| Training deep convolutional neural networks with resistive cross-point devices T Gokmen, M Onen, W Haensch Frontiers in neuroscience 11, 538, 2017 | 181 | 2017 |
| Protonic solid-state electrochemical synapse for physical neural networks X Yao, K Klyukin, W Lu, M Onen, S Ryu, D Kim, N Emond, I Waluyo, ... Nature communications 11 (1), 3134, 2020 | 145 | 2020 |
| IEEE International Electron Devices Meeting (IEDM) W Kim, T Todorov, M Onen, T Gokmen, D Bishop, P Solomon, KT Lee, ... San Francisco, CA, USA, 38.3, 2019 | 139 | 2019 |
| Recent advances and future prospects for memristive materials, devices, and systems MK Song, JH Kang, X Zhang, W Ji, A Ascoli, I Messaris, AS Demirkol, ... ACS nano 17 (13), 11994-12039, 2023 | 106 | 2023 |
| Nanosecond protonic programmable resistors for analog deep learning M Onen, N Emond, B Wang, D Zhang, FM Ross, J Li, B Yildiz, ... Science 377 (6605), 539-543, 2022 | 85 | 2022 |
| Metal-oxide based, CMOS-compatible ECRAM for Deep Learning Accelerator S Kim, T Todorov, M Onen, T Gokmen, D Bishop, P Solomon, KT Lee, ... IEDM 2019, 2019 | 77 | 2019 |
| Electrochemical ionic synapses: progress and perspectives M Huang, M Schwacke, M Onen, J Del Alamo, J Li, B Yildiz Advanced Materials 35 (37), 2205169, 2023 | 47 | 2023 |
| CMOS-compatible protonic programmable resistor based on phosphosilicate glass electrolyte for analog deep learning M Onen, N Emond, J Li, B Yildiz, JA Del Alamo Nano Letters 21 (14), 6111-6116, 2021 | 42 | 2021 |
| Neural Network Training with Asymmetric Crosspoint Elements M Onen, T Gokmen, TK Todorov, T Nowicki, JA Del Alamo, J Rozen, ... Frontiers in Artificial Intelligence 5, 2022 | 22 | 2022 |
| Self-heating hotspots in superconducting nanowires cooled by phonon black-body radiation A Dane, J Allmaras, D Zhu, M Onen, M Colangelo, R Baghdadi, ... Nature Communications 13 (1), 5429, 2022 | 21 | 2022 |
| A scalable superconducting nanowire memory cell and preliminary array test BA Butters, R Baghdadi, M Onen, EA Toomey, O Medeiros, KK Berggren Superconductor Science and Technology 34 (3), 035003, 2021 | 19 | 2021 |
| Bridging the gap between nanowires and josephson junctions: a superconducting device based on controlled fluxon transfer E Toomey, M Onen, M Colangelo, BA Butters, AN McCaughan, ... Physical review applied 11 (3), 034006, 2019 | 19 | 2019 |
| Superconducting Nanowire-Based Programmable Processor M Onen, BA Butters, E Toomey, KK Berggren US Patent WO/2019/152,909, 2019 | 11* | 2019 |
| Int. Electron Devices Meeting (IEDM) M Onen, J Li, B Yildiz, JA Del Alamo IEEE, San Francisco, CA 2 (1), 2022 | 10 | 2022 |
| Design and characterization of superconducting nanowire-based processors for acceleration of deep neural network training M Onen, BA Butters, E Toomey, T Gokmen, KK Berggren Nanotechnology 31 (2), 025204, 2019 | 10 | 2019 |
| Update Management for RPU Array T Gokmen, OM Önen US Patent App. 15/842,724, 2018 | 8 | 2018 |
| Noise and Bound Management for RPU Array T Gokmen, OM Onen US Patent App. 15/838,992, 2018 | 7 | 2018 |
| Single-Photon Single-Flux Coupled Detectors M Onen, M Turchetti, BA Butters, MR Bionta, PD Keathley, KK Berggren Nano Letters 20 (1), 664-668, 2019 | 5 | 2019 |
| Dynamics of PSG-based nanosecond protonic programmable resistors for analog deep learning M Onen, J Li, B Yildiz, JA Del Alamo 2022 International Electron Devices Meeting (IEDM), 2.6. 1-2.6. 4, 2022 | 4 | 2022 |
| Calculating the band structure of 3C-SiC using sp3d5s* + ∆ model M Onen, M Turchetti Journal of Theoretical and Applied Physics 13, 1-6, 2019 | 4 | 2019 |
Tayfun GokmenPrinceton University, IBM T. J. Watson Research CenterE-mail confirmado em us.ibm.com