| 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 | 1218 | 2018 |
| 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), 2385, 2018 | 1188 | 2018 |
| 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 | 1058 | 2018 |
| 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 | 779 | 2018 |
| Memristor crossbar arrays with 6-nm half-pitch and 2-nm critical dimension S Pi, C Li, H Jiang, W Xia, H Xin, JJ Yang, Q Xia Nature nanotechnology 14 (1), 35-39, 2019 | 532 | 2019 |
| A novel true random number generator based on a stochastic diffusive memristor H Jiang, D Belkin, SE Savel’ev, S Lin, Z Wang, Y Li, S Joshi, R Midya, C Li, ... Nature communications 8 (1), 882, 2017 | 477 | 2017 |
| Long short-term memory networks in memristor crossbar arrays C Li, Z Wang, M Rao, D Belkin, W Song, H Jiang, P Yan, Y Li, P Lin, M Hu, ... Nature Machine Intelligence 1 (1), 49-57, 2019 | 389 | 2019 |
| Power-efficient combinatorial optimization using intrinsic noise in memristor Hopfield neural networks F Cai, S Kumar, T Van Vaerenbergh, X Sheng, R Liu, C Li, Z Liu, M Foltin, ... Nature Electronics 3 (7), 409-418, 2020 | 378* | 2020 |
| Anatomy of Ag/Hafnia-based selectors with 10 10 nonlinearity R Midya, Z Wang, J Zhang, SE Savel'ev, C Li, M Rao, MH Jang, S Joshi, ... Advanced Materials 29 (BNL-113633-2017-JA), 2017 | 377 | 2017 |
| Reinforcement learning with analogue memristor arrays Z Wang, C Li, W Song, M Rao, D Belkin, Y Li, P Yan, H Jiang, P Lin, M Hu, ... Nature electronics 2 (3), 115-124, 2019 | 345 | 2019 |
| Threshold switching of Ag or Cu in dielectrics: materials, mechanism, and applications Z Wang, M Rao, R Midya, S Joshi, H Jiang, P Lin, W Song, S Asapu, ... Advanced Functional Materials 28 (6), 1704862, 2018 | 345 | 2018 |
| Three-dimensional memristor circuits as complex neural networks P Lin, C Li, Z Wang, Y Li, H Jiang, W Song, M Rao, Y Zhuo, NK Upadhyay, ... Nature Electronics 3 (4), 225-232, 2020 | 334 | 2020 |
| Capacitive neural network with neuro-transistors Z Wang, M Rao, JW Han, J Zhang, P Lin, Y Li, C Li, W Song, S Asapu, ... Nature communications 9 (1), 3208, 2018 | 276 | 2018 |
| In situ training of feed-forward and recurrent convolutional memristor networks Z Wang, C Li, P Lin, M Rao, Y Nie, W Song, Q Qiu, Y Li, P Yan, ... Nature Machine Intelligence 1 (9), 434-442, 2019 | 267 | 2019 |
| Three-dimensional crossbar arrays of self-rectifying Si/SiO2/Si memristors C Li, L Han, H Jiang, MH Jang, P Lin, Q Wu, M Barnell, JJ Yang, HL Xin, ... Nature communications 8 (1), 15666, 2017 | 223 | 2017 |
| Silicon Oxide (SiOx): A Promising Material for Resistance Switching? A Mehonic, AL Shluger, D Gao, I Valov, E Miranda, D Ielmini, A Bricalli, ... Advanced materials 30 (43), 1801187, 2018 | 208 | 2018 |
| Roadmap on emerging hardware and technology for machine learning K Berggren, Q Xia, KK Likharev, DB Strukov, H Jiang, T Mikolajick, ... Nanotechnology 32 (1), 012002, 2020 | 205 | 2020 |
| Analog content-addressable memories with memristors C Li, CE Graves, X Sheng, D Miller, M Foltin, G Pedretti, JP Strachan Nature communications 11 (1), 1638, 2020 | 177 | 2020 |
| Artificial neural network (ANN) to spiking neural network (SNN) converters based on diffusive memristors R Midya, Z Wang, S Asapu, S Joshi, Y Li, Y Zhuo, W Song, H Jiang, ... Advanced Electronic Materials 5 (9), 1900060, 2019 | 126 | 2019 |
| Low‐conductance and multilevel CMOS‐integrated nanoscale oxide memristors X Sheng, CE Graves, S Kumar, X Li, B Buchanan, L Zheng, S Lam, C Li, ... Advanced electronic materials 5 (9), 1800876, 2019 | 98 | 2019 |
John Paul StrachanDirector, Peter Grünberg Institute for Neuromorphic Compute Nodes; Professor RWTH AachenZweryfikowany adres z fz-juelich.de