| Equivalent-accuracy accelerated neural-network training using analogue memory S Ambrogio, P Narayanan, H Tsai, RM Shelby, I Boybat, C Di Nolfo, ... Nature 558 (7708), 60-67, 2018 | 1093 | 2018 |
| Chemoepitaxy etch trim using a self aligned hard mask for metal line to via M Brink, MA Guillorn, CH Lin, H Tsai US Patent 9,646,883, 2017 | 462 | 2017 |
| Confining light to deep subwavelength dimensions to enable optical nanopatterning TL Andrew, HY Tsai, R Menon Science 324 (5929), 917-921, 2009 | 289 | 2009 |
| Recent progress in analog memory-based accelerators for deep learning H Tsai, S Ambrogio, P Narayanan, RM Shelby, GW Burr Journal of Physics D: Applied Physics 51 (28), 283001, 2018 | 221 | 2018 |
| Two-Dimensional Pattern Formation Using Graphoepitaxy of PS-b-PMMA Block Copolymers for Advanced FinFET Device and Circuit Fabrication H Tsai, JW Pitera, H Miyazoe, S Bangsaruntip, SU Engelmann, CC Liu, ... ACS nano 8 (5), 5227-5232, 2014 | 179 | 2014 |
| Absorbance-modulation optical lithography R Menon, HI Smith JOSA A 23 (9), 2290-2294, 2006 | 119 | 2006 |
| Large-scale plasmonic microarrays for label-free high-throughput screening TY Chang, M Huang, AA Yanik, HY Tsai, P Shi, S Aksu, MF Yanik, H Altug Lab on a Chip 11 (21), 3596-3602, 2011 | 112 | 2011 |
| Directed self-assembly of block copolymers for 7 nanometre FinFET technology and beyond CC Liu, E Franke, Y Mignot, R Xie, CW Yeung, J Zhang, C Chi, C Zhang, ... Nature Electronics 1 (10), 562-569, 2018 | 110 | 2018 |
| Fully on-chip MAC at 14 nm enabled by accurate row-wise programming of PCM-based weights and parallel vector-transport in duration-format P Narayanan, S Ambrogio, A Okazaki, K Hosokawa, H Tsai, A Nomura, ... IEEE Transactions on Electron Devices 68 (12), 6629-6636, 2021 | 74 | 2021 |
| An analog-AI chip for energy-efficient speech recognition and transcription S Ambrogio, P Narayanan, A Okazaki, A Fasoli, C Mackin, K Hosokawa, ... Nature 620 (7975), 768-775, 2023 | 66 | 2023 |
| Reducing the impact of phase-change memory conductance drift on the inference of large-scale hardware neural networks S Ambrogio, M Gallot, K Spoon, H Tsai, C Mackin, M Wesson, ... 2019 IEEE International Electron Devices Meeting (IEDM), 6.1. 1-6.1. 4, 2019 | 65 | 2019 |
| Confined PCM-based analog synaptic devices offering low resistance-drift and 1000 programmable states for deep learning W Kim, RL Bruce, T Masuda, GW Fraczak, N Gong, P Adusumilli, ... 2019 Symposium on VLSI Technology, T66-T67, 2019 | 61 | 2019 |
| Far-field generation of localized light fields using absorbance modulation R Menon, HY Tsai, SW Thomas III Physical Review Letters 98 (4), 043905, 2007 | 57 | 2007 |
| Hardware-aware training for large-scale and diverse deep learning inference workloads using in-memory computing-based accelerators MJ Rasch, C Mackin, M Le Gallo, A Chen, A Fasoli, F Odermatt, N Li, ... Nature communications 14 (1), 5282, 2023 | 56 | 2023 |
| AI hardware acceleration with analog memory: Microarchitectures for low energy at high speed HY Chang, P Narayanan, SC Lewis, NCP Farinha, K Hosokawa, ... IBM Journal of Research and Development 63 (6), 8: 1-8: 14, 2019 | 56 | 2019 |
| Capacitor-based cross-point array for analog neural network with record symmetry and linearity Y Li, S Kim, X Sun, P Solomon, T Gokmen, H Tsai, S Koswatta, Z Ren, ... 2018 IEEE Symposium on VLSI Technology, 25-26, 2018 | 56 | 2018 |
| Design of diffractive lenses that generate optical nulls without phase singularities R Menon, P Rogge, HY Tsai JOSA A 26 (2), 297-304, 2009 | 46 | 2009 |
| Inference of long-short term memory networks at software-equivalent accuracy using 2.5 M analog phase change memory devices H Tsai, S Ambrogio, C Mackin, P Narayanan, RM Shelby, K Rocki, ... 2019 Symposium on VLSI Technology, T82-T83, 2019 | 42 | 2019 |
| Sub-30 nm pitch line-space patterning of semiconductor and dielectric materials using directed self-assembly HY Tsai, H Miyazoe, S Engelmann, B To, E Sikorski, J Bucchignano, ... Journal of Vacuum Science & Technology B 30 (6), 2012 | 42 | 2012 |
| Perspective on training fully connected networks with resistive memories: Device requirements for multiple conductances of varying significance G Cristiano, M Giordano, S Ambrogio, LP Romero, C Cheng, ... Journal of Applied Physics 124 (15), 2018 | 40 | 2018 |
