| A non-volatile organic electrochemical device as a low-voltage artificial synapse for neuromorphic computing Y Van De Burgt, E Lubberman, EJ Fuller, ST Keene, GC Faria, S Agarwal, ... Nature materials 16 (4), 414-418, 2017 | 1638 | 2017 |
| Parallel programming of an ionic floating-gate memory array for scalable neuromorphic computing EJ Fuller, ST Keene, A Melianas, Z Wang, S Agarwal, Y Li, Y Tuchman, ... Science 364 (6440), 570-574, 2019 | 670 | 2019 |
| Li-ion synaptic transistor for low power analog computing EJ Fuller, FE Gabaly, F Léonard, S Agarwal, SJ Plimpton, ... Advanced Materials 29 (SAND-2017-0895J), 2016 | 567 | 2016 |
| High‐speed and low‐energy nitride memristors BJ Choi, AC Torrezan, JP Strachan, PG Kotula, AJ Lohn, MJ Marinella, ... Advanced Functional Materials 26 (29), 5290-5296, 2016 | 350 | 2016 |
| Resistive memory device requirements for a neural algorithm accelerator S Agarwal, SJ Plimpton, DR Hughart, AH Hsia, I Richter, JA Cox, ... 2016 International Joint Conference on Neural Networks (IJCNN), 929-938, 2016 | 214 | 2016 |
| 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 | 200 | 2020 |
| Multiscale co-design analysis of energy, latency, area, and accuracy of a ReRAM analog neural training accelerator MJ Marinella, S Agarwal, A Hsia, I Richter, R Jacobs-Gedrim, J Niroula, ... IEEE Journal on Emerging and Selected Topics in Circuits and Systems 8 (1 …, 2018 | 197 | 2018 |
| A historical survey of algorithms and hardware architectures for neural-inspired and neuromorphic computing applications CD James, JB Aimone, NE Miner, CM Vineyard, FH Rothganger, ... Biologically Inspired Cognitive Architectures 19, 49-64, 2017 | 155 | 2017 |
| Energy scaling advantages of resistive memory crossbar based computation and its application to sparse coding S Agarwal, TT Quach, O Parekh, AH Hsia, EP DeBenedictis, CD James, ... Frontiers in neuroscience 9, 484, 2016 | 126 | 2016 |
| 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 | 125 | 2020 |
| Reconfigurable memristive device technologies AH Edwards, HJ Barnaby, KA Campbell, MN Kozicki, W Liu, MJ Marinella Proceedings of the IEEE 103 (7), 1004-1033, 2015 | 116 | 2015 |
| A physical model of switching dynamics in tantalum oxide memristive devices PR Mickel, AJ Lohn, B Joon Choi, J Joshua Yang, MX Zhang, ... Applied Physics Letters 102 (22), 2013 | 104 | 2013 |
| Panther: A programmable architecture for neural network training harnessing energy-efficient reram A Ankit, I El Hajj, SR Chalamalasetti, S Agarwal, M Marinella, M Foltin, ... IEEE Transactions on Computers 69 (8), 1128-1142, 2020 | 99 | 2020 |
| Initial Assessment of the Effects of Radiation on the Electrical Characteristics of Memristive Memories MJ Marinella, SM Dalton, PR Mickel, PED Dodd, MR Shaneyfelt, ... IEEE Transactions on Nuclear Science 59 (6), 2987-2994, 2012 | 94 | 2012 |
| Isothermal switching and detailed filament evolution in memristive systems. PR Mickel, AJ Lohn, CD James, MJ Marinella Advanced materials (Deerfield Beach, Fla.) 26 (26), 4486-4490, 2014 | 70 | 2014 |
| 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 |
| Achieving ideal accuracies in analog neuromorphic computing using periodic carry S Agarwal, RBJ Gedrim, AH Hsia, DR Hughart, EJ Fuller, AA Talin, ... 2017 Symposium on VLSI Technology, T174-T175, 2017 | 65 | 2017 |
| Slow detrapping transients due to gate and drain bias stress in high breakdown voltage AlGaN/GaN HEMTs S DasGupta, M Sun, A Armstrong, RJ Kaplar, MJ Marinella, JB Stanley, ... IEEE transactions on electron devices 59 (8), 2115-2122, 2012 | 61 | 2012 |
| 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 |
Sapan AgarwalSandia National LaboratoriesVerified email at sandia.gov