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J. Joshua Yang
J. Joshua Yang
University of Southern California, Professor of Electrical and Computer Engineering, IEEE Fellow
Zweryfikowany adres z usc.edu - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
Memristive devices for computing
JJ Yang, DB Strukov, DR Stewart
Nature nanotechnology 8 (1), 13-24, 2013
32072013
Memristive switching mechanism for metal/oxide/metal nanodevices
JJ Yang, MD Pickett, X Li, DAA Ohlberg, DR Stewart, RS Williams
Nature nanotechnology 3 (7), 429-433, 2008
30022008
‘Memristive’switches enable ‘stateful’logic operations via material implication
J Borghetti, GS Snider, PJ Kuekes, JJ Yang, DR Stewart, RS Williams
Nature 464 (7290), 873-876, 2010
17582010
Memristors with diffusive dynamics as synaptic emulators for neuromorphic computing
Z Wang, S Joshi, SE Savel’ev, H Jiang, R Midya, P Lin, M Hu, N Ge, ...
Nature materials 16 (1), 101-108, 2017
13792017
The mechanism of electroforming of metal oxide memristive switches
JJ Yang
Nanotechnology 20, 215201, 2009
9672009
Switching dynamics in titanium dioxide memristive devices
MD Pickett, DB Strukov, JL Borghetti, JJ Yang, GS Snider, DR Stewart, ...
Journal of Applied Physics 106 (7), 074508, 2009
7822009
Fully hardware-implemented memristor convolutional neural network
P Yao, H Wu, B Gao, J Tang, Q Zhang, W Zhang, JJ Yang, H Qian
Nature 577 (7792), 641-646, 2020
7512020
Memristive crossbar arrays for brain-inspired computing
Q Xia, JJ Yang
Nature Materials 18 (4), 309–323, 2019
7362019
Memristor− CMOS hybrid integrated circuits for reconfigurable logic
Q Xia, W Robinett, MW Cumbie, N Banerjee, TJ Cardinali, JJ Yang, W Wu, ...
Nano letters 9 (10), 3640-3645, 2009
7092009
Efficient and self-adaptive in-situ learning in multilayer memristor neural networks
C Li, D Belkin, Y Li, P Yan, M Hu, N Ge, H Jiang, E Montgomery, P Lin, ...
Nature communications 9 (1), 1-8, 2018
6792018
Analogue signal and image processing with large memristor crossbars
C Li, M Hu, Y Li, H Jiang, N Ge, E Montgomery, J Zhang, W Song, ...
Nature electronics 1 (1), 52-59, 2018
6792018
High switching endurance in memristive devices
JJ Yang, MX Zhang, JP Strachan, F Miao, MD Pickett, RD Kelley, ...
Applied Physics Letters 97 (23), 232102, 2010
6572010
Fully memristive neural networks for pattern classification with unsupervised learning
Z Wang, S Joshi, S Savel’ev, W Song, R Midya, Y Li, M Rao, P Yan, ...
Nature Electronics 1 (2), 137-145, 2018
6072018
Dot-product engine for neuromorphic computing: Programming 1T1M crossbar to accelerate matrix-vector multiplication
M Hu, JP Strachan, Z Li, EM Grafals, N Davila, C Graves, S Lam, N Ge, ...
2016 53nd acm/edac/ieee design automation conference (dac), 1-6, 2016
5512016
Dot-product engine for neuromorphic computing: Programming 1T1M crossbar to accelerate matrix-vector multiplication
M Hu, JP Strachan, Z Li, EM Grafals, N Davila, C Graves, S Lam, N Ge, ...
2016 53nd acm/edac/ieee design automation conference (dac), 1-6, 2016
5512016
Anatomy of a nanoscale conduction channel reveals the mechanism of a high‐performance memristor
F Miao, JP Strachan, JJ Yang, MX Zhang, I Goldfarb, AC Torrezan, ...
Advanced materials 23 (47), 5633-5640, 2011
4602011
Memristor‐based analog computation and neural network classification with a dot product engine
M Hu, CE Graves, C Li, Y Li, N Ge, E Montgomery, N Davila, H Jiang, ...
Advanced Materials 30 (9), 1705914, 2018
4582018
Robust memristors based on layered two-dimensional materials
M Wang, S Cai, C Pan, C Wang, X Lian, Y Zhuo, K Xu, T Cao, X Pan, ...
Nature Electronics 1 (2), 130-136, 2018
3942018
Resistive switching materials for information processing
Z Wang, H Wu, GW Burr, CS Hwang, KL Wang, Q Xia, JJ Yang
Nature Reviews Materials 5 (3), 173-195, 2020
3742020
Recommended methods to study resistive switching devices
M Lanza, HSP Wong, E Pop, D Ielmini, D Strukov, BC Regan, L Larcher, ...
Advanced Electronic Materials 5 (1), 1800143, 2019
3692019
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