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., & Marinella, M. (2024). A Test Platform to Characterize Emerging Nonvolatile Memories for Computing [Conference Presenation]. 10.2172/2563888

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

Foulk, J.W., Agarwal, S., Xiao, T.P., Hays, P.E., Musuvathy, S.S., & 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., & Talin, A.A. (2023). Bayesian Neural Network Implemented by Dynamically Programmable Noise in Vanadium Oxide [Conference Presenation]. 10.2172/2565191

Zogbi, N., Liu, S., Bennett, C., Agarwal, S., Marinella, M.J., Incorvia, J.A.C., Xiao, T.P., & 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., & Agarwal, S. (2023). Enabling High-Speed, High-Resolution Space-based Focal Plane Arrays with Analog In-Memory Computing Presentation Slides [Conference Presenation]. 10.2172/2431102

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

Bennett, C., Xiao, T.P., Liu, S., Humphrey, L., Incorvia, J.A., Debusschere, B., Ries, D., Agarwal, S., & 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., & 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., & 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., & Agarwal, S. (2022). Characterization of Memory Devices for Energy Efficient Analog In-Memory Neural Computing at the Edge [Conference Presenation]. 10.2172/2003029

Xiao, T.P., Bennett, C., Feinberg, B., Marinella, M., Agarwal, S., & 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., & 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., & Marinella, M. (2022). Single-Event Effects Induced by Heavy Ions in SONOS Charge Trapping Memory Arrays [Conference Presenation]. IEEE Transactions on Nuclear Science. 10.2172/1877504

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

Liu, S., Xiao, T.P., Agarwal, S., Debusschere, B., Bennett, C., Incorvia, J.A., & 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., & Agarwal, S. (2022). Energy Efficient Deep Neural Network Processing: Digital CMOS Limits and Prospects for Analog In-Memory Computing [Conference Presenation]. 10.2172/2002041

Xiao, T.P., Bennett, C., Wilson, D.E., Feinberg, B., Agarwal, S., Marinella, M., & Marinella, M. (2022). Analog Neural Network Inference Accuracy in One-Selector One-Resistor Memory Arrays [Conference Presenation]. 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., & Agarwal, S. (2021). Devices for Efficient Analog In-Memory Neural Computing at the Edge [Conference Presenation]. 10.2172/2001624

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

Xiao, T.P., Feinberg, B., Bennett, C., Agarwal, S., Marinella, M., & 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., & Marinella, M. (2021). Investigation of Total Ionizing Dose on Domain-wall Magnetic Tunnel Junction Logic Devices (Presentation) [Conference Presenation]. 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., & 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., & 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., & 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., & 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., & 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., & 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., & 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., & Aimone, J.B. (2021). Evaluating complexity and resilience trade-offs in emerging memory inference machines [Conference Presenation]. 10.2172/1859699

Feinberg, B., Wong, R., Xiao, T.P., Rohan, J.N., Boman, E.G., Marinella, M., Agarwal, S., Ipek, E., & Ipek, E. (2021). An Analog Preconditioner for Solving Linear Systems [Conference Presenation]. 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., & Ipek, E. (2021). An Analog Preconditioner for Solving Linear Systems [Conference Presenation]. 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., & 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., & 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., & 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., & Marinella, M. (2020). Heavy-ion-induced displacement damage effects in magnetic tunnel junctions with perpendicular anisotropy [Conference Presenation]. 10.2172/1831024

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

Liu, S., Bennett, C., Xiao, T.P., Marinella, M., & 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., & 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., & 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., & 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., & 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., & 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., & 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., & 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., & 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., & 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., & 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