재정 지원 요구사항을 통해 공개된 자료 - Matthew J Marinella자세히 알아보기
제공된 곳이 없음: 12
Efficient reservoir computing with memristors
MJ Marinella, S Agarwal
Nature Electronics 2 (10), 437-438, 2019
재정 지원 요구사항 정책: US Department of Energy
Neuromemristive systems: boosting efficiency through brain-inspired computing
C Merkel, R Hasan, N Soures, D Kudithipudi, T Taha, S Agarwal, ...
Computer 49 (10), 56-64, 2016
재정 지원 요구사항 정책: US Department of Energy
Characterization of fast interface states in nitrogen-and phosphorus-treated 4H-SiC MOS capacitors
WC Kao, M Goryll, M Marinella, RJ Kaplar, C Jiao, S Dhar, JA Cooper, ...
Semiconductor Science and Technology 30 (7), 075011, 2015
재정 지원 요구사항 정책: US Department of Energy
Layout dependence of total ionizing dose effects on 12-nm bulk FinFET core digital structures
T Wallace, M Spear, A Privat, J Neuendank, G Irumva, D Wilson, ...
IEEE Transactions on Nuclear Science 70 (4), 620-626, 2022
재정 지원 요구사항 정책: US Department of Energy, US Department of Defense
Enabling on-device learning with deep spiking neural networks for speech recognition
N Soures, D Kudithipudi, RB Jacobs-Gedrim, S Agarwal, M Marinella
ECS Transactions 85 (6), 127, 2018
재정 지원 요구사항 정책: US Department of Energy
Emerging memory devices: Assessment and benchmarking
MJ Marinella, VV Zhirnov
Emerging Nanoelectronic Devices, 246-276, 2014
재정 지원 요구사항 정책: US Department of Energy
Non-linear coupling effects in fully depleted SOI transistors
M Spear, HJ Barnaby, T Wallace, J Solano, O Forman, D Wilson, ...
IEEE Transactions on Nuclear Science 70 (4), 434-441, 2023
재정 지원 요구사항 정책: US Department of Defense, US National Aeronautics and Space Administration
Total ionizing dose response of 128 analog states in computational charge-trap memory
TP Xiao, D Wilson, CH Bennett, DR Hughart, B Feinberg, V Agrawal, ...
IEEE Transactions on Nuclear Science, 2023
재정 지원 요구사항 정책: US Department of Energy
Enabling high-speed, high-resolution space-based focal plane arrays with analog in-memory computing
TP Xiao, WS Wahby, CH Bennett, P Hays, V Agrawal, MJ Marinella, ...
2023 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and …, 2023
재정 지원 요구사항 정책: US Department of Energy
TID Response of an Analog In-Memory Neural Network Accelerator
B Tolleson, C Bennett, TP Xiao, D Wilson, J Short, J Kim, DR Hughart, ...
2023 IEEE International Reliability Physics Symposium (IRPS), 1-6, 2023
재정 지원 요구사항 정책: US Department of Energy
Analog Neural Network Inference Accuracy in One-Selector One-Resistor Memory Arrays
JE Kim, TP Xiao, CH Bennett, D Wilson, M Spear, M Siath, B Feinberg, ...
2022 IEEE International Conference on Rebooting Computing (ICRC), 7-12, 2022
재정 지원 요구사항 정책: US Department of Energy
TCAD Calibrated SEE Fault Model Validated with Beam Results for a 12nm D Flip-Flop.
C YoungSciortino, J Neuendank, LT Clark, H Barnaby, D Wilson, M Spear, ...
2022 22nd European Conference on Radiation and Its Effects on Components and …, 2022
재정 지원 요구사항 정책: US Department of Energy
제공된 곳이 있음: 179
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
재정 지원 요구사항 정책: US National Science Foundation, US Department of Energy
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
재정 지원 요구사항 정책: US National Science Foundation, US Department of Energy, US National …
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
재정 지원 요구사항 정책: US Department of Energy
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
재정 지원 요구사항 정책: US Department of Energy
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
재정 지원 요구사항 정책: US Department of Energy
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
재정 지원 요구사항 정책: US Department of Energy
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
재정 지원 요구사항 정책: US Department of Energy
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
재정 지원 요구사항 정책: US Department of Energy
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