| Analog architectures for neural network acceleration based on non-volatile memory TP Xiao, CH Bennett, B Feinberg, S Agarwal, MJ Marinella Applied Physics Reviews 7 (3), 2020 | 203 | 2020 |
| Filament‐free bulk resistive memory enables deterministic analogue switching Y Li, EJ Fuller, JD Sugar, S Yoo, DS Ashby, CH Bennett, RD Horton, ... Advanced Materials 32 (45), 2003984, 2020 | 127 | 2020 |
| Magnetic domain wall neuron with lateral inhibition N Hassan, X Hu, L Jiang-Wei, WH Brigner, OG Akinola, F Garcia-Sanchez, ... Journal of Applied Physics 124 (15), 2018 | 90 | 2018 |
| Metaplastic and energy-efficient biocompatible graphene artificial synaptic transistors for enhanced accuracy neuromorphic computing D Kireev, S Liu, H Jin, T Patrick Xiao, CH Bennett, D Akinwande, ... Nature Communications 13 (1), 4386, 2022 | 73 | 2022 |
| Physical realization of a supervised learning system built with organic memristive synapses YP Lin, CH Bennett, T Cabaret, D Vodenicarevic, D Chabi, D Querlioz, ... Scientific reports 6 (1), 31932, 2016 | 66 | 2016 |
| Shape-based magnetic domain wall drift for an artificial spintronic leaky integrate-and-fire neuron WH Brigner, N Hassan, L Jiang-Wei, X Hu, D Saha, CH Bennett, ... IEEE Transactions on Electron Devices 66 (11), 4970-4975, 2019 | 65 | 2019 |
| A domain wall-magnetic tunnel junction artificial synapse with notched geometry for accurate and efficient training of deep neural networks S Liu, TP Xiao, C Cui, JAC Incorvia, CH Bennett, MJ Marinella Applied Physics Letters 118 (20), 2021 | 59 | 2021 |
| Shape‐dependent multi‐weight magnetic artificial synapses for neuromorphic computing T Leonard, S Liu, M Alamdar, H Jin, C Cui, OG Akinola, L Xue, TP Xiao, ... Advanced Electronic Materials 8 (12), 2200563, 2022 | 58 | 2022 |
| Domain wall-magnetic tunnel junction spin–orbit torque devices and circuits for in-memory computing M Alamdar, T Leonard, C Cui, BP Rimal, L Xue, OG Akinola, ... Applied Physics Letters 118 (11), 2021 | 58 | 2021 |
| Ultrahigh density memristor neural crossbar for on-chip supervised learning D Chabi, Z Wang, C Bennett, JO Klein, W Zhao IEEE Transactions on Nanotechnology 14 (6), 954-962, 2015 | 56 | 2015 |
| Graded-anisotropy-induced magnetic domain wall drift for an artificial spintronic leaky integrate-and-fire neuron WH Brigner, X Hu, N Hassan, CH Bennett, JAC Incorvia, ... IEEE Journal on Exploratory Solid-State Computational Devices and Circuits 5 …, 2019 | 51 | 2019 |
| On the accuracy of analog neural network inference accelerators TP Xiao, B Feinberg, CH Bennett, V Prabhakar, P Saxena, V Agrawal, ... IEEE Circuits and Systems Magazine 22 (4), 26-48, 2022 | 44 | 2022 |
| Redox transistors for neuromorphic computing EJ Fuller, Y Li, C Bennet, ST Keene, A Melianas, S Agarwal, MJ Marinella, ... IBM Journal of Research and Development 63 (6), 9: 1-9: 9, 2019 | 44 | 2019 |
| In situ Parallel Training of Analog Neural Network Using Electrochemical Random-Access Memory Y Li, TP Xiao, CH Bennett, E Isele, A Melianas, H Tao, MJ Marinella, ... Frontiers in Neuroscience 15, 636127, 2021 | 42 | 2021 |
| Maximized lateral inhibition in paired magnetic domain wall racetracks for neuromorphic computing C Cui, OG Akinola, N Hassan, CH Bennett, MJ Marinella, JS Friedman, ... Nanotechnology 31 (29), 294001, 2020 | 39 | 2020 |
| Three-terminal magnetic tunnel junction synapse circuits showing spike-timing-dependent plasticity O Akinola, X Hu, CH Bennett, M Marinella, JS Friedman, JAC Incorvia Journal of Physics D: Applied Physics 52 (49), 49LT01, 2019 | 39 | 2019 |
| Energy and performance benchmarking of a domain wall-magnetic tunnel junction multibit adder TP Xiao, CH Bennett, X Hu, B Feinberg, R Jacobs-Gedrim, S Agarwal, ... IEEE Journal on Exploratory Solid-State Computational Devices and Circuits 5 …, 2019 | 29 | 2019 |
| Bayesian Neural Networks Using Magnetic Tunnel Junction-Based Probabilistic In-Memory Computing S Liu, TP Xiao, J Kwon, BJ Debusschere, S Agarwal, JAC Incorvia, ... Frontiers in Nanotechnology 43 (Sec. Computational Nanotechnology), 2022 | 25 | 2022 |
| An accurate, error-tolerant, and energy-efficient neural network inference engine based on SONOS analog memory TP Xiao, B Feinberg, CH Bennett, V Agrawal, P Saxena, V Prabhakar, ... IEEE Transactions on Circuits and Systems I: Regular Papers 69 (4), 1480-1493, 2022 | 25 | 2022 |
| CrossSim: accuracy simulation of analog in-memory computing TP Xiao, CH Bennett, B Feinberg, MJ Marinella, S Agarwal GitHub, v2. 0, https://github. com/sandialabs/cross-sim, 2022 | 24 | 2022 |
Matthew J MarinellaArizona State UniversityAdresse e-mail validée de asu.edu