Publications

Disclaimer: The material below is presented to ensure the timely dissemination of our work. Most links are either to authors' own copies, which might be slightly different from the final version of a paper, or to the open access papers. Copyright and other rights are retained and restricted by authors or by other copyright holders. All persons downloading this material must adhere to the terms invoked by copyright.

2022

• S. Larimian, M.R. Mahmoodi, and D.B. Strukov, “Improving machine learning attack resiliency via conductance balancing in memristive strong PUFs”, IEEE Transactions on Electron Devices, vol. 69 (4), pp. 1816-1822, 2022

• A.M.C. Deiana et al., “Applications and techniques for fast machine learning in science”, Frontiers on Big Data, vol. 5, art. 787421, 2022 (review)

--- Talks, Theses, Technical Reports ---

• D. Strukov, "Solving combinatorial optimization problems with nanoelectronic neuromorphic circuits", Nano4Neuro Workshop, Oak Ridge, TN, August 2022 (invited, virtual)

• D. Strukov, "Solving optimization problems with nanoelectronic neuromorphic circuits", SEMICON'22 China, Hangzhou, China, July 2022 (invited, virtual)

• D. Strukov, “High-performance neuromorphic optimization with analog nonvolatile memory circuits”, Materials Research Society (MRS) Spring Meeting, Honolulu, HI, May 2022 (invited)

2021

• K.K. Berggren et al., “Roadmap on emerging hardware and technology for machine learning”, IOP Nanotechnology, vol. 32, art. 012002, 2021 (review)

• M.R Mahmoodi, Z. Fahimi, M. Klachko, H. Nili, and D. Strukov, “The impact of device uniformity on functionality of analog passively-integrated memristive circuits”, IEEE Transactions on Circuits and Systems I, vol. 68 (10), pp. 4090 – 4101, 2021

• H. Kim, M.R. Mahmoodi, H. Nili, and D.B. Strukov, “4K-memristor analog-grade passive crossbar circuit”, Nature Communications, vol. 12, art. 5198, 2021

• M. Bavandpour, S. Sahay, M.R. Mahmoodi, and D.B. Strukov, “3D-aCortex: An ultra-compact energy-efficient neurocomputing platform based on commercial 3D-NAND flash memories”, Neuromorphic Computing and Engineering, vol. 1, art. 014001, 2021

• M.R. Mahmoodi, Z.Fahimi, H. Nili, V. Polishchuk, and D.B Strukov, “Combinatorial optimization by weight annealing in memristive Hopfield networks”, Nature Scientific Reports, vol. 11, art 16383, 2021

• G. Tzimpragos, A. Madhavan, D. Vasudevan, D. Strukov, and T. Sherwood, “In-sensor classification with boosted race trees”, Communications of the ACM, vol. 64 (6), pp. 99-105, 2021 - ACM research highlights of 2020

--- Talks, Theses, Technical Reports ---

• Z. Fahimi, "Energy-efficient neuromorphic computing with CMOS-integrated memristive crossbars", Ph.D. thesis, UC Santa Barbara, December 2021

• S. Larimian, "Design and machine learning resiliency of memristor- and eFlash-memory-based strong physical unclonable functions", Ph.D. thesis, UC Santa Barbara, May 2021

• M.R. Mahmoodi, "Novel circuits and systems with analog-grade memories", Ph.D. thesis, UC Santa Barbara, April 2021

• D. Strukov, "FEOL in-memory computing devices", NSF Workshop on Devices-to-Systems for In-Memory Computing, May 2011 (organizer & panel moderator, virtual)

• D. Strukov, "Neuromorphic optimization with nonvolatile memories", International Symposium on Memory Devices for Abundant Data Computing, Hong Kong, China, May 2021 (invited talk, virtual)

• D. Strukov, "Stochastic dot-product circuits based on dense nonvolatile analog memory devices and their applications in high-performance neuromorphic computing and optimization", Intel Corp, Portland, OR, May 2021 (invited seminar, virtual)

• D. Strukov, "Neurocomputing and neurooptimization with stochastic memristive networks", IEEE International Symposium on VLSI Design, Automation, and Test (VLSI-DAT'21), Hsinchu, Taiwan, April 2021 (invited talk, virtual)

• D. Strukov, "Memory-based neuromorphic hardware for advanced neural network models", SemiCon'21 Korea, Seoul, Korea, February 2021 (invited talk, virtual)

2020

• • • M. Bavandpour, M.R. Mahmoodi, and D.B. Strukov, “aCortex: An energy-efficient multi-purpose mixed-signal inference accelerator”, IEEE Journal on Exploratory Solid-State Computational Devices and Circuits, vol. 6, pp. 98-106, 2020

    • M.R. Mahmoodi, Z. Fahimi, S. Larimian, H. Nili, H. Kim, and D.B. Strukov, “A strong physically unclonable function with > 2^80 CRPs and < 1.4% BER using passive ReRAM technology”, IEEE Solid-State Circuits Letters, vol. 3, pp. 182-185, 2020

• S. Chen, M.R. Mahmoodi, Y. Shi, C. Mahata, B. Yuan, X. Liang, C. Wen, F. Hui, D. Akinwande, D.B. Strukov, and M. Lanza, “Wafer-scale integration of two-dimensional materials in high-density memristive crossbar arrays for artificial neural networks”, Nature Electronics, vol. 3 (10), pp. 638-645, 2020

• S. Sahay, M. Bavandpour, M.R. Mahmoodi, and D. Strukov, “Energy-efficient moderate precision time-domain mixed-signal vector-by-matrix multiplier exploiting 1T-1R arrays”, IEEE Journal on Exploratory Solid-State Computational Devices and Circuits, vol. 6, pp. 18-26, 2020

• M.R. Mahmoodi, A. Vincent, H. Nili, and D. Strukov, “Intrinsic bounds for computing precision in memristor-based vector-by-matrix multipliers”, IEEE Transactions on Nanotechnology, vol. 19, pp. 429-435, 2020

• H. Nili, A.F. Vincent, M. Prezioso, M.R. Mahmoodi, I. Kataeva, and D.B. Strukov, “Comprehensive compact phenomenological modeling of integrated metal-oxide memristors”, IEEE Transactions on Nanotechnology, vol. 19, pp. 344-349, 2020

• S. Larimian, M.R. Mahmoodi, and D.B. Strukov, “Lightweight integrated design of PUF and TRNG security primitives based on eFlash memory in 55-nm CMOS”, IEEE Transactions on Electron Devices, vol. 67 (4), pp. 1586-1592, 2020

• M. Bavandpour*, S. Sahay*, M. Mahmoodi, and D. Strukov, “Efficient mixed-signal neurocomputing via successive integration and division”, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, vol. 28 (3), pp. 823 – 827, 2020

• M. Bavandpour, S. Sahay, M.R. Mahmoodi, and D. Strukov, “Mixed-signal vector-by-matrix multiplier circuits based on 3D-NAND memories for neurocomputing”, Proc. DATE'20, Grenoble, France, March 2020, pp. 696-701

• S. Sahay, M. Bavandpour, M.R. Mahmoodi, and D. Strukov, “A 2T-1R cell array with high dynamic range for mismatch-robust and efficient neurocomputing”, Proc. IEEE IMW'20, Monterey, CA, May 2020, pp. 1-4

• S. Larimian, M. Mahmoodi, and D. Strukov, “Improving machine learning attack resiliency via conductance balancing in memristive strong PUFs”, Proc. SRC Techcon’20, Austin, TX, September 2020, pp. 1-4

--- Talks, Theses, Technical Reports ---

• M. Bavandpour, “Toward efficient mixed-signal neural inference accelerators using non-volatile memory devices”, Ph.D. thesis, UC Santa Barbara, March 2020

• M. Klachko, “Hardware-aware training of mixed-signal neural networks”, Ph.D. thesis, UC Santa Barbara, March 2020

• D.B. Strukov, "Micro / nano circuits and systems design", NSF Workshop, December 2020 (invited panel, virtual)

• D.B. Strukov, "Beyond CMOS", Fast Machine Learning for Science Workshop, Dallas, TX, December 2020 (invited talk, virtual)

• D.B. Strukov, "High-performance stochastic memristive networks for neurocomputing and neurooptimization", Pacific Rim Meeting on Electrochemical and Solid State Science (PRiME), Honolulu, HI, October 2020 (invited talk, virtual)

• D.B. Strukov, "Mixed-signal neuromorphic image classifiers: Non-idealities and their mitigation approaches", IEEE International Symposium on Quality Electronic Design (ISQED), Santa Clara, CA, March 2020 (invited talk, virtual)

• D.B. Strukov, "Device requirements and challenges of mixed-signal neuromorphic hardware", National Academy of Sciences, Engineering, and Medicine (NASEM) Condensed Matter and Materials Research Committee Workshop, Washington, DC, February 2020 (invited talk and panel)

2019

• M. Mahmoodi, M. Prezioso, and D. Strukov, "Versatile stochastic dot product circuits based on nonvolatile memories for high-performance neurocomputing and neurooptimization", Nature Communications, vol.10, art. 5113, 2019

• S. Fusi, J. Grollier, G. Indiveri, and D. Strukov, "Building brain-inspired computing", Nature Communications, vol. 10, art. 4838, 2019

• S. Chen, S. Noori, M.A. Villena, Y. Shi, T.Han, Y. Zuo, M. Pedeferri, D. Strukov, M. Lanza, and M.V. Diamanti, "Memristive electronic synapses made by anodic oxidation", Chemistry of Materials, vol. 31 (20), pp. 8394-8401, 2019

• M. Mahmoodi, D. Strukov, and O. Kavehei, "Experimental demonstrations of security primitives with nonvolatile memories", IEEE Transactions on Electron Devices, vol. 66 (12), pp. 5050-5059, 2019

• S. Sahay and D.B. Strukov, “A behavioral compact model for static characteristics of 3D NAND flash memory”, IEEE Electron Device Letters, vol. 40 (4), pp. 558-561, 2019

• S. Sahay, M. Klachko, and D.B. Strukov, “Hardware security primitive exploiting intrinsic variability in analog behavior of 3D NAND flash memory array”, IEEE Transactions on Electron Devices, vol. 66 (5), pp. 2158-2164, 2019

• M. Bavandpour, M.R. Mahmoodi, and D.B. Strukov, “Energy-efficient time-domain vector-by-matrix multiplier for neurocomputing and beyond”, IEEE Transactions on Circuits and Systems - II, Exp. Briefs, vol. 66 (9), pp. 1512-1516, 2019

• M. Lanza et al., “Recommended methods to study resistive switching devices”, Advanced Electronic Materials, vol. 5 (1), art. 180143, 2019

• M. Mahmoodi*, H. Nili*, Z. Fahimi, S. Larimian, H. Kim, and D. Strukov, "Ultra-low power physical unclonable function with nonlinear fixed-resistance crossbar circuits", Proc. IEDM'19, San Francisco, CA, December 2019, pp. 30.1.1-30.1.4

• M. Mahmoodi*, H. Kim*, Z. Fahimi, H. Nili, L Sedov, V. Polishchuk, and D. Strukov, "An analog neuro-optimizer with adaptable annealing based on 64×64 0T1R crossbar circuit", Proc. IEDM'19, San Francisco, CA, December 2019, pp. 14.7.1-14.7.4

• M. Bavandpour, S. Sahay, M.R. Mahmoodi, and D.B. Strukov, "Mixed-signal neuromorphic processors: Quo vadis?", Proc. IEEE S3S'19, San Jose, CA, October 2019, pp. 1-2 - best paper nomination

• M. Klachko, M.R. Mahmoodi, and D. Strukov, “Improving noise tolerance of mixed-signal neural networks”, Proc. IJCNN’19, Budapest, Hungary, July 2019, pp. 1-8

• M.R. Mahmoodi, S. Larimian, and D.B. Strukov, “ChipSecure: A reconfigurable analog eFlash-based strong PUF with machine learning attack resiliency in 55nm CMOS”, Proc. DAC’19, Las Vegas, NV, June 2019, art. 137

• N. Wu, A. Vincent, and D. Strukov, “Preliminary results towards reinforcement learning with mixed-signal memristive neuromorphic circuits”, Proc. ISCAS’19, Sapporo, Japan, May 2019, pp. 1-5

• I. Kataeva, S. Ohtsuka, Y. Isobe, K. Yako, H. Nili, H. Kim, and D. Strukov, “Towards the development of analog neuromorphic chip prototype with 2.4M integrated memristors”, Proc. ISCAS’19, Sapporo, Japan, May 2019, pp. 1-5

• G. Tzimpragos, A. Madhavan, D. Vasudevan, D. Strukov, and T. Sherwood, “Boosted race trees for low energy classification”, Proc. ASPLOS’19, Providence, RI, April 2019, pp. 215-228 - best paper award

--- Talks, Theses, Technical Reports ---

• D.B. Strukov, "Analog memory for machine learning", SRC/SIA/DoE Decadal Plan workshop on New Trajectories for Analog Electronics, Morgan Hill, CA, December 2019 (invited panel)

• D.B. Strukov, "Rest in peace Moore’s law, long live AI", International Electron Device Meeting (IEDM'19), San Francisco, CA, December 2019 (invited panel)

• D.B. Strukov, "Mixed-signal nanoelectronic circuits for neuromorphic computing", Inaugural Chua Memristor Institute Conference on Theory, Devices, and Applications, Wuhan, China, November 2019 (keynote)

• D.B. Strukov, "Mixed-signal nanoelectronic circuits for neuromorphic inference and beyond ", Nature Conference on Neuromorphic Computing, Beijing, China, October 2019 (invited)

• D.B. Strukov, "Memory-based neuromorphic hardware for advanced neural network models", Molecular Foundry Annual User Meeting, Berkeley, CA, August 2019 (invited)

• D.B. Strukov, "Alternative computing with memristors", IEEE Central Coast Section, Goleta, CA, July 2019 (seminar, IEEE Nanotechnology Council Distinguished Lecture)

• D.B. Strukov, "Neurocomputing and hardware security with memory devices", IEEE Workshop on Microelectronics and Electron Devices, Boise, ID, April 2019 (invited)

2018

• M. Prezioso*, M. Mahmoodi*, F. Merrikh Bayat*, H. Kim, H. Nili, A. Vincent, and D. Strukov, "Spike-timing-dependent plasticity learning of coincidence detection with passively integrated memristive circuits", Nature Communications, vol. 9, art. 5311, 2018

• A. Madhavan, T. Sherwood, and D.B. Strukov, "High-throughput pattern matching with CMOL FPGA circuits: Case for logic-in-memory computing", IEEE Transactions on Very Large Scale Integration (VLSI) Systems, vol. 26, pp. 2759-2772, 2018

• F. Merrikh Bayat*, X. Guo*, M. Klachko, M. Prezioso, K.K. Likharev, and D.B. Strukov, “High-performance mixed-signal neurocomputing with nanoscale floating-gate memory cells”, IEEE Transactions on Neural Networks & Learning Systems, vol. 29, pp. 4782-4790, 2018

• F. Merrikh Bayat*, M. Prezioso*, B. Chakrabarti, H. Nili, I. Kataeva, and D. Strukov, "Implementation of multilayer perceptron network with highly uniform passive memristive crossbar circuits", Nature Communications, vol. 9, art. 2331, 2018

• H. Nili, G.C. Adam, B. Hoskins, M. Prezioso, J. Kim, M.R. Mahmoodi, F. Merrikh Bayat, O. Kavehei, and D.B. Strukov, "Hardware-intrinsic security primitives enabled by analogue state and nonlinear conductance variations in integrated memristors", Nature Electronics, vol. 1, pp. 197–202, 2018 (supplementary material) - journal cover

• D. Gavrilov, D.B. Strukov, and K.K. Likharev, "Capacity, fidelity, and noise tolerance of associative spatial-temporal memories based on memristive neuromorphic networks", Frontiers in Neuroscience, vol. 12, art. 195, 2018

• D.B. Strukov, "Tightening grip", Nature Materials, vol. 17, pp. 293-295, 2018

• M. Bavandpour*, M.R. Mahmoodi^*, H. Nili, F. Merrikh Bayat, M. Prezioso, A. Vincent, K.K. Likharev, and D.B. Strukov, "Mixed-signal neuromorphic inference accelerators: Recent results and future prospects", Proc. IEDM'18, San Francisco, CA, December 2018, pp. 20.4.1-20.4.4 (invited)

• Z. Fahimi, M.R. Mahmoodi, M. Bavandpour, and D. Strukov, "Mixed-signal computing with non-volatile memories", Proc. SRC TechCon’18, Austin, TX, September 2018

• M.R. Mahmoodi and D.B. Strukov, "An ultra-low energy internally analog, externally digital vector-matrix multiplier circuit based on NOR flash memory technology", Proc. DAC’18, San Francisco, CA, June 2018, art. 22

• M.R. Mahmoodi and D.B. Strukov, "Breaking POp/J barrier with analog multiplier circuits based on nonvolatile memories", Proc. ISPLED’18, Bellevue, WA, July 2018, art. 39

• M.R. Mahmoodi, H. Nili, and D.B. Strukov, "RX-PUF: Low power, dense, reliable, and resilient physically unclonable functions based on analog passive RRAM crossbar arrays", Proc. VLSI Symp’18, Honolulu, HI, June 2018, art. 176

• J. Kim, H. Nili, G.C. Adam, N.D. Truong, D.B. Strukov, and O. Kavehei, "Predictive analysis of 3D ReRAM-based PUF for securing the Internet of Things", Proc. TenSymp’18, Sydney, Australia, July 2018, pp. 57-60

• X. Guo, F. Merrikh Bayat, M. Prezioso, and D.B. Strukov, "180-nm NOR-flash mixed-signal neuromorphic image classifier: Chip-to-chip statistics, retention, and temperature sensitivity", Proc. GOMAC Tech’18, Miami, FL, March 2018, pp. 1-4

--- Talks, Theses, Technical Reports ---

• D.B. Strukov, "Mixed-signal neuromorphic inference accelerators", International Workshop on Future Computing (IWOFC'18), Shenzhen, China, December 2018 (invited)

• D.B. Strukov, "Mixed-signal neuromorphic inference accelerators", ARL workshop on Nanotechnology-Enabled Beyond von Neumann Computing, Adelphi, Maryland, November 2018 (invited tutorial)

• D.B. Strukov, "Mixed-signal vector-by-matrix multiplication with nonvolatile memories", Non-Volatile Memory Technology Symposium (NVMTS'18), Sendai, Japan, October 2018 (invited)

• A.F. Vincent, H. Nili, M. Prezioso, M.R. Mahmoodi, F. Merrikh Bayat, and D. Strukov, “Toward an empirical compact model for crossbar integrated metal-oxide memristors”, Americas International Meeting on Electrochemistry and Solid-State Science (AIMES’18), Cancun, Mexico, October 2018 (invited)

• D.B. Strukov, "Recent results and future prospects for mixed-signal nanoelectronic neurocomputing", DARPA ERI Workshop, San Francisco, CA, July 2018 (invited)

• D.B. Strukov, "Mixed-signal nanoelectronic neurocomputing", AI Design Forum at Applied Materials Inc., San Jose, CA, May 2018 (keynote)

• M.R. Mahmoodi and D.B. Strukov, “Mixed-signal POp/J computing with nonvolatile memories”, GLSVLSI’18, Chicago, IL, May 2018, pp. 513-514 (invited)

• D.B. Strukov, “Opportunities and challenges for neurocomputing with nonvolatile memories”, International Memory Workshop (IMW’18), Kyoto, Japan, May 2018 (invited tutorial)

• D.B. Strukov, “Analog neurocomputing with emerging memory devices”, APS Society March Meeting, Los Angeles, CA, March 2018 (invited)

• D.B. Strukov, “Mixed-signal neurocomputing”, IEEE Custom Integrated Circuits Conference (CICC’18), San Diego, CA, April 2018 (invited)

2017

• • B. Chakrabarti, M.A. Lastras-Montano, G. Adam, M. Prezioso, B. Hoskins, M. Payvand, A. Madhavan, A. Ghofrani, L. Theogarajan, K.-T. Cheng, and D.B. Strukov, “A multiply-add engine with monolithically integrated 3D memristor crossbar/CMOS hybrid circuit”, Nature Scientific Reports, vol. 7, art. 42429, 2017

  • B.D. Hoskins and D.B. Strukov, “Maximizing stoichiometry control in reactive sputter deposition of TiO₂”, Journal of Vacuum Science & Technology A, vol. 35, art. 20606, 2017

  • G.C. Adam, B.D. Hoskins, M. Prezioso, F. Merrikh-Bayat, B. Chakrabarti, and D.B. Strukov, “3-D memristor crossbars for analog and neuromorphic computing applications”, IEEE Transactions on Electron Devices, vol. 64 (1), pp. 312-318, 2017

• B.D. Hoskins, G.C. Adam, E. Strelcov, N. Zhitenev, A. Kolmakov, D.B. Strukov, and J.J. McClelland, "Stateful characterization of resistive switching TiO₂ with electron beam induced currents", Nature Communications, vol. 8, art. 1972, 2017

• C. Wu, T.W. Kim, H.Y. Choi, D.B. Strukov, and J.J. Yang, "Flexible three-dimensional artificial synapse networks with correlated learning and trainable memory capability", Nature Communications, vol. 8, art. 752, 2017

• X. Guo*, F. Merrikh Bayat*, M. Bavandpour, M. Klachko, M.R. Mahmoodi, M. Prezioso, K.K. Likharev, and D.B. Strukov, "Fast, energy-efficient, robust, and reproducible mixed-signal neuromorphic classifier based on embedded NOR flash memory technology", Proc. IEDM'17, San Francisco, CA, December 2017, pp. 6.5.1-6.5.4

• F. Merrikh Bayat, M. Prezioso, B. Chakrabarti, I. Kataeva, and D. Strukov, "Memristor-based perceptron classifier: Increasing complexity and coping with imperfect hardware", Proc. ICCAD'17, Irvine, CA, November 2017, pp. 549-554

• F. Merrikh Bayat, X. Guo, and D.B. Strukov, “Exponential-weight multilayer perceptron”, Proc. IJCNN’17, Anchorage, AK, May 2017, pp. 3709-3715

• A. Madhavan, T. Sherwood, and D.B. Strukov, “A 4-mm² 180-nm-CMOS 15-Giga-cell-updates-per-second DNA sequence alignment engine based on asynchronous race conditions”, Proc. CICC’17, Austin, TX, April-May 2017, pp. 1-4

• X. Guo, F. Merrikh Bayat, M. Prezioso, Y. Chen, B. Nguyen, N. Do, and D.B. Strukov, “Temperature-insensitive analog vector-by-matrix multiplier based on 55 nm NOR flash memory cells”, Proc. CICC’17, Austin, TX, April-May 2017, pp. 1-4

• M.A. Lastras-Montano, B. Chakrabarti, D.B. Strukov, and K.-T. Cheng, “3D-DPE: A 3D high-bandwidth dot-product engine for high-performance neuromorphic computing”, Proc. DATE’17, Lausanne, Switzerland, March 2017, pp. 1257 - 1260

• G.C. Adam, H. Nili, J. Kim, B.D. Hoskins, O. Kavehei, and D.B. Strukov, "Utilizing I-V non-linearity and analog state variations in ReRAM-based security primitives", Proc. ESSDERC’17, Leuven, Belgium, September 2017, pp. 74-77

• G.C. Adam, B. Chrakrabarti, H. Nili, B. Hoskins, M.A. Lastras-Montaño, A. Madhavan, M. Payvand, A. Ghofrani, K.-T. Cheng, L. Theogarajan, and D.B. Strukov, "3D ReRAM arrays and crossbars: Fabrication, characterization and applications", Proc. IEEE Nano’17, Pittsburgh, PA, July 2017, pp. 844-849

• F. Merrikh Bayat, M. Prezioso, and B. Chakrabarti, "Experimental demonstration of firing rate neural networks based on metal-oxide memristive crossbars", Neuro-inspired Computing Using Resistive Synaptic Devices, S. Yu Ed., Springer International Publisher, pp. 113-134, 2017 (book chapter, review)

--- Talks, Theses, Technical Reports ---

• X. Guo, “Mixed-signal neurocomputing based on floating-gate memories”, Ph.D. thesis, UC Santa Barbara, March 2017

• H. Nili, G.C. Adam, M. Prezioso, J. Kim, O. Kavehei, and D. Strukov, “Reconfigurable cryptographic primitives based on integrated memristive crossbars”, MRS Fall Meeting, Boston, MA, December 2017

• B.D. Hoskins, G.C. Adam, E. Strelcov, A. Kolmakov, N. Zhitenev, D.B. Strukov, and J.J. McClelland, "Principles and practice of electron beam induced current microscopy of resistive nanodevices", NIST/Intel Symposium on Nanoelectronics Characterization & Metrology Advances and Breakthroughs, Gaithersburg, MD, November 2017

• D.B. Strukov, "Neurocomputing with emerging nonvolatile memories", Workshop on Neuro-inspired Computing Using Nanoelectronic Devices, San Diego, CA, October 2017 (invited)

• D.B. Strukov, "Emerging memories for neurocomputing", ESSDERC'17, Leuven, Belgium, September 2017 (invited tutorial)

• D.B. Strukov, "Mixed-signal nanoelectronic neurocomputing", S3S'17, San Francisco, CA, October 2017 (invited)

• G.C. Adam, B.D. Hoskins, B. Chakrabarti, and D. Strukov, "Challenges and progress in 3-dimensional stacking of passive analog ReRAM crossbars", IMEC-Stanford International Workshop on Resistive Switching Memories, Leuven, Belgium, September 2017

• D.B. Strukov, "Unconventional computing with memristors", XXVI International Materials Research Congress, August 2017 (invited)

• D.B. Strukov, Hardware security and in-memory computing with memristive devices", IEEE International Roadmap for Devices and Systems, Albuquerque, NM, July 2017 (invited)

• M. Prezioso, F. Merrikh Bayat, Y. Zhong, and D. Strukov, "TiO₂-based memristor enables experimental biological-like STDP coincidence detection", E-MRS Symposium, Strasbourg, France, May 2017

• G.C. Adam, B. Chakrabarti, H. Nili, B.D. Hoskins, and D.B. Strukov, "Fabrication, CMOS integration and applications of non-volatile 3D metal oxide crossbars", MEMRISYS'17, Athens, Greece, April 2017

• D.B. Strukov, "Memristor-based spiking neuromorphic networks", MRS Spring Meeting, Phoenix, AR, April 2017 (invited)

• D.B. Strukov, "Mixed-signal nanoelectronic hardware for ultra-fast, ultra-energy-efficient neuromorphic computing", Workshop on Energy Consequences of Information, Santa Fe, NM, February 2017 (invited)

2016

• G.C. Adam, B.D. Hoskins, M. Prezioso, and D.B. Strukov, “Optimized stateful material implication logic for 3D data manipulation”, Nano Research, vol. 9, pp. 3914-3923, 2016

• M. Prezioso, F. Merrikh Bayat, B. Hoskins, K. Likharev, and D. Strukov, "Self-adaptive spike-time-dependent plasticity of metal-oxide memristors", Nature Scientific Reports, vol. 6, art. 21331, 2016

• L. Gao, B. Hoskins, and D. Strukov, “Correlation between diode polarization and resistive switching polarity in Pt/TiO₂/Pt memristive device”, Physica Status Solidi (a), vol. 10, pp. 426-430, 2016 - journal back cover

• D.B. Strukov, “Endurance-write speed tradeoffs in nonvolatile memories”, Applied Physics A, vol. 122, art. 302, 2016

• G.C. Adam, B.D. Hoskins, M. Prezioso, F. Merrikh Bayat, B. Chakrabarti, and D.B. Strukov, "Highly-uniform multi-layer ReRAM crossbar circuits", Proc. ESSDERC’16, Lausanne, Switzerland, September 2016, pp. 436-439

• L. Ceze, J. Hasler, K.K. Likharev, J.-s. Seo, T. Sherwood, D. Strukov, Y. Xie, and S. Yu, “Nanoelectronic neurocomputing: Status and prospects”, Proc. DRC’16, Newark, DE, June 2016, pp. 1-2 (invited)

• F. Merrikh Bayat, X. Guo, M. Klachko, N. Do, K. Likharev, and D. Strukov, “Model-based high-precision tuning of NOR flash memory cells for analog computing applications”, Proc. DRC’16, Newark, DE, June 2016, pp. 1-2

• L. Zhang, B. Neely, D. Franklin, D. Strukov, Y. Xie, and F.T. Chong, “Mellow writes: Extending lifetime in resistive memories through selective slow write backs”, Proc. ISCA’16, Seoul, South Korea, June 2016, pp. 519-531

• A. Madhavan, T. Sherwood, and D. Strukov, “Energy efficient computation with asynchronous races”, in: Proc. DAC’16, Austin, TX, June 2016, art. 108

• M. Prezioso, Y. Zhong, D. Gavrilov, F. Merrikh-Bayat, B. Hoskins, G. Adam, K. Likharev, and D. Strukov, “Spiking neuromorphic networks with metal-oxide memristors”, Proc. ISCAS'16, Montreal, Canada, May-June 2016, pp. 177-180 (invited)

• M. Prezioso, F. Merrikh-Bayat, B. Chakrabarti, and D. Strukov, “RRAM-based hardware implementations of artificial neural networks: Progress update and challenges ahead”, Proc. SPIE’16 Photonics West, San Francisco, CA, February 2016, art. 974918 (invited)

• D. B. Strukov, “Pattern classification with memristive crossbar circuits”, Proc. GOMAC Tech’16, Orlando, FL, March 2016 (invited)

--- Talks, Theses, Technical Reports ---

• B. Hoskins, “Processing and characterization of TiO₂-based resistive switches”, Ph.D. thesis, UC Santa Barbara, September 2016

• A. Madhavan, “Abusing hardware race conditions to perform useful computation”, Ph.D. thesis, UC Santa Barbara, September 2016

• E. Zamanidoost, "Hardware aware and architecture friendly training of memristor-based neural network pattern classifiers", Ph.D. thesis, UC Santa Barbara, November 2016

• B. Chakrabarti, M. Lastras-Montano, G. Adam, M. Prezioso, B. Hoskins, A. Shkabko, K.-T. Cheng, and D. Strukov, “High-precision tunable multilevel Al₂O₃/TiO_x bilayer memristive devices monolithically integrated on CMOS substrate for stand-alone memory applications”, MRS Fall Meeting, Boston, MA, December 2016

• D. Strukov, “Neuromorphic computing with resistive switching devices”, MRS Fall Meeting, Boston, MA, Decemeber 2016 (invited)

• D. Strukov, “Emerging memory technologies for neuromorphic computing”, Non-Volatile Memory Technology Symposium, Pittsburg, PA, October 2016 (invited)

• D. Strukov, “Emerging memory technologies for neuromorphic computing”, International Conference on Solid State Devices and Materials, Tsukuba, Japan, September 2016 (invited)

• D. Strukov, “Neuromorphic engineering with emerging memory devices”, Communications, Microsystems, Optoelectronics, and Sensors Emerging Technologies Conference, Montreal, Canada, May 2016 (invited)

• M. Prezioso, "Brain-inspired computation based on memristive devices", E-MRS Symposium, Lille, France, May 2016 (invited)

2015

• • M. Prezioso*, F. Merrikh Bayat*, B.D. Hoskins*, G.C. Adam, K.K. Likharev, and D.B. Strukov, "Training and operation of an integrated neuromorphic network based on metal-oxide memristors", Nature, vol. 521, pp. 61-64, 2015

• X. Guo*, F. Merrikh-Bayat*, L. Gao, B. D. Hoskins, F. Alibart, B. Linares-Barranco, L. Theogarajan, C. Teuscher, and D.B. Strukov, "Modeling and experimental demonstration of a Hopfield network analog-to-digital converter with hybrid CMOS/memristor circuits", Frontiers in Neuroscience, vol. 9, art. 488, 2015

• A. Madhavan, T. Sherwood, and D.B. Strukov, "Race logic: Abusing hardware race conditions to perform useful computation", IEEE Micro, vol. 35 (3), pp. 48-57, 2015 - top picks from 2014 computer architecture conferences

• F. Merrikh Bayat, B. Hoskins, and D.B. Strukov, "Phenomenological modeling of memristive devices", Applied Physics A, vol. 118 (3), pp. 770-786, 2015

• H. Nili, S. Walia, A.E. Kandjani, R. Ramanathan, P. Gutruf, T. Ahmed, S. Balendhran, V. Bansal, D.B. Strukov, O. Kavehei, M. Bhaskaran, and S. Sriram, "Donor-induced performance tuning of amorphous SrTiO₃ memristive nanodevices: Multistate resistive switching and mechanical tunability", Advanced Functional Materials, vol. 25, pp. 3172-3182, 2015

• L. Gao, B. Hoskins, M. Zaynetdinov, V. Kochergin, and D. Strukov, "The effect of Ti and O ion implantation on the resistive switching in Pt/TiO_2-x/Pt devices", Applied Physics A , vol. 120, pp. 1599-1603, 2015

• M. Prezioso, I. Kataeva, F. Merrikh-Bayat, B. Hoskins, G. Adam, T. Sota, K. Likharev, and D. Strukov, "Modeling and implementation of firing-rate neuromorphic-network classifiers with bilayer Pt/Al₂O₃/TiO_2-x/Pt memristors", Proc. IEDM'15, Washington, DC, December 2015, pp. 17.4.1 – 17.4.4

• E. Zamanidoost, M. Klachko, I. Kataeva, and D.B. Strukov, "Low area overhead in-situ training approach for memristor-based classifier", Proc. NanoArch'15, Boston, MA, July 2015, pp. 139-142

• E. Zamanidoost, F. Merrikh Bayat, I. Kataeva, and D.B. Strukov, "Manhattan Rule training for memristive crossbar circuit pattern classifiers", Proc. WISP'15, Siena, Italy, May 2015, pp. 1-6

• I. Kataeva, F. Merrikh Bayat, E. Zamanidoost, and D.B. Strukov, "Efficient training algorithms for neural networks based on memristive crossbar circuits", Proc. IJCNN'15, Killarney, Ireland, July 2015, pp. 1-8

• F. Merrikh Bayat, M. Prezioso, X. Guo, B. Hoskins, D.B. Strukov, and K.K. Likharev, "Memory technologies for neural networks", Proc. IMW'15, Monterey, CA, May 2015, pp. 1-4. (review)

• M. Payvand, A. Madhavan, M. Lastras-Montaño, A. Ghofrani, J. Rofeh, K.-T. Cheng, D. Strukov, L. Theogarajan, "A configurable CMOS memory platform for 3D-integrated memristors", Proc. ISCAS'15, Lisbon, Portugal, May 2015, pp. 1378-1381

• F. Merrikh Bayat, X. Guo, H.A. Om'mani, N. Do, K.K. Likharev, and D.B. Strukov, "Redesigning commercial floating-gate memory for analog computing applications", Proc. ISCAS'15, Lisbon, Portugal, May 2015, pp. 1921-1924

• B. Geist, D. Strukov, and V. Kochergin, “Experimental and theoretical investigation of minimization of forming-induced variability in resistive memory devices”, Proc. MRS Symposium'15, vol. 1729, 2015

--- Talks, Theses, Technical Reports ---

• G. Adam, “3D integrated memristive devices for memory and computing”, Ph.D. thesis, UC Santa Barbara, December 2015

• F. Merrikh Bayat, “Towards efficient implementation of neuromorphic systems with emerging device technologies”, Ph.D. thesis, UC Santa Barbara, April 2015

• G. Adam, B. Hoskins, B. Chakrabarti, and D.B. Strukov, "Improving Pt/TiO_2-x/Pt memristor performance via in-situ contacts", MRS Fall Meeting, Boston, MA, December 2015

• F. Merrikh Bayat, "Towards flash-based implementation of deep-learning networks”, NVMTS'15, Beijing, China, October 2015 (invited)

• M. Prezioso, "Neural networks implementation based on passive memristive crossbars", NVMTS'15, Beijing, China, October 2015 (invited)

• B.D. Hoskins, G.C. Adam, M. Prezioso, and D.B. Strukov, "Process control in reactive sputter deposition of Al₂O₃/TiO_2-x memristive bilayer devices", E-MRS Spring Meeting, Lille, France, May 2015

• G.C. Adam, B.D. Hoskins, M. Prezioso, and D.B. Strukov, "Stacked bipolar resistive switches using non-stoichiometric TiO_2-x", E-MRS Spring Meeting, Lille, France, May 2015

• M. Prezioso, F. Merrikh-Bayat, B. Hoskins, and D.B. Strukov, "Experimental biological-like mSTDP learning windows and random walk dynamics in a TiO₂-based memristor", E-MRS Spring Meeting, Lille, France, May 2015

• F. Merrikh-Bayat, M. Prezioso, B.D. Hoskins, G.C. Adam, and D.B. Strukov, "Pattern classifier with memristor crossbar-based synaptic weights", E-MRS Spring Meeting, Lille, France, May 2015

• M. Prezioso, "Operation of a memristor-based single layer neural network", Workshop on Innovative Sensing for Robotics: Focus on Neuromorphic Sensors (co-located with ICRA'15), Seattle, WA, May 2015 (invited)

• F. Merrikh-Bayat, "Artificial neural network implementation based on emerging memory technologies", CMOSET'15, Vancouver, Canada, May 2015 (invited)

• F. Merrikh-Bayat, "Next generation of neuromorphic hardware", 1^st Workshop on Memristors – Devices, Models, Circuits, Systems and Applications, Lisbon, Portugal, May 2015 (invited)

2014

• H. Nili, S. Walia, S. Balendhran, D.B. Strukov, M. Bhaskaran, and S. Sriram, "Nanoscale resistive switching in amorphous perovskite oxide (a-SrTiO3) memristors", Advanced Functional Materials, vol. 24 (43), pp. 6741-6750, 2014

• E. Mikheev, B. Hoskins, D. B. Strukov, and S. Stemmer, "Resistive switching and its suppression in Pt/Nb:SrTiO3 junctions", Nature Communications, vol. 5, art. 3990, 2014

• L. Zhang, D.B. Strukov, H. Saadeldeen, D. Fan, M. Zhang, and D. Franklin, "SpongeDirectory: Flexible sparse directories utilizing multi-level memristors", Proc. PACT'14, Edmonton, Canada, August 2014, pp. 61-73

• A. Madhavan, T. Sherwood, and D.B. Strukov, "Race logic: A hardware acceleration for dynamic programming algorithms", Proc. ISCA’14, Twin Cities, MN, June 2014, pp. 517-528

• F. Merrikh-Bayat, F. Alibart, L. Gao, and D.B. Strukov, "A reconfigurable FIR filter with memristor-based weights", Proc. CAS-FEST (ISCAS) ’14, Melbourne, Australia, June 2014

--- Talks, Theses, Technical Reports ---

• M. Prezioso, F. Merrikh-Bayat, B. Hoskins, G. Adam, K.K. Likharev, and D. Strukov, "Pattern classification by memristive crossbar array", Workshop on Innovative Nanoscale Devices and Systems, Kohala coast, HI, December 2014 (invited)

• B.L. Geist, D. Strukov, and V. Kochergin, "Experimental and theoretical investigation of minimization of forming-induced variability in resistive memory devices", MRS Fall Meeting, Boston, Ma, December 2014

• M. Prezioso, F. Merrikh-Bayat, B. Hoskins, G. Adam, D. B. Strukov, and K.K. Likharev, "Training and operation of an integrated neural network based on metal-oxide memristors", Annual International Conference on Biologically Inspired Cognitive Architectures, Boston, MA, November 2014 (invited)

• M. Prezioso, F. Merrikh-Bayat, B. Hoskins, G. Adam, and D. Strukov, "Pattern classification by memristive crossbar array", Symposium on Adaptive Materials, Devices, and Systems, Rhodes, Greece, November 2014 (invited)

• M. Prezioso, F. Merrikh-Bayat, B. Hoskins, G. Adam, and D. Strukov, "A progress update on memristor-based pattern classifiers", 9th Annual International Mixed-Signals, Sensors, and Systems Test Workshop, Porto Alegre, Brazil, September 2014 (invited)

• D. Strukov, "Neuromorphic computing with memristive circuits", CIMTEC'14: Motecatini Terma, Italy, June 2014 (invited)

• D. Strukov, "Analog computing with memristive circuits", EMRS'14, Lille, France, May 2014 (invited)

• F. Alibart and D.B. Strukov, "Pattern classification and recognition with memristive circuits", Workshop on Memristor Science and Technology, DATE'14, Dresden, Germany, March 2014

• B. Hoskins and D. Strukov, "Reactive sputter deposition of titanium oxides for resistive switching”, Materials Research Outreach Program Symposium, Santa Barbara, CA, January-February 2014

2013

• Y. Kim, S.J. Kelly, A. Morozovska, E.K. Rahani, E. Strelcov, E. Eliseev, S. Jesse, M.D. Biegalski, N. Balke, N. Benedek, D. Strukov, J. Aarts, I. Hwang, S. Oh, J.S. Choi, T. Choi, B. H. Park, V.B. Shenoy, P. Maksymovych, and S. Kalinin, “Mechanical control of electroresistive switching”, Nano Letters, vol. 13 (9), pp. 4068-4074, 2013

• F. Alibart, E. Zamanidoost, and D.B. Strukov, "Pattern classification by memristive crossbar circuits with ex-situ and in-situ training", Nature Communications, vol. 4, art. 2072, 2013 (Supplementary information)

• A.T. Ramu and D.B. Strukov, "Thermal modeling of resistive switching devices", IEEE Transactions on Electron Devices, vol. 60 (6), pp. 1938-1943, 2013

• L. Gao, F. Alibart, and D.B. Strukov, "Programmable CMOS/memristor threshold logic”, IEEE Transactions on Nanotechnology, vol. 12 (2), pp. 115-119, 2013

• F. Alibart and D.B. Strukov, “Utilizing NDR effect to reduce switching threshold variations in memristive devices”, Applied Physics A, vol. 111, pp.199-202, 2013

• J.J. Yang, D.B. Strukov, and D.R. Stewart, “Memristive devices for computing”, Nature Nanotechnology, vol. 8, pp. 13-24, 2013 Supplementary information

• L. Gao*, F. Merrikh-Bayat*, F. Alibart, X. Guo, B.D. Hoskins, K.-T. Cheng, and D.B. Strukov, "Digital-to-analog and analog-to-digital conversion with metal oxide memristors for ultra-low power computing", Proc. NanoArch'13, New York, NY, July 2013, pp. 19-22 - best short paper award

• H. Saadeldeen, D. Franklin, G. Long, C. Hill, A. Browne, D. Strukov, T. Sherwood, and F. Chong, "Memristors for neural branch prediction: A case study in strict latency and write endurance challenges", Proc. Computing Frontiers'13, Ischia, Italy, May 2013, art. 26 - best paper award

• L. Gao, F. Alibart, and D.B. Strukov, "A high-resolution nonvolatile analog memory ionic devices", Proc. Non-Volatile Memories Workshop, San Diego, CA, March 2013

• J. Faghih-Nassiri, N. Maddy, L. Buckland, and D. Strukov, "Development system for memristor circuits", Proc. IEEE Nano’13, Beijing, China, August 2013

--- Talks, Theses, Technical Reports ---

• D. Strukov, A. Mishchenko, and R. Brayton, “Maximum throughput logic synthesis for stateful logic: A case study”, Technical Report, UC Santa Barbara, 2013.

• F. Merrikh-Bayat, B. Hoskins, G. Adam, M. Prezioso, L. Gao, and D.B. Strukov, “Characterization of switching behavior in Pt/TiO_2-x/Pt memristive devices”, Materials Research Society Fall Meeting, Boston, MA, December 2013

• L. Gao, B. Hoskins, L.A. Neely, V. Kochergin, and D.Strukov, “The effect of ion implantation on the resistive switching in Pt/TiO_2-x/Pt devices”, Electronic Materials Conference, South Bend, IN, June 2013

• E. Zamanidoost, F. Alibart, B. Hoskins, and D. Strukov, “Experimental demonstration of pattern classification with memristive crossbar circuits”, Materials Research Outreach Program Symposium, Santa Barbara, CA, January-February 2013

• Y. Kim, S.J. Kelly, A. Morozovska, E.K. Rahani, E. Strelcov, E. Eliseev, S. Jesse, M.D. Biegalski, N. Balke, N. Bedenek, D. Strukov, J. Aarts, I. Hwang, S. Oh, J.S. Choi, T. Choi, B.H. Park, V.B. Shenoy, P. Maksimovych, and S.V. Kalinin, "Mechanically driven electroresistive switching”, MRS Spring Meeting, San Francisco, CA, April 2013

• F. Alibart, E. Zamanidoost, and D.B. Strukov, "Pattern classification by memristive crossbar circuit with ex-situ and in-situ training", MRS Spring Meeting, San Francisco, CA, April 2013

2012

• D.B. Strukov and K.K. Likharev, “Reconfigurable nano-crossbar architectures”, Nanoelectronics and Information Technology, R. Waser, Ed., 3^rd ed., Wiley, pp. 435-454, 2012 (book chapter, review)

• F. Alibart, L. Gao, B. Hoskins, and D.B. Strukov, “High-precision tuning of state for memristive devices by adaptable variation-tolerant algorithm”, IOP Nanotechnology, vol. 23, art. 075201, 2012 - highlighted at www.nanotechweb.org

• D.B. Strukov and H. Kohlstedt, “Resistive switching phenomena in thin films: Materials, devices, and applications”, MRS Bulletin, vol. 37 (2), pp. 108-114, 2012 (review)

• D.B. Strukov, F. Alibart, and R.S. Williams, “Thermophoresis/diffusion as the plausible mechanism for unipolar resistive switching in metal-oxide-metal memristors”, Applied Physics A, vol. 107 (3), pp. 509 – 518, 2012 (invited) - most cited/downloaded paper over ten years, as of 2022

• Y. Kim, A.N. Morozovska, A. Kumar, S. Jesse, E.A. Eliseev, F. Alibart, D. Strukov, and S.V. Kalinin, “Ionically-mediated electromechanical hysteresis in transition metal oxides”, ACS Nano, vol. 6 (8), pp. 7026-7033, 2012

• A. Madhavan and D.B. Strukov, “Mapping of image and network processing tasks onto high-throughput CMOL FPGA circuits”, Proc. VLSI-SoC'12, Santa Cruz, CA, October 2012, pp. 1-6

• L. Gao, F. Alibart, and D.B. Strukov, “Analog-input analog-weight dot-product operation with Ag/a-Si/Pt memristive devices”, Proc. VLSI-SoC'12, Santa Cruz, CA, October 2012, pp. 1-6

• K.-T. Cheng and D.B. Strukov, “3D CMOS-memristor hybrid circuits: Devices, integration, architecture, and applications”, Proc. ISPD’12, Napa, CA, March 2012, pp. 33-40 (review, invited)

--- Talks, Theses, Technical Reports ---

• D.B. Strukov, “3D hybrid CMOS/memristor circuits: Basic principle and prospective applications”, Conference on Optoelectronics and Microelectronics Materials and Devices, Melbourne, Australia, December 2012 (invited)

• D.B. Strukov, “Computing with memristors”, Symposium on “The Future of Computing”, Delft, Netherland, November 2012 (invited)

• F. Alibart, E. Zamanidoost, and D.B. Strukov, “Pattern classification with memristive crossbar circuits”, Memristors for Computing, Clythia, Frejus, France, November 2012 (invited)

• B. Hoskins, F. Alibart, and D. Strukov, “Modeling of switching dynamics for TiO_2-x memristive devices”, Nature Conference on Frontiers in Electronic Materials: Correlation Effects and Memristive Phenomena, Aachen, Germany, June 2012

• A. Madhavan, G. Adam, L. Gao, and D. B. Strukov, “Analog and digital computing with memristive devices”, Nature Conference on Frontiers in Electronic Materials: Correlation Effects and Memristive Phenomena, Aachen, Germany, June 2012

• G. Adam, F. Alibart, L. Gao, B. Hoskins, and D. Strukov, “Fighting variations in Pt/TiO_2-x/Pt and Ag/a-Si/Pt memristive devices”, Nature Conference on Frontiers in Electronic Materials: Correlation Effects and Memristive Phenomena, Aachen, Germany, June 2012

• F. Alibart, L. Gao, B. Hoskins, and D. Strukov, “High-precision tuning of resistive state in titanium dioxide for analog electronics”, MRS Spring Meeting, San Francisco, CA, April 2012

• Y. Kim, A. Kumar, A.N. Morozovska, S. Jesse, F. Alibart, D. Strukov, and S.V. Kalinin, “Electromechanical hysteresis loop in transition metal oxides: Electrochemistry or ferroelectricity?”, abstract in: MRS Spring Meeting, San Francisco, CA, April 2012

• A.S. Aleksandrov, A.M. Bratkovsky, B. Bridle, S.E. Savel’ev, D.B. Strukov, and R.S. Williams, “Current-controlled negative differential resistance due to Joule heating in TiO₂”, abstract in: APS March Meeting, Boston, MA, March 2012

• G. Adam, F. Alibart, L. Gao, B. Hoskins, and D.B. Strukov, "Resistive switching in Pt/TiO_2-x/Pt and Ag/a-Si/Pt thin-film devices", Materials Research Outreach Program Symposium, Santa Barbara, CA, January-February 2012

2011

• A.S. Aleksandrov, A.M. Bratkovsky, B. Bridle, S.E. Savel’ev, D.B. Strukov, and R.S. Williams, "Current-controlled negative differential resistance due to Joule heating in TiO₂", Applied Physics Letters, vol. 99, art. 202104, 2011

• D.B. Strukov, "Smart connections", Nature, vol. 476, pp. 403-405, 2011 (review, invited)

• D.B. Strukov and R.S. Williams, “An ionic bottle for high-speed, long-retention memristive device”, Applied Physics A, vol. 102 (4), pp. 1033-1036, 2011 (invited, special issue on resistive switching)

• D.B. Strukov and R.S. Williams, “Intrinsic constraints on thermally-assisted memristive switching”, Applied Physics A, vol. 102 (4), pp. 851-855, 2011 (invited, special issue on resistive switching)

• J.P. Strachan, D.B. Strukov, J. Borghetti, J.J. Yang, G. Medeiros-Ribeiro, and R.S. Williams, “The switching location of a bipolar memristor: Chemical, thermal, and structural mapping”, IOP Nanotechnology, vol. 22 (25), art. 254015, 2011 (invited, special issue on resistive switching) - highlighted at www.nanowerk.com

• D.B. Strukov and K.K. Likharev, “All-NDR crossbar logic”, Proc. IEEE Nano’11, pp. 865 – 868, Portland, OR, August 2011

• F. Alibart, T. Sherwood, and D.B. Strukov, “Hybrid CMOS/nanodevice circuits for high throughput pattern matching applications”, Proc. AHS’11, pp. 279-286, San Diego, CA, June 2011

• D.B. Strukov, “Hybrid CMOS/nanodevice circuits with tightly integrated memory and logic functionality”, Proc. Nanotech‘11, vol. 2, pp. 9-12, Boston, MA, June 2011

--- Talks, Theses, Technical Reports ---

• G. Adam, "3D implication logic: Preliminary results", International Conference on Field-Programmable Technology (FPT'11), New Delhi, India, December 2011, pp. 1-3 (Ph.D. forum)

• F. Alibart, G. Adam, T. Lo, and D. Strukov, “Memristive devices and circuits”, Materials Research Outreach Program Symposium, Santa Barbara, CA, January-February 2011

• D. Strukov, "Analog and digital hybrid CMOS/memristor circuits as a future computing paradigm", International Symposium on Nanoscale Phenomena in Polar Materials, Vancouver, Canada, July 2011 (invited)

2010

• D.B. Strukov, D.R. Stewart, J. Borghetti, X. Li, M. Pickett, G. Medeiros-Ribiero, W. Robinett, G. Snider, J.P. Strachan, W. Wu, Q. Xia, J.J. Yang, and R.S. Williams, “Hybrid CMOS/memristor circuits”, Proc. ISCAS’10, Paris, France, May-June 2010, pp. 1967-1970 (review, invited)

• D. Strukov and A. Mishchenko, “Monolithically stackable hybrid FPGA”, Proc. DATE’10, pp. 661-667, Dresden, Germany, March 2010 (invited)

--- Talks, Theses, Technical Reports ---

• D. Strukov, “Hybrid CMOS/memristor circuits as future computing paradigm”, International Conference on Nanotechnology, Seoul, Korea, August 2010 (invited)

• D. Strukov, “Coupled ionic and electronic transport model of thin-film semiconductor nanodevices", International Conference on Theoretical Physics, Dubna, Russia, July 2010

Hewlett Packard Labs Publications

2009

• D.B. Strukov and R.S. Williams, “Exponential ionic drift: Fast switching and low volatility of thin film memristors”, Applied Physics A, vol. 94 (3), pp. 515-519, 2009

• D.B. Strukov and R.S. Williams, “Topological framework for three-dimensional circuits with multilayer crossbar arrays”, Proceeding of the National Academy of Sciences, vol. 106 (48), pp. 20155-20158, 2009

• J. Borghetti, D.B. Strukov, M. Pickett, J. Yang, D. Stewart, and R.S. Williams, “Electrical transport and thermometry of electroformed titanium dioxide memristive switches”, Journal of Applied Physics, vol. 106, art. 124504, 2009

• M. Pickett, D.B. Strukov, J. Borghetti, J. Yang, G. Snider, D. Stewart, and R.S. Williams, “Switching dynamics in a titanium dioxide memristive device”, Journal of Applied Physics, vol. 106, art. 074508, 2009

• Q. Xia, W. Robinett, M. Cumbie, N. Banerjee, T. Cardinali, J. Yang, W. Wu, X. Li, W. Tong, G. Snider, D.B. Strukov, G. Medeiros-Ribeiro, and R.S. Williams, “Memristor-CMOS hybrid integrated circuits for configurable logic”, Nano Letters, vol. 9 (10), pp. 3640-3645, 2009

• D.B. Strukov, J.L. Borghetti, and R.S. Williams, “Coupled ionic and electronic transport model of thin-film semiconductor memristive behavior”, Small, vol. 5 (9), pp. 1058-1063, 2009

• J. Yang, D.B. Strukov, J. Borghetti, D. Ohlberg, J. Nickel, G. Medeiros-Ribeiro, P. Kuekes, and J. Graham, “Ultra-high density RAM using memristive devices”, Proc. HP TechCon’09, Palo Alto, CA, May 2009

--- Talks, Theses, Technical Reports ---

• D.B. Strukov, J. Borghetti, M. Pickett, G. Ribeiro-Medeiros, J.P. Strachan, J. Yang, and R.S. Williams, “Thermally- assisted drift-diffusion model of resistance switching in thin film metal oxide nanodevices”, MRS Spring Meeting, San Francisco, CA, April 2009

• M. D. Pickett, J. Borghetti, D. Strukov, J. Yang, J. P. Strachan, G. Ribeiro-Medeiros, D. Stewart, and R. S. Williams, “A predictive parametric model for quantifying the dynamical behavior of off switching in TiO₂ resistance change devices”, MRS Spring Meeting, San Francisco, CA, April 2009

• J. Borghetti, D. Strukov, M. Pickett, J. Yang, J. P. Strachan, X. Li, G. Medeiros-Ribeiro, and R.S. Williams, “Electrical transport and self-heating in titanium oxide memristive switches”, MRS Spring Meeting, San Francisco, CA, April 2009

• J.P. Strachan, J. J. Yang, R. Muenstermann, J. Borghetti, M.D. Pickett, D. Strukov, G. Medeiros-Ribeiro, and R.S. Williams, “Spatially-resolved, x-ray based spectroscopy of metal/oxide/metal switches”, MRS Spring Meeting, San Francisco, CA, April 2009

• J. J. Yang, J. Borghetti, D. Murphy, J. P. Strachan, M. D. Pickett, D. Strukov, G. M. Ribeiro, D. R. Stewart, and R.S. Williams, “Reconfigurable nanodevice family combining memristive switching and rectification”, MRS Spring Meeting, San Francisco, CA, April 2009

2008

• D.B. Strukov, “Hybrid integrated circuits for digital electronics”, Nanoelectronics and Photonics, A. Korkin and R. Federico, Eds., Berlin: Springer, pp. 15-57, 2008 (book chapter, review)

• D.B. Strukov, G. Snider, D.R. Stewart, and R.S. Williams, “The missing memristor found”, Nature, vol. 453, pp. 80-83, 2008

• D.B. Strukov, G. Snider, D.R. Stewart, and R.S. Williams, “Memristor: The fourth fundamental passive circuit element”, Proc. HP TechCon’08, Boston, MA, May 2008

• J. Yang, D. Ohlberg, J. Borghetti, D.B. Strukov, W. Tong, D. Stewart, and R.S. Williams, “The physics of metal oxide nano-switches”, Proc. HP TechCon’08, Boston, MA, May 2008

--- Talks, Theses, Technical Reports ---

• D.B. Strukov, J.L. Borghetti, G. Snider, D.R. Stewart, and R.S. Williams, “A memristive switching model of two-terminal programmable nanodevices”, APS March Meeting, New Orleans, LA, March 2008

• D.B. Strukov, J.L. Borghetti, and R.S. Williams, “Transport model of thin film semiconductor memristive devices”, Memristor and Memristive Systems Symposium, Berkeley, CA, November 2008

Stony Brook University Publications

2007

• D.B. Strukov and K.K. Likharev, “Reconfigurable hybrid CMOS/nanodevice circuits for image processing”, IEEE Transactions on Nanotechnology, vol. 6, pp. 696-710, 2007

• D.B. Strukov and K.K. Likharev, “Defect-tolerant architectures for nanoelectronic crossbar memories”, Journal of Nanoscience and Nanotechnology, vol. 7, pp. 151-167, 2007

• K.K. Likharev and D.B. Strukov, “Prospects for the development of digital CMOL circuits”, Proc. NanoArch’07, San Jose, CA, Oct. 2007, pp.109-116

• K.K. Likharev and D.B. Strukov, “CMOL technology development roadmap”, Proc. NSC’07, San Diego, CA, Jun. 2007, pp.73-80

• D.B. Strukov and K.K. Likharev, “Image processing with CMOL circuits”, Proc. NSC’07, San Diego, CA, Jun. 2007, pp. 9-16

--- Talks, Theses, Technical Reports ---

• D.B. Strukov, “CMOL FPGA CAD 1.0”, Stony Brook University, 2007 (technical report)

2006

• D.B. Strukov, “The area and latency tradeoffs of binary bit-parallel BCH decoders for prospective nanoelectronics memories”, Proc. ACSSC’06, Pacific Grove, CA, October 2006, pp. 1183-1187

• D.B. Strukov and K.K. Likharev, “A defect-tolerant architecture for nanoelectronics resistive memories”, Proc. NVMT’06, San Mateo, CA, November 2006, pp. 58-63

• D.B. Strukov and K.K. Likharev, “Defect-tolerant CMOL memories”, Proc. NanoArch’06, Boston, MA, June 2006, pp. 1-8

• D.B. Strukov and K.K. Likharev, “CMOL FPGA circuits”, Proc. CDES’06, Las Vegas, NE, June 2006, pp. 213-219

• D.B. Strukov and K.K. Likharev, “A reconfigurable architecture for hybrid CMOS/nanodevice circuits”, Proc. FPGA’06, Monterey, CA, February 2006, pp. 131-140

--- Talks, Theses, Technical Reports ---

• D.B. Strukov, “Digital architectures for hybrid CMOS/nanodevice circuits”, Ph.D. thesis, Stony Brook University, August 2006

2005

• K.K. Likharev and D.B. Strukov, “CMOL: Devices, circuits, and architectures”, Introducing Molecular Electronics, G. Cuniberti, G. Fagas, and K. Richter, Eds. Berlin: Springer, pp. 447-478, 2005 (book chapter, review)

• D.B. Strukov and K.K. Likharev, “CMOL FPGA: A cell-based, reconfigurable architecture for hybrid digital circuits using two-terminal nanodevices”, IOP Nanotechnology, vol. 16, pp. 888-900, 2005 - highlighted as top 25 paper in 25 years across all areas published in IOP Nanotechnology journal

• D.B. Strukov and K.K. Likharev, “Prospects for terabit-scale nanoelectronic memories”, IOP Nanotechnology, vol. 16, pp. 137-148, 2005

• J.H. Lee, X. Ma, D.B. Strukov, and K.K. Likharev, “CMOL”, Proc. NanoArch’05, Palm Springs, CA, May 2005, pp. 3.9-3.16 (review)

• X. Ma, D.B. Strukov, J.H. Lee, and K.K. Likharev, “Afterlife for silicon: CMOL circuit architectures”, Proc. IEEE-Nano’05, Nagoya, Japan, July 2005, pp. 175-178 (review, invited)

--- Talks, Theses, Technical Reports ---

• J. H. Lee, X. Ma, D. B. Strukov, Ö. Türel, and K. K. Likharev, “Possible applications of CMOL circuits”, Molecular-Scale Electronics VII Conference, San Diego, CA, January 2005

- 2004

• M. Dorojevets, D. Strukov, A. Silver, A. Kleinsasser, F. Bedard, P. Bunyk, Q. Herr, G. Kerber, and L. Abelson, “On the road towards superconductor computers: Twenty years later”, Future Trends in Nanoelectronics: The Nano, The Giga, and The Ultra, S. Luryi et al., Eds. Wiley; IEEE Press, 2004 (book chapter, review)

• M. Dorojevets and D. Strukov, “Memory latency reduction with fine-grain migrating threads in NUMA shared-memory multiprocessors”, Proc. PDCS’02, Cambridge, MA, November 2002, pp. 762-776

--- Talks, Theses, Technical Reports ---

• L. Abelson, P. Bunyk, M. Dorojevets, Q. Herr, G. Kerber, A. Kleinsasser, A. Silver, and D. Strukov, “Superconductor electronics technology for high-end computing”, Int. Superconducting Electronics Conference, 2003, Sydney, Australia, July 2003, pp. Owe2 1-3 (review)