Christopher H Bennett
Christopher H Bennett
Sandia Labs
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Cited by
Cited by
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Irradiation effects on perpendicular anisotropy spin–orbit torque magnetic tunnel junctions
M Alamdar, LJ Chang, K Jarvis, P Kotula, C Cui, R Gearba-Dolocan, Y Liu, ...
IEEE Transactions on Nuclear Science 68 (5), 665-670, 2021
Spatio-temporal learning with arrays of analog nanosynapses
CH Bennett, D Querlioz, JO Klein
2017 IEEE/ACM International Symposium on Nanoscale Architectures (NANOARCH …, 2017
On the Accuracy of Analog Neural Network Inference Accelerators [Feature]
TP Xiao, B Feinberg, CH Bennett, V Prabhakar, P Saxena, V Agrawal, ...
IEEE Circuits and Systems Magazine 22 (4), 26-48, 2021
Contrasting advantages of learning with random weights and backpropagation in non-volatile memory neural networks
CH Bennett, V Parmar, LE Calvet, JO Klein, M Suri, MJ Marinella, ...
IEEE Access 7, 73938-73953, 2019
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