2024
Ariel Norambuena, Marios Mattheakis, Francisco J. Gonzalez, and Raul Coto. “Physics-informed neural networks for quantum control.” Phys. Rev. Lett., 132, 010801 (2024)
Circe Hsu, Marios Mattheakis, Gabriel R Schleder, and Daniel T. Larson. 2024. “Equation-driven Neural Networks for Periodic Quantum Systems.” In In NeurIPS Workshop on Machine Learning and Physical Sciences. Publisher's VersionAbstract neurips_ml4ps_2024_165.pdf
2023
Ziyan Zhu, Marios Mattheakis, Weiwei Pan, and Efthimios Kaxiras. 10/2023. “HubbardNet: Efficient Predictions of the Bose-Hubbard Model Spectrum with Deep Neural Networks.” Phys. Rev. Research , 5, Pp. 043084. Publisher's VersionAbstract 2212.13678_hubbardnet.pdf
Trevor David Rhone, Romakanta Bhattarai, Haralambos Gavras, Bethany Lusch, Misha Salim, Marios Mattheakis, Daniel T. Larson, Yoshiharu Krockenberger, and Efthimios Kaxiras. 4/2023. “Artificial intelligence guided studies of van der Waals magnets.” Advanced Theory and Simulations, Pp. 2300019. Publisher's VersionAbstract
Marios Mattheakis, Hayden Joy, and Pavlos Protopapas. 2/2023. “Unsupervised Reservoir Computing for Solving Ordinary Differential Equations.” International Journal on Artificial Intelligence Tools, 32, 1. Publisher's VersionAbstract 2108.11417.pdf
2022
Marios Mattheakis, David Sondak, Akshunna S. Dogra, and Pavlos Protopapas. 6/30/2022. “Hamiltonian neural networks for solving equations of motion.” Phys. Rev. E, 105, Pp. 065305.Publisher's VersionAbstract hamiltoniannetworkssolvingode_pre.pdf
Shaan Desai, Marios Mattheakis, Hayden Joy, Pavlos Protopapas, and Stephen Roberts. 6/10/2022. “One-Shot Transfer Learning of Physics-Informed Neural Networks.” In ICML, workshop AI4Science. Publisher's VersionAbstract 2110.11286.pdf
Mattia Angelia, Georgios Neofotistos, Marios Mattheakis, and Efthimios Kaxiras. 1/2022. “Modeling the effect of the vaccination campaign on the Covid-19 pandemic.” Chaos, Solitons and Fractals, 154, Pp. 111621. Publisher's VersionAbstract 2108.13908.pdf
Anwesh Bhattacharya, Marios Mattheakis, and Pavlos Protopapas. 2022. “Encoding Involutory Invariance in Neural Networks.” In IJCNN at IEEE World Congress on Computational Intelligence.Publisher's VersionAbstract 2106.12891.pdf
Marios Mattheakis, Gabriel R. Schleder, Daniel T. Larson, and Efthimios Kaxiras. 2022. “First principles physics-informed neural network for quantum wavefunctions and eigenvalue surfaces.” In NeurIPS Workshop on Machine Learning and Physical Sciences. https://arxiv.org/pdf/2211.04607.pdf. Publisher's VersionAbstract 2211.04607.pdf
Ziyan Zhu, Marios Mattheakis, Weiwei Pan, and Efthimios Kaxiras. 2022. “HubbardNet: Efficient Predictions of the Bose-Hubbard Model Spectrum with Deep Neural Networks.” In NeurIPS Workshop on Machine Learning and Physical Sciences. Publisher's VersionAbstract
Henry Jin, Marios Mattheakis, and Pavlos Protopapas. 2022. “Physics-Informed Neural Networks for Quantum Eigenvalue Problems.” In IJCNN at IEEE World Congress on Computational Intelligence.Publisher's VersionAbstract 2022_pinn_quantum.pdf
Hayden Joy, Marios Mattheakis, and Pavlos Protopapas. 2022. “RcTorch: a PyTorch Reservoir Computing Package with Automated Hyper-Parameter Optimization.” arXiv paper. Publisher's VersionAbstract 2207.05870.pdf
Raphael Pellegrin, Blake Bullwinkel, Marios Mattheakis, and Pavlos Protopapas. 2022. “Transfer Learning with Physics-Informed Neural Networks for Efficient Simulation of Branched Flows.” In NeurIPS Workshop on Machine Learning and Physical Sciences. Publisher's VersionAbstract
2021
Shaan Desai, Marios Mattheakis, David Sondak, Pavlos Protopapas, and Stephen Roberts. 9/2021. “Port-Hamiltonian Neural Networks for Learning Explicit Time-Dependent Dynamical Systems.” Phys Rev. E, 104, Pp. 034312. Publisher's VersionAbstract 2107.08024.pdf
Shaan Desai, Marios Mattheakis, and Stephen Roberts. 9/2021. “Variational Integrator Graph Networks for Learning Energy Conserving Dynamical Systems.” Phys. Rev. E, 104, Pp. 035310.Publisher's VersionAbstract 2004.13688.pdf
Tiago A. E. Ferreira, Marios Mattheakis, and Pavlos Protopapas. 2021. “A New Artificial Neuron Proposal with Trainable Simultaneous Local and Global Activation Function”.Abstract2101.06100.pdf
2020
Alessandro Paticchio, Tommaso Scarlatti, Marios Mattheakis, Pavlos Protopapas, and Marco Brambilla. 12/2020. “Semi-supervised Neural Networks solve an inverse problem for modeling Covid-19 spread.” In 2020 NeurIPS Workshop on Machine Learning and the Physical Sciences. NeurIPS.Publisher's VersionAbstract 2020_covid_2010.05074.pdf
Henry Jin, Marios Mattheakis, and Pavlos Protopapas. 12/2020. “Unsupervised Neural Networks for Quantum Eigenvalue Problems.” In 2020 NeurIPS Workshop on Machine Learning and the Physical Sciences. NeurIPS. Publisher's VersionAbstract 2020_eigenvalues_2010.05075.pdf
Marios Mattheakis. 8/26/2020. “Riding Waves in Neuromorphic Computing.” APS Physics 12 (132), Pp. 1-3. Publisher's VersionAbstract physics.13.132.pdf
Yue Luo, Rebecca Engelke, Marios Mattheakis, Michele Tamagnone, Stephen Carr, Kenji Watanabe, Takashi Taniguchi, Efthimios Kaxiras, Philip Kim, and William L. Wilson. 8/2020. “In-situ nanoscale imaging of moiré superlattices in twisted van der Waals heterostructures.” Nature Communication, 11, 4209, Pp. 1-7. Publisher's VersionAbstract 2020_tbg_phonons_natcomm.pdf
G. A. Tritsaris, S. Carr, Z. Zhu, Y. Xie, S. Torrisi, J. Tang, M.Mattheakis, D. Larson, and E. Kaxiras. 6/2020. “Electronic structure calculations of twisted multi-layer graphene superlattices.” 2D Materials, 7, Pp. 035028. Publisher's VersionAbstract 2001.11633.pdf
Georgios A. Tritsaris, Yiqi Xie, Alexander M. Rush, Stephen Carr, Marios Mattheakis, and Efthimios Kaxiras. 6/2020. “LAN -- A materials notation for 2D layered assemblies.” J. Chem. Inf. Model. .Publisher's VersionAbstract 1910.03413.pdf
Feiyu Chen, David Sondak, Pavlos Protopapas, Marios Mattheakis, Shuheng Liu, Devansh Agarwal, and Marco Di Giovanni. 2/2020. “NeuroDiffEq: A Python package for solving differential equations with neural networks.” Journal of Open Source Software, 5, 46. Publisher's Version2020_joss_neurodiffeq.pdf
G. Barmparis, G. Neofotistos, M.Mattheakis, J. Hitzanidi, G. P. Tsironis, and E. Kaxiras. 2/2020. “Robust prediction of complex spatiotemporal states through machine learning with sparse sensing.” Physics Letters A, 384, Pp. 126300. Publisher's VersionAbstract2020_pla_robustmlpredictions.pdf
2019
M. Maier, M.Mattheakis, E. Kaxiras, M. Luskin, and D. Margetis. 10/2019. “Homogenization of plasmonic crystals: Seeking the epsilon-near-zero behavior.” Proceedings of the Royal Society A, 475, 2230. Publisher's VersionAbstract 2018_homogenization_1809.08276.pdf
Marios Mattheakis, Matthias Maier, Wei Xi Boo, and Efthimios Kaxiras. 9/2019. “Graphene epsilon-near-zero plasmonic crystals.” In NANOCOM '19 Proceedings of the Sixth Annual ACM International Conference on Nanoscale Computing and Communication. Dublin, Ireland. Publisher's VersionAbstract 1906.00018.pdf
M.Mattheakis, P. Protopapas, D. Sondak, M. Di Giovanni, and E. Kaxiras. 4/2019. “Physical Symmetries Embedded in Neural Networks.” arXiv paper, 1904.08991. Publisher's VersionAbstract 2019_physicssymmetries_nn_arxiv.pdf
G. N. Neofotistos, M.Mattheakis, G. Barmparis, J. Hitzanidi, G. P. Tsironis, and E. Kaxiras. 3/1/2019. “Machine learning with observers predicts complex spatiotemporal behavior.” Front. Phys. - Quantum Computing , 7, 24, Pp. 1-9. Publisher's VersionAbstract fphy-07-00024.pdf
2018
Najm Hassan, Marios Mattheakis, and Ming Ding. 11/2018. “Sensorless Node Architecture for Events Detection in Self-Powered Nanosensor Networks.” Nano Communication Networks, 19, Pp. 1-9. Publisher's VersionAbstract 2018_nanocommnet.pdf
Marios Mattheakis, G. P. Tsironis, and Efthimios Kaxiras. 6/2018. “Emergence and dynamical properties of stochastic branching in the electronic flows of disordered Dirac solids.” EPL, 122, Pp. 27003. Publisher's VersionAbstract view.pdf
Sharmila N. Shirodkar, Marios Mattheakis, Paul Cazeaux, Prineha Narang, Marin Soljačić, and Efthimios Kaxiras. 5/2018. “Quantum plasmons with optical-range frequencies in doped few-layer graphene.” Phys. Rev. B, 97, Pp. 195435. Publisher's VersionAbstractvisiblegrapheneplasmons_1703.01558.pdf
Matthias Maier, Marios Mattheakis, Efthimios Kaxiras, Mitchell Luskin, and Dionisios Margetis. 1/2018. “Universal behavior of dispersive Dirac cone in gradient-index plasmonic metamaterials.” Phys. Rev. B, 97, 3, Pp. 035307. Publisher's VersionAbstract universalenz2018.pdf
2017
M.Mattheakis, G. P. Tsironis, and E. Kaxiras. 2017. “Graphene and Active Metamaterials: Theoretical Methods and Physical Properties.” In Nanoplasmonics - Fundamentals and Applications, edited by Gregory Barbillon. InTech. Publisher's VersionAbstractmattheakisNanoplasmonicsChapter.pdf
O. V. Shramkova, Marios Mattheakis, and G. P. Tsironis. 2017. “Amplification of surface plasmons in active nonlinear hyperbolic systems.” In 47th European Microwave Conference (EuMC), Pp. 488-491. Nuremberg, Germany. Publisher's VersionAbstract activesp_ieeeproceedings_2017.pdf
Constantinos A. Valagiannopoulos, Marios Mattheakis, Sharmila N. Shirodkar, and Efthimios Kaxiras. 2017. “Manipulating polarized light with a planar slab of Black Phosphorus.” Journal of Physics Communications, 1, Pp. 045003. Publisher's VersionAbstract bp_jpc2017.pdf
2016
M.Mattheakis, C. A. Valagiannopoulos, and E. Kaxiras. 11/10/2016. “Epsilon-Near-Zero behavior from Plasmonic Dirac Point: theory and realization using two-dimensional materials.” Physical Review B, 94, 20, Pp. 201404(R). Publisher's VersionAbstract arXiv_PDP_ENZ.pdf
M Mattheakis, I. J. Pitsios, G. P. Tsironis, and S. Tzortzakis. 2016. “Extreme events in complex linear and nonlinear photonic media.” Chaos, Solitons & Fractals, 84, Pp. 73-80. Publisher's VersionAbstract arXiv_ExtremeEvents.pdf
M.Mattheakis, T. Oikonomou, Μ Molina, and G. P. Tsironis. 2016. “Phase transition in PT symmetric active plasmonic systems.” IEEE Journal of Selected Topics in Quantum Electronics, 22, 5, Pp. 1-7.Publisher's VersionAbstract arXiv_PTplasmons.pdf
2015
M Mattheakis and G. P. Tsironis. 2015. “Extreme waves and branching flows in optical media.” In Quodons in Mica: Nonlinear localized travelling excitations in crystals , 221: Pp. 425-454. Springer. Publisher's VersionAbstractarxiv_ChapterBranchedFlowExtremeEvents.pdf
2014
Marios Mattheakis. 2014. “Electromagnetic wave propagation in gradient index metamaterials, plasmonic systems and optical fiber networks.” University of Crete, Department of Physics.Publisher's VersionAbstract pdf
C. Athanasopoulos, M Mattheakis, and G. P. Tsironis. 2014. “Enhanced surface plasmon polariton propagation induced by active dielectrics.” In Expert from the Proceedings of the 2014 COMSOL conference in Cambridge. Cambridge, UK: COMSOL. Publisher's VersionAbstractmattheakis_activeSPPsCOMSOL.pdf
F Perakis, M Mattheakis, and G. P. Tsironis. 2014. “Small-world networks of optical fiber lattices.” Journal of Optics, 16, Pp. 102003. Publisher's VersionAbstract arXiv_SmallWorldNetworks.pdf
2012
M Mattheakis, G. P. Tsironis, and VI Kovanis. 2012. “Luneburg lens waveguide networks.” Journal of Optics, 14, Pp. 114006. Publisher's VersionAbstract arXiv_LLwaveguides.pdf
