Publications

Agarwal, S., Wilson, D.E., Gilbert, N., Spear, M.E., Short, J.C., Bennett, C., Wahby, W., Kim, J., Jacobs-Gedrim, R.B., Xiao, T.P., & Marinella, M. (2024). A Test Platform to Characterize Emerging Nonvolatile Memories for Computing [Conference Presentation]. 10.2172/2563888

Foulk, J.W., Wahby, W., Xiao, T.P., Feinberg, B., Bennett, C., & Musuvathy, S.S. (2024). CrossSim: a hardware/software co-design tool for analog in-memory computing [Conference Presentation]. 10.2172/2563881

Foulk, J.W., Agarwal, S., Xiao, T.P., Hays, P.E., & Musuvathy, S.S. (2024). Biological Dynamics Enabling Training of Binary Recurrent Networks [Conference Paper]. 2024 IEEE Neuro Inspired Computational Elements Conference, NICE 2024 - Proceedings. 10.1109/NICE61972.2024.10549632

Oh, S., Xiao, T.P., Bennett, C., Weiss, A.J., Bishop, S.R., Finnegan, P.S., Fuller, E.J., Agarwal, S., & Talin, A.A. (2023). Bayesian Neural Network Implemented by Dynamically Programmable Noise in Vanadium Oxide [Conference Presentation]. 10.2172/2565191

Zogbi, N., Liu, S., Bennett, C., Agarwal, S., Marinella, M.J., Incorvia, J.A.C., & Xiao, T.P. (2023). Parallel Matrix Multiplication Using Voltage-Controlled Magnetic Anisotropy Domain Wall Logic. IEEE Journal on Exploratory Solid-State Computational Devices and Circuits, 9(1), pp. 65-73. https://doi.org/10.1109/jxcdc.2023.3266441

Xiao, T.P., Wahby, W., Bennett, C., Hays, P.E., Agrawal, V., Marinella, M., & Agarwal, S. (2023). Enabling High-Speed, High-Resolution Space-based Focal Plane Arrays with Analog In-Memory Computing Presentation Slides [Conference Presentation]. 10.2172/2431102

Xiao, T.P., Bennett, C., Feinberg, B., Marinella, M., & Agarwal, S. (2022). Subthreshold operation of SONOS analog memory to enable accurate low-power neural network inference [Conference Presentation]. 10.2172/2006312

Bennett, C., Xiao, T.P., Liu, S., Humphrey, L., Incorvia, J.A., Debusschere, B., Ries, D., & Agarwal, S. (2022). Probabilistic Nanomagnetic Memories for Uncertain and Robust Machine Learning. 10.2172/1891190

Kireev, D., Liu, S., Jin, H., Xiao, T.P., Bennett, C., Akinwande, D., & Incorvia, J.A.C. (2022). Metaplastic and energy-efficient biocompatible graphene artificial synaptic transistors for enhanced accuracy neuromorphic computing. Nature Communications, 13(1). 10.1038/s41467-022-32078-6

Liu, S., Kireev, D., Hart, W., Jin, H., Xiao, T.P., Bennett, C., Akinwande, D., & Incorvia, J.A. (2022). Biocompatible Graphene Transistors as Artificial Synapses, Neurons, and Dendrites [Conference Paper]. https://www.osti.gov/biblio/2003999

Marinella, M., Xiao, T.P., Bennett, C., Wahby, W., Jacobs-Gedrim, R.B., Hughart, D.R., Fuller, E.J., Talin, A.A., & Agarwal, S. (2022). Characterization of Memory Devices for Energy Efficient Analog In-Memory Neural Computing at the Edge [Conference Presentation]. 10.2172/2003029

Xiao, T.P., Bennett, C., Feinberg, B., Marinella, M., & Agarwal, S. (2022). CrossSim Inference Manual v2.0. 10.2172/1869509

Xiao, T.P., Feinberg, B., Bennett, C., Agrawal, V., Saxena, P., Prabhakar, V., Ramkumar, K., Medu, H., Raghavan, V., Chettuvetty, R., Agarwal, S., & Marinella, M. (2022). An Accurate, Error-Tolerant, and Energy-Efficient Neural Network Inference Engine Based on SONOS Analog Memory. IEEE Transactions on Circuits and Systems I: Regular Papers, 69(4), pp. 1480-1493. 10.1109/tcsi.2021.3134313

Xiao, T.P., Bennett, C., Agarwal, S., Hughart, D.R., Barnaby, H.J., Puchner, H., Talin, A.A., & Marinella, M. (2022). Single-Event Effects Induced by Heavy Ions in SONOS Charge Trapping Memory Arrays [Conference Presentation]. IEEE Transactions on Nuclear Science. 10.2172/1877504

Marinella, M., Xiao, T.P., Feinberg, B., Bennett, C., Agrawal, V., Puchner, H., & Agarwal, S. (2022). Achieving Accurate In-Memory Neural Network Inference with Highly Overlapping Nonvolatile Memory State Distributions [Conference Presentation]. 10.2172/2001989

Liu, S., Xiao, T.P., Agarwal, S., Debusschere, B., Bennett, C., & Incorvia, J.A. (2022). Domain wall-magnetic tunnel junction synapses for Bayesian neural networks [Presentation]. https://www.osti.gov/biblio/2001939

Marinella, M., Xiao, T.P., Bennett, C., Feinberg, B., Wahby, W., Jacobs-Gedrim, R.B., Agrawal, V., Puchner, H., Barnaby, H., & Agarwal, S. (2022). Energy Efficient Deep Neural Network Processing: Digital CMOS Limits and Prospects for Analog In-Memory Computing [Conference Presentation]. 10.2172/2002041

Xiao, T.P., Bennett, C., Wilson, D.E., Feinberg, B., Agarwal, S., & Marinella, M. (2022). Analog Neural Network Inference Accuracy in One-Selector One-Resistor Memory Arrays [Conference Presentation]. Proceedings - 2022 IEEE International Conference on Rebooting Computing, ICRC 2022. 10.2172/2006316

Marinella, M., Xiao, T.P., Wahby, W., Jacobs-Gedrim, R.B., Bennett, C., Robinson, D.A., Fuller, E.J., Talin, A.A., & Agarwal, S. (2021). Devices for Efficient Analog In-Memory Neural Computing at the Edge [Conference Presentation]. 10.2172/2001624

Xiao, T.P., Feinberg, B., Rohan, J.N., Bennett, C., Agarwal, S., & Marinella, M. (2021). Analysis and mitigation of parasitic resistance effects for analog in-memory neural network acceleration. Semiconductor Science and Technology, 36(11). 10.1088/1361-6641/ac271a

Xiao, T.P., Bennett, C., Feinberg, B., Marinella, M., & Agarwal, S. (2021). CrossSim: GPU-Accelerated Simulation of Analog Neural Networks [Conference Presentation]. 10.2172/1890592

Xiao, T.P., Feinberg, B., Bennett, C., Agarwal, S., & Marinella, M. (2021). Designing Accurate and Robust Analog Accelerators for Neural Networks and Linear Algebra [Presentation]. https://www.osti.gov/biblio/1882297

Bennett, C., Xiao, T.P., Leonard, T., Alamdar, M., Manuel, J., Jacobs-Gedrim, R.B., Xue, L., Vizkelethy, G., Bielejec, E.S., Incorvia, J.A., & Marinella, M. (2021). Investigation of Total Ionizing Dose on Domain-wall Magnetic Tunnel Junction Logic Devices (Presentation) [Conference Presentation]. 10.2172/1874876

Bennett, C., Robinson, D.A., Xiao, T.P., Melianas, A., Hughart, D.R., Agarwal, S., Fuller, E.J., Li, Y., Salleo, A., Allendorf, M., Talin, A.A., & Marinella, M. (2021). Effects of Total Ionizing Dose on PEDOT/PSS Organic Memory Devices (Poster) [Conference Poster]. 10.2172/1888965

Liu, S., Xiao, T.P., Cui, C., Incorvia, J.A.C., Bennett, C., & Marinella, M. (2021). A domain wall-magnetic tunnel junction artificial synapse with notched geometry for accurate and efficient training of deep neural networks. Applied Physics Letters, 118(20). 10.1063/5.0046032

Xiao, T.P., Bennett, C., Agarwal, S., Hughart, D.R., Barnaby, H.J., Puchner, H., Prabhakar, V., Talin, A.A., & Marinella, M. (2021). Ionizing Radiation Effects in SONOS-Based Neuromorphic Inference Accelerators. IEEE Transactions on Nuclear Science, 68(5), pp. 762-769. 10.1109/tns.2021.3058548

Xiao, T.P., Bennett, C., Mancoff, F.B., Manuel, J., Hughart, D.R., Jacobs-Gedrim, R.B., Bielejec, E.S., Vizkelethy, G., Sun, J., Aggarwal, S., Arghavani, R., & Marinella, M. (2021). Heavy-Ion-Induced Displacement Damage Effects in Magnetic Tunnel Junctions with Perpendicular Anisotropy. IEEE Transactions on Nuclear Science, 68(5), pp. 581-587. 10.1109/tns.2021.3057348

Talin, A.A., Li, Y., Fuller, E.J., Bennett, C., Xiao, T.P., Salleo, A., Melianas, A., Isele, E., Marinella, M., & Tao, H. (2021). In situ Parallel Training of Analog Neural Network Using Electrochemical Random-Access Memory. Frontiers in Neuroscience (Online), 15. https://doi.org/10.3389/fnins.2021.636127

Leonard, T., Marinella, M., Incorvia, J.A., Bennett, C., Xiao, T.P., & Finnegan, P.S. (2021). Domain Wall Magnetic Tunnel Junction Spin Orbit Torque Devices for In Memory Computing [Presentation]. https://www.osti.gov/biblio/1861012

Liu, S.X., Marinella, M., Incorvia, J.A., Bennett, C., Xiao, T.P., & Jacobs-Gedrim, R.B. (2021). Radiation Hard Nonvolatile Memory and Logic Based on Magnetic Tunnel Junctions: Magnetic computing device simulations for neural network applications [Presentation]. https://www.osti.gov/biblio/1861011

Bennett, C., Dellana, R., Xiao, T.P., Feinberg, B., Agarwal, S., Cardwell, S.G., Marinella, M., Severa, W.M., & Aimone, J.B. (2021). Evaluating complexity and resilience trade-offs in emerging memory inference machines [Conference Presentation]. 10.2172/1859699

Feinberg, B., Wong, R., Xiao, T.P., Rohan, J.N., Boman, E.G., Marinella, M., Agarwal, S., & Ipek, E. (2021). An Analog Preconditioner for Solving Linear Systems [Conference Presentation]. Proceedings - International Symposium on High-Performance Computer Architecture. https://doi.org/10.2172/1847491

Feinberg, B., Wong, R., Xiao, T.P., Rohan, J.N., Boman, E.G., Marinella, M., Agarwal, S., & Ipek, E. (2021). An Analog Preconditioner for Solving Linear Systems [Conference Presentation]. Proceedings - International Symposium on High-Performance Computer Architecture. 10.2172/1848047

Feinberg, B., Wong, R., Xiao, T.P., Rohan, J.N., Boman, E.G., Marinella, M., Agarwal, S., & Ipek, E. (2020). An Analog Preconditioner for Solving Linear Systems [Conference Paper]. 10.1109/HPCA51647.2021.00069

Esposito, M.G., Manuel, J., Vizkelethy, G., Garland, D., Bielejec, E.S., Xiao, T.P., Dickerson, J., McLain, M., King, M.P., Marinella, M., Ashby, D.S., Talin, A.A., Brunhaver, J.S., Privat, A., & Barnaby, H. (2020). Investigating Heavy Ion Effects on 14nm-Process FinFETs: Displacement Damage Versus Total Ionizing Dose [Conference Paper]. https://www.osti.gov/biblio/1824924

Xiao, T.P., Bennett, C., Agarwal, S., Hughart, D.R., Barnaby, H., Puchner, H., Prabhakar, V., & Marinella, M. (2020). Ionizing radiation effects in SONOS-based neuromorphic inference accelerators [Conference Poster]. 10.2172/1831578

Xiao, T.P., Bennett, C., Mancoff, F., Manuel, J., Hughart, D.R., Jacobs-Gedrim, R.B., Bielejec, E.S., Vizkelethy, G., Sun, J., Aggarwal, S., Arghavani, R., & Marinella, M. (2020). Heavy-ion-induced displacement damage effects in magnetic tunnel junctions with perpendicular anisotropy [Conference Presentation]. 10.2172/1831024

Xiao, T.P., Bennett, C., Feinberg, B., Agarwal, S., & Marinella, M. (2020). Analog architectures for neural network acceleration based on non-volatile memory. Applied Physics Reviews, 7(3). https://doi.org/10.1063/1.5143815

Xiao, T.P., Bennett, C., Hu, X., Feinberg, B., Jacobs-Gedrim, R.B., Agarwal, S., Brunhaver, J., Friedman, J., Incorvia, J.A., & Marinella, M. (2020). Energy-efficient stateful logic with magnetic domain walls [Presentation]. 10.1117/12.2568658

Aimone, J.B., Bennett, C., Cardwell, S.G., Dellana, R., & Xiao, T.P. (2020). Mosaics, The Best of Both Worlds: Analog devices with Digital Spiking Communication to build a Hybrid Neural Network Accelerator. 10.2172/1673175

Xiao, T.P., Bennett, C., & Marinella, M. (2020). Domain wall logic architectures [Presentation]. https://www.osti.gov/biblio/1812464

Liu, S., Bennett, C., Xiao, T.P., & Marinella, M. (2020). Shape anisotropy effects on magnetic domain wall dynamics in spintronic devices [Final presentation] [Presentation]. https://www.osti.gov/biblio/1812172

Liu, S., Bennett, C., Marinella, M., & Xiao, T.P. (2020). Update 2: Shape anisotropy effects on magnetic domain wall dynamics in spintronic devices [Presentation]. https://www.osti.gov/biblio/1808261

Liu, S., Bennett, C., Xiao, T.P., & Marinella, M. (2020). Shape anisotropy effects on magnetic domain wall dynamics in spintronic devices [Presentation]. https://www.osti.gov/biblio/1804995

Marinella, M., Agarwal, S., Bennett, C., Xiao, T.P., Jacobs-Gedrim, R.B., Hughart, D.R., Fuller, E.J., Talin, A.A., Barnaby, H., & Incorvia, J.A. (2020). Efficient Neural Network Processing with Analog In-Memory Computing [Conference Poster]. https://www.osti.gov/biblio/1780947

Bennett, C., Xiao, T.P., Dellana, R., Feinberg, B., Agarwal, S., Marinella, M., Agrawal, V., Prabhakar, V., Ramkumar, K., Hinh, L., Saha, S., Raghavan, V., & Chettuvetty, R. (2020). Device-aware inference operations in SONOS nonvolatile memory arrays [Conference Poster]. IEEE International Reliability Physics Symposium Proceedings. https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85087332324&origin=inward

Bennett, C., Dellana, R., Xiao, T.P., Feinberg, B., Agarwal, S., Cardwell, S.G., Marinella, M., Severa, W.M., & Aimone, J.B. (2020). Evaluating complexity and resilience trade-offs in emerging memory inference machines [Conference Poster]. https://www.osti.gov/biblio/1768142

Bennett, C., Xiao, T.P., Cui, C., Hassan, N., Akinola, O., Incorvia, J.A., Velasquez, A., Friedman, J., & Marinella, M. (2020). Plasticity-Enhanced Domain-Wall MTJ Neural Networks for Energy-Efficient Online Learning [Conference Poster]. 10.1109/ISCAS45731.2020.9180511

Agarwal, S., Jacobs-Gedrim, R.B., Bennett, C., Xiao, T.P., van Heukelom, M., Hughart, D.R., Fuller, E.J., Li, Y., Talin, A.A., & Marinella, M. (2020). Designing and Modelling Analog Neural Network Training Accelerators [Presentation]. https://www.osti.gov/biblio/1764800

Bennett, C., Xiao, T.P., Cui, C., Hassan, N., Akinola, O.G., Incorvia, J.A.C., Velasquez, A., Friedman, J.S., & Marinella, M. (2020). Plasticity-enhanced domain-wall MTJ neural networks for energy-efficient online learning [Conference Poster]. Proceedings - IEEE International Symposium on Circuits and Systems. https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85109350254&origin=inward

Hu, X., Edwards, A., Xiao, T.P., Bennett, C., Incorvia, J.A., Marinella, M., & Friedman, J. (2019). Process Variation Model and Analysis for Domain Wall-Magnetic Tunnel Junction Logic [Conference Poster]. 10.1109/ISCAS45731.2020.9180675

Xiao, T.P., Bennett, C., Hu, X., Feinberg, B., Jacobs-Gedrim, R.B., Agarwal, S., Brunhaver, J.S., Friedman, J.S., Incorvia, J.A.C., & Marinella, M. (2019). Energy and Performance Benchmarking of a Domain Wall-Magnetic Tunnel Junction Multibit Adder. IEEE Journal on Exploratory Solid-State Computational Devices and Circuits, 5(2), pp. 188-196. 10.1109/JXCDC.2019.2955016