[29] Ali, M., Giri, S., Yang, Q., Liu, S., Digital Twin-Enabled Real-Time Control in Robotic Additive Manufacturing via Soft Actor-Critic Reinforcement Learning. arXiv preprint arXiv:2501.18016. (2025). Journal of Intelligent Manufacturing, In Revision. (IF=7.4)
[28] Liu, S., Thampy, V., Quan, P., Gorgannejad, S., Wang, J., Strantza, M., & Tassone, C. J. Real-time Tracking and Analysis of Gas Bubble Dynamics in Laser Powder Bed Fusion Using In-situ X-ray Imaging and Machine Learning. Additive Manufacturing (2025): 104921. (IF=11.1) Article Link
[27] Ali, M., Gassen, B., Liu S. (2025). Defect Mitigation for Robot Arm-based Additive Manufacturing Utilizing Intelligent Control and Iot. Proceedings of the ASME 2025 International Mechanical Engineering Congress and Exposition, Accepted/In production. Paper #IMECE2025-16594.
[26] Mianjy, A. P., Giri, S., Vira, D., Liu, S., Effects of Part Size on Densification and Microstructure of 17-4 PH Stainless Steel Printed by Binder Jetting Additive Manufacturing. Manufacturing Letters 44S (2025) pp.1088-1095. Article Link
[25] Li, X., Li, H., Shen, S., Chen, L., Liu, S., Dai, L., & Xiong, W. (2025). In-situ coaxial temperature monitoring of LPBF melt pool by a compact dual-wavelength thermometry system (CDWTS). Optics and Lasers in Engineering, 194, 109194. Article Link
[24] Taylor, Z., Reddy, T., ... Liu, S., Pal, D., Moghimi, L., Tassone, C., Dresselhaus-Marais, L., High-resolution in situ characterization of laser powder bed fusion via transmission X-ray microscopy at X-ray free-electron lasers. Journal of Synchrotron Radiation, (2025). 32. Article Link
[23] Gorgannejad, S., Martin, A.A., Chen, B., Nicolino, J.W., Strantza, M., Guss, G.M., Forien, J.B., Thampy, V., Liu, S., Quan, P. and Tassone, C.J., In situ X-ray Imaging to Understand Subsurface Behavior During Continuous Wave Laser Drilling. Applied Physics Letters 125.6 (2024). Article Link
[22] Sun, Y., Gorgannejad, S., Martin, A., Nicolino, J., Strantza, M., Forien, J.B., Thampy, V., Liu, S., Quan, P., Tassone, C.J. and Matthews, M.J., Direct Mechanistic Connection between Acoustic Signals and Melt Pool Morphology during Laser Powder Bed Fusion. Applied Physics Letters 125.3 (2024). Article Link
[21] Liu, R., Liu, S., Zhang, X., Unsupervised Learning of Part Similarity for Goal-Guided Accelerated Experiment Design in Metal Additive Manufacturing, Invited special issues: Artificial intelligence in manufacturing processes and systems. Advanced Manufacturing 2024(2):0006. Article Link
[20] Gorgannejad, S., Martin, A.A., Nicolino, J.W., Strantza, M., Guss, G.M., Khairallah, S., Forien, J.B., Thampy, V., Liu, S., Quan, P., Tassone, C.J., Calta, N.P. (2023) Localized Keyhole Pore Prediction during Laser Powder Bed Fusion via Multimodal Process Monitoring and X-ray Radiography, Additive Manufacturing (2023): 103810. (IF=11.1) Article Link
[19] Gorgannejad, S., Martin, A. A., Wang, J., Forien, J. B., Strantza, M., Quan, P., Liu, S., Thampy, V., Calta, N. P. (2023, May). Understanding Subsurface Behavior during Metal Laser Drilling Process via in-situ Synchrotron X-ray Imaging. In CLEO: Applications and Technology (pp. AM4R-2). Optica Publishing Group. Article Link
[18] Liu, S., Amin-Ahmadi, B., Liu, R., Zheng, Q., Zhang, X. (2023). Automated phase segmentation and quantification of high-resolution TEM image for alloy design. Materials Characterization, 199, 112779. (Top journal in ENGINEERING, CHARACTERIZATION & TESTING, IF = 5.5) Article Link
[17] Jamnikar, N., Liu, S., Brice, C., Zhang, X. (2023). Comprehensive molten pool condition-process relations modeling using CNN for wire-feed laser additive manufacturing. Journal of Manufacturing Processes, 98, 42-53. (IF=6.8) Article link
[16] Liu, S., Brice, C., Zhang, X. (2022). Hierarchical bead materials multi-property design for wire-feed laser additive manufacturing. Journal of Manufacturing Processes, 80, 546-557. (IF=6.8) Article Link
[15] Jamnikar, N. D., Liu, S., (co-first author) Brice, C., Zhang, X. (2022). In situ microstructure property prediction by modeling molten pool-quality relations for wire-feed laser additive manufacturing. Journal of Manufacturing Processes, 79, 803-814. (IF=6.8) Article Link
[14] Jamnikar, N. D., Liu, S., Brice, C., Zhang, X. (2022). In-process comprehensive prediction of bead geometry for laser wire-feed DED system using molten pool sensing data and multi-modality CNN. The International Journal of Advanced Manufacturing Technology, 121(1-2), 903-917. (IF=3.5) Article Link
[13] Liu, S., Brice, C., Zhang, X. (2022). Interrelated process-geometry-microstructure relationships for wire-feed laser additive manufacturing. Materials Today Communications, 31, 103794. (IF=4.5) Article Link
[12] Liu, S., Kappes, B. B., Amin-ahmadi, B., Benafan, O., Zhang, X., Stebner, A. P. (2021). Physics-informed machine learning for composition–process–property design: Shape memory alloy demonstration. Applied Materials Today, 22, 100898. (2021, IF=10.041) Article Link
[11] Jamnikar, N., Liu, S., Brice, C., & Zhang, X. (2021). Machine learning based in situ quality estimation by molten pool condition-quality relations modeling using experimental data. arXiv preprint arXiv:2103.12066. Article Link
[10] Liu, S., Stebner, A. P., Kappes, B. B., Zhang, X. (2020). Machine learning for knowledge transfer across multiple metals additive manufacturing printers. Additive Manufacturing, 39, 101877. (IF=11.1) Article Link
[9] Liu, R., Liu, S., Zhang, X. (2020). A physics-informed machine learning model for porosity analysis in laser powder bed fusion additive manufacturing. The International Journal of Advanced Manufacturing Technology, 113(7-8), 1943-1958. (IF=3.563) Article Link
[8] Cui, F., Li, H., Shen, S., Liu, S., Huang, Y., Chen, L., & Wu, S. (2018). Numerical Study of Particle Rebound in the Head–Disk Interface. IEEE Transactions on Magnetics, 54(11), 1-5. Article Link
[7] Dai, X., Li, H., Lei, X., Shen, S., Wu, S., Liu, S., & Du, H. (2018). Modeling of formation and breaking of lubricant bridge in the head–disk interface by molecular dynamic simulation. Molecular Simulation, 44(2), 94-99. Article Link
[6] Liu, S., Li, H., Shen, S., Dai, X., Wu, S., & Du, H. (2017). Study of adhered particle’s secondary migration on the slider air bearing surface. Microsystem Technologies, 23, 4871-4877. Article Link
[5] Cui, F., Li, H., Shen, S., Liu, S., & Wu, S. (2016). Simulation of air flow and particle trajectories in the head–disk interface. IEEE Transactions on Magnetics, 52(12), 1-5. Article Link
[4] Liu, S., Shen, S. N., Hui, L., & Cui, F. H. (2016, June). Analysis of the Adhered Particle Secondary Migration on the Slider Air Bearing Surface. In Information Storage and Processing Systems (Vol. 49880, p. V001T01A020). American Society of Mechanical Engineers. Article Link
[3] Liu, S., Li, H., Shen, S., & Wu, S. (2016). Simulation of particle rebounding from the slider air bearing surface. Microsystem Technologies, 22, 1475-1481. Article Link
[2] Zhang, G., Zhu, Y., Li, H., Shen, S., Yang, Y., Liu, S., ... & Wu, S. (2016). Simulations of particle trajectories in hard disk drives considering the trapping criterion. IEEE Transactions on Magnetics, 52(8), 1-6. Article Link
[1] Liu, S., Li, H., Shen, S., & Wu, S. (2015). Simulation of particle trajectory in the head–disk interface. IEEE Transactions on Magnetics, 51(11), 1-4. Article Link
[24] “Simultaneous Time Resolved SAXS and WAXS Characterization for Laser Additive Manufacturing via X-ray Pump Probe at LCLS X-ray Free Electron Lasers.” 36th Annual International Solid Freeform Fabrication Symposium (SFF Symp 2025), Austin, Texas.
[23] “Digital Twin-Enabled Intelligent Adaptive Control and Defect Mitigation for Robotic Additive Manufacturing Processes.” 36th Annual International Solid Freeform Fabrication Symposium (SFF Symp 2025), Austin, Texas.
[22] “Effects of Part Size on Densification and Microstructure of 17-4 PH Stainless Steel Printed by Binder Jetting Additive Manufacturing” SME/ASME’s North American Manufacturing Research Conference (NAMRC 53-MSEC 2025), June 23-27, Greenville, SC.
[21] “Digital Twin Synchronization: Bridging the Sim-RL Agent to a Real-Time Robotic Additive Manufacturing Control” IEEE International Conference on Engineering Reliable Autonomous Systems (ERAS-25), Worcester, MA.
[20] “Digital Twin Synchronization for Real-Time Process Control Using Sim-RL in Smart Additive Manufacturing” AAAI 2025 Cooperative Multi-Agent Systems Decision-making and Learning (CMASDL), Philadelphia, PA.
[19] “Study of Cracking Initiation and Evolution Dynamics for Laser Powder Bed Fusion of Aluminum Alloy with In-situ X-ray Imaging and Automated Machine Learning.” TMS 2025 Annual Meeting & Exhibition, Las Vegas, NV.
[18] “In-situ Sensor Monitoring and Multiclass Porosity Defects Prediction for Laser Powder Bed Fusion with Machine Learning.” TMS 2025 Annual Meeting & Exhibition, Las Vegas, NV.
[17] “Binder Jet Powder-Based 3D Printing of 17-4 Stainless Steel with Comprehensive Property Characterization.” TMS 2025 Annual Meeting & Exhibition, Las Vegas, NV.
[16] “In-situ Sensor Monitoring for Multi-Class Gas Porosity Formation During Metal 3D Printing Using Convolutional Neural Network.” 35th Annual International Solid Freeform Fabrication Symposium (SFF Symp 2024), Austin, Texas.
[15] “AI-powered In-situ Pore Generation and Evolution Dynamics for Laser Powder Bed Fusion Process.” TMS 2024 Annual Meeting & Exhibition, Orlando, FL.
[14] MRS 2023 Spring Meeting & Exhibit, San Francisco, CA, USA. MD02.06: Materials Design II: AI-Powered In Situ X-Ray Characterization for Laser Metal Additive Manufacturing Process. Sen Liu; Vivek Thampy; Peiyu Quan; Nicholas Calta; Christopher Tassone.
[13] TMS 2023 Annual Meeting & Exhibition, San Diego, CA, USA. In-situ X-ray Characterization for Additive Manufacturing of Inoculants-treated Aluminum Alloy. Sen Liu; Vivek Thampy; Peiyu Quan; Nicholas Calta; Christopher Tassone.
[12] TMS 2023 Annual Meeting & Exhibition, San Diego, CA, USA. Interrelated Process-Geometry-Microstructure Relationships for Wire-feed Laser Additive Manufacturing. Sen Liu; Craig Brice; Xiaoli Zhang.
[11] ASTM International Conference on Additive Manufacturing (ICAM 2022), Orlando, FL, USA. #1229934: In-situ X-ray characterization for printable Aluminum alloy design for laser powder bed fusion additive manufacturing process. Sen Liu; Vivek Thampy; Peiyu Quan; Christopher Tassone.
[10] ASTM International Conference on Additive Manufacturing (ICAM 2022), Orlando, FL, USA. A new instrument for in-suit x-ray characterization for inoculation treatment of laser additive manufacturing. Peiyu Quan; Sen Liu; Vivek Thampy; Christopher Tassone.
[9] Annual International Solid Freeform Fabrication Symposium (SFF Symp 2022), Process Monitoring for Pore Detection using in situ X-ray Imaging and Pyrometry Signal. Sanam Gorgannejad, Aiden Martin, Jenny Wang, Jean-Baptiste Forien, Maria Strantza, Peiyu Quan, Sen Liu, Vivek Thampy, Christopher Tassone, Nicholas Calta.
[8] TMS 2020 Annual Meeting & Exhibition, San Diego, CA, USA. SPG-37: Automatically Quantifying Phase Information from HRTEM for Additively Manufactured Materials. Sen Liu; Behnam Amin-Ahmadi; Branden Kappes; Aaron Stebner; Xiaoli Zhang.
[7] TMS 2020 Annual Meeting & Exhibition, San Diego, CA, USA. The Next Generation of NiTi-based Shape Memory Alloys: Developed for Additive Manufacturing. Behnam Amin-Ahmadi; Sen Liu; Sean Mills; Branden Kappes; Ronald Noebe; Aaron Stebner.
[6] TMS 2019 Annual Meeting & Exhibition, San Antonio, TX, USA. Comprehensive Quality Assurance of Additive Manufacturing Ti-6Al-4V by Learning from Prior Studies. Sen Liu; Branden Kappes; Aaron Stebner; Xiaoli Zhang.
[5] TMS 2019 Annual Meeting & Exhibition, San Antonio, TX, USA. M-9: Sequential Experiments Design for Acceleration the Developments of NiTi-based Shape Memory Alloys. Sen Liu; Behnam Amin-Ahmadi; Branden Kappes; Aaron Stebner; Xiaoli Zhang.
[4] MS&T 2019 Annual Meeting & Exhibition, Portland, OR, USA. Optimizing Microstructure in AM Alloys through the Development of AM-specific Heat Treatments. Branden Kappes; Thomas Gallmeyer; Nathan Johnson; Sen Liu; Behnam Amin-Ahmadi; Xiaoli Zhang; Aaron Stebner.
[3] 25th ASME Conference on Information Storage & Processing Systems, Santa Clara, CA, USA. Analysis of the Adhered Particle Secondary Migration on the Slider Air Bearing Surface." Information Storage and Processing Systems. Vol. 49880. American Society of Mechanical Engineers, 2016. Sen Liu; Hui Li; Shengnan Shen; Shijing Wu.
[2] 2015 JSME IIP/ASME ISPS Joint Conference on Micromechatronics for Information and Precision Equipment, Kobe, Japan. MoP-5: Simulation of The Interaction Between Particle and Slider Surface. In Proceedings of JSME-IIP/ASME-ISPS Joint Conference on Micromechatronics for Information and Precision Equipment: IIP/ISPS joint MIPE 2015 (pp. _MoP-5). The Japan Society of Mechanical Engineers. Sen Liu; Hui Li; Shengnan Shen; Shijing Wu.
[1] 2015 IEEE International Magnetics Conference, Beijing, China. Numerical Study of Particle Trajectory in the Head-Disk Interface. Sen Liu; Hui Li; Shengnan Shen; Fuhao Cui; Shijing Wu.