Charles Mackin
Charles Mackin
IBM Research, MIT
Verified email at - Homepage
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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
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
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
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
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
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
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
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
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
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
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
Large-scale sensor systems based on graphene electrolyte-gated field-effect transistors
C Mackin, T Palacios
Analyst 141 (9), 2704-2711, 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
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
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
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
Frequency response of graphene electrolyte-gated field-effect transistors
C Mackin, E McVay, T Palacios
Sensors 18 (2), 494, 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
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
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
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