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J. Joshua Yang
J. Joshua Yang
University of Southern California, Professor of Electrical and Computer Engineering, IEEE Fellow
Bestätigte E-Mail-Adresse bei usc.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Memristive devices for computing
JJ Yang, DB Strukov, DR Stewart
Nature nanotechnology 8 (1), 13-24, 2013
32342013
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
30262008
‘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
17722010
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
14112017
The mechanism of electroforming of metal oxide memristive switches
JJ Yang
Nanotechnology 20, 215201, 2009
9752009
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
8092020
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
7872009
Memristive crossbar arrays for brain-inspired computing
Q Xia, JJ Yang
Nature Materials 18 (4), 309–323, 2019
7722019
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
7142018
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
7112009
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
6992018
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
6612010
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
6252018
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
5642016
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
5642016
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
4782018
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
4642011
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
4072018
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
4012020
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
3862019
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