| Role of interfacial oxide in high-efficiency graphene–silicon Schottky barrier solar cells Y Song, X Li, C Mackin, X Zhang, W Fang, T Palacios, H Zhu, J Kong Nano letters 15 (3), 2104-2110, 2015 | 472 | 2015 |
| Chemiresistive graphene sensors for ammonia detection C Mackin, V Schroeder, A Zurutuza, C Su, J Kong, TM Swager, T Palacios ACS applied materials & interfaces 10 (18), 16169-16176, 2018 | 125 | 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 | 61 | 2021 |
| 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 | 57 | 2019 |
| 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 | 52 | 2019 |
| A current–voltage model for graphene electrolyte-gated field-effect transistors C Mackin, LH Hess, A Hsu, Y Song, J Kong, JA Garrido, T Palacios IEEE Transactions on Electron Devices 61 (12), 3971-3977, 2014 | 50 | 2014 |
| Chemical sensor systems based on 2D and thin film materials C Mackin, A Fasoli, M Xue, Y Lin, A Adebiyi, L Bozano, T Palacios 2D Materials 7 (2), 022002, 2020 | 39 | 2020 |
| 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 | 39 | 2019 |
| Integrated biosensor platform based on graphene transistor arrays for real-time high-accuracy ion sensing M Xue, C Mackin, WH Weng, J Zhu, Y Luo, SXL Luo, AY Lu, M Hempel, ... Nature communications 13 (1), 5064, 2022 | 37 | 2022 |
| Weight programming in DNN analog hardware accelerators in the presence of NVM variability C Mackin, H Tsai, S Ambrogio, P Narayanan, A Chen, GW Burr Advanced Electronic Materials 5 (9), 1900026, 2019 | 30 | 2019 |
| 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 | 29 | 2023 |
| Large-scale sensor systems based on graphene electrolyte-gated field-effect transistors C Mackin, T Palacios Analyst 141 (9), 2704-2711, 2016 | 29 | 2016 |
| Optimised weight programming for analogue memory-based deep neural networks C Mackin, MJ Rasch, A Chen, J Timcheck, RL Bruce, N Li, P Narayanan, ... Nature communications 13 (1), 3765, 2022 | 28 | 2022 |
| Precision of bit slicing with in-memory computing based on analog phase-change memory crossbars M Le Gallo, SR Nandakumar, L Ciric, I Boybat, R Khaddam-Aljameh, ... Neuromorphic Computing and Engineering 2 (1), 014009, 2022 | 25 | 2022 |
| Noise-resilient DNN: Tolerating noise in PCM-based AI accelerators via noise-aware training S Kariyappa, H Tsai, K Spoon, S Ambrogio, P Narayanan, C Mackin, ... IEEE Transactions on Electron Devices 68 (9), 4356-4362, 2021 | 25 | 2021 |
| 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 | 24 | 2023 |
| Frequency response of graphene electrolyte-gated field-effect transistors C Mackin, E McVay, T Palacios Sensors 18 (2), 494, 2018 | 23 | 2018 |
| Toward software-equivalent accuracy on transformer-based deep neural networks with analog memory devices K Spoon, H Tsai, A Chen, MJ Rasch, S Ambrogio, C Mackin, A Fasoli, ... Frontiers in Computational Neuroscience 15, 675741, 2021 | 21 | 2021 |
| Rapid exploration of processing and design guidelines to overcome carbon nanotube variations G Hills, J Zhang, C Mackin, M Shulaker, H Wei, HSP Wong, S Mitra Proceedings of the 50th Annual Design Automation Conference, 1-10, 2013 | 21 | 2013 |
| Mushroom-type phase change memory with projection liner: An array-level demonstration of conductance drift and noise mitigation RL Bruce, SG Sarwat, I Boybat, CW Cheng, W Kim, SR Nandakumar, ... 2021 IEEE International Reliability Physics Symposium (IRPS), 1-6, 2021 | 18 | 2021 |
