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
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
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
2013 50th ACM/EDAC/IEEE Design Automation Conference (DAC), 1-10, 2013
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
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
Large-scale sensor systems based on graphene electrolyte-gated field-effect transistors
C Mackin, T Palacios
Analyst 141 (9), 2704-2711, 2016
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
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
Frequency response of graphene electrolyte-gated field-effect transistors
C Mackin, E McVay, T Palacios
Sensors 18 (2), 494, 2018
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
T. s. Palacios, H. Zhu, J. Kong
Y Song, X Li, C Mackin, X Zhang, W Fang
Nano letters 15, 2104, 2015
Two-dimensional materials for ubiquitous electronics
H Wang, L Yu, X Zhang, B Mailly, C Mackin, J Kong, T Palacios
2013 IEEE MTT-S International Microwave Symposium Digest (MTT), 1-3, 2013
Accelerating deep neural networks with analog memory devices
K Spoon, S Ambrogio, P Narayanan, H Tsai, C Mackin, A Chen, A Fasoli, ...
2020 IEEE International Memory Workshop (IMW), 1-4, 2020
Sensor systems and related fabrication techniques
CE Mackin, TA Palacios
US Patent 10,871,466, 2020
Electrolyte-gated graphene field-effect transistors: modeling and applications
CE Mackin
Massachusetts Institute of Technology, 2014
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
Optimization of Analog Accelerators for Deep Neural Networks Inference
A Fasoli, S Ambrogio, P Narayanan, H Tsai, C Mackin, K Spoon, A Friz, ...
2020 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2020
Neuromorphic Computing with Phase Change, Device Reliability, and Variability Challenges
C Mackin, P Narayanan, S Ambrogio, H Tsai, K Spoon, A Fasoli, A Chen, ...
2020 IEEE International Reliability Physics Symposium (IRPS), 1-10, 2020
Accelerating Deep Neural Networks with Analog Memory Devices
S Ambrogio, P Narayanan, H Tsai, C Mackin, K Spoon, A Chen, A Fasoli, ...
2020 2nd IEEE International Conference on Artificial Intelligence Circuits …, 2020
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