| Neuromorphic spintronics J Grollier, D Querlioz, KY Camsari, K Everschor-Sitte, S Fukami, MD Stiles Nature electronics 3 (7), 360-370, 2020 | 818 | 2020 |
| Integer factorization using stochastic magnetic tunnel junctions WA Borders, AZ Pervaiz, S Fukami, KY Camsari, H Ohno, S Datta Nature 573 (7774), 390-393, 2019 | 502 | 2019 |
| Stochastic -Bits for Invertible Logic KY Camsari, R Faria, BM Sutton, S Datta Physical Review X 7 (3), 031014, 2017 | 390 | 2017 |
| Intrinsic optimization using stochastic nanomagnets B Sutton, KY Camsari, B Behin-Aein, S Datta Scientific reports 7 (1), 44370, 2017 | 265 | 2017 |
| Implementing p-bits with embedded MTJ KY Camsari, S Salahuddin, S Datta IEEE Electron Device Letters 38 (12), 1767-1770, 2017 | 200 | 2017 |
| P-bits for probabilistic spin logic KY Camsari, BM Sutton, S Datta Applied Physics Reviews 6 (1), 2019 | 148 | 2019 |
| Modular approach to spintronics KY Camsari, S Ganguly, S Datta Scientific reports 5 (1), 10571, 2015 | 131 | 2015 |
| Massively parallel probabilistic computing with sparse Ising machines NA Aadit, A Grimaldi, M Carpentieri, L Theogarajan, JM Martinis, ... Nature Electronics 5 (7), 2022 | 129 | 2022 |
| The promise of spintronics for unconventional computing G Finocchio, M Di Ventra, KY Camsari, K Everschor-Sitte, PK Amiri, ... Journal of Magnetism and Magnetic Materials 521, 167506, 2021 | 127 | 2021 |
| Low-barrier nanomagnets as p-bits for spin logic R Faria, KY Camsari, S Datta IEEE Magnetics Letters 8, 1-5, 2017 | 106 | 2017 |
| Hardware emulation of stochastic p-bits for invertible logic AZ Pervaiz, LA Ghantasala, KY Camsari, S Datta Scientific reports 7 (1), 10994, 2017 | 87 | 2017 |
| Low-barrier magnet design for efficient hardware binary stochastic neurons O Hassan, R Faria, KY Camsari, JZ Sun, S Datta IEEE Magnetics Letters 10, 1-5, 2019 | 83 | 2019 |
| Hardware-Aware In Situ Learning Based on Stochastic Magnetic Tunnel Junctions J Kaiser, WA Borders, KY Camsari, S Fukami, H Ohno, S Datta Physical Review Applied 17 (1), 014016, 2022 | 69 | 2022 |
| Implementing Bayesian networks with embedded stochastic MRAM R Faria, KY Camsari, S Datta AIP Advances 8 (4), 2018 | 69 | 2018 |
| Experimental demonstration of nanomagnet networks as hardware for Ising computing P Debashis, R Faria, KY Camsari, J Appenzeller, S Datta, Z Chen 2016 IEEE International Electron Devices Meeting (IEDM), 34.3. 1-34.3. 4, 2016 | 69 | 2016 |
| Weighted -Bits for FPGA Implementation of Probabilistic Circuits AZ Pervaiz, BM Sutton, LA Ghantasala, KY Camsari IEEE transactions on neural networks and learning systems 30 (6), 1920-1926, 2018 | 68 | 2018 |
| Low-energy deep belief networks using intrinsic sigmoidal spintronic-based probabilistic neurons R Zand, KY Camsari, SD Pyle, I Ahmed, CH Kim, RF DeMara Proceedings of the 2018 on Great Lakes Symposium on VLSI, 15-20, 2018 | 61 | 2018 |
| Scalable Emulation of Sign-Problem–Free Hamiltonians with Room-Temperature -bits KY Camsari, S Chowdhury, S Datta Physical Review Applied 12 (3), 034061, 2019 | 58* | 2019 |
| Composable probabilistic inference networks using MRAM-based stochastic neurons R Zand, KY Camsari, S Datta, RF DeMara ACM Journal on Emerging Technologies in Computing Systems (JETC) 15 (2), 1-22, 2019 | 58 | 2019 |
| Autonomous probabilistic coprocessing with petaflips per second B Sutton, R Faria, LA Ghantasala, R Jaiswal, KY Camsari, S Datta IEEE Access 8, 157238-157252, 2020 | 56 | 2020 |
