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Samuel Liu
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A domain wall-magnetic tunnel junction artificial synapse with notched geometry for accurate and efficient training of deep neural networks
S Liu, TP Xiao, C Cui, JAC Incorvia, CH Bennett, MJ Marinella
Applied Physics Letters 118 (20), 202405, 2021
432021
Fabrication of long-range ordered aluminum oxide and Fe/Au multilayered nanowires for 3-D magnetic memory
J Um, MRZ Kouhpanji, S Liu, ZN Porshokouh, SY Sung, J Kosel, B Stadler
IEEE Transactions on Magnetics 56 (2), 1-6, 2020
412020
Metaplastic and energy-efficient biocompatible graphene artificial synaptic transistors for enhanced accuracy neuromorphic computing
D Kireev, S Liu, H Jin, T Patrick Xiao, CH Bennett, D Akinwande, ...
Nature Communications 13 (1), 4386, 2022
402022
Shape‐Dependent Multi‐Weight Magnetic Artificial Synapses for Neuromorphic Computing
T Leonard, S Liu, M Alamdar, H Jin, C Cui, OG Akinola, L Xue, TP Xiao, ...
Advanced Electronic Materials 8 (12), 2200563, 2022
342022
Controllable reset behavior in domain wall–magnetic tunnel junction artificial neurons for task-adaptable computation
S Liu, CH Bennett, JS Friedman, MJ Marinella, D Paydarfar, JAC Incorvia
IEEE Magnetics Letters 12, 1-5, 2021
142021
Bayesian neural networks using magnetic tunnel junction-based probabilistic in-memory computing
S Liu, TP Xiao, J Kwon, BJ Debusschere, S Agarwal, JAC Incorvia, ...
Frontiers in Nanotechnology 4, 1021943, 2022
132022
Stochastic domain wall-magnetic tunnel junction artificial neurons for noise-resilient spiking neural networks
T Leonard, S Liu, H Jin, JAC Incorvia
Applied Physics Letters 122 (26), 2023
112023
Random bitstream generation using voltage-controlled magnetic anisotropy and spin orbit torque magnetic tunnel junctions
S Liu, J Kwon, PW Bessler, SG Cardwell, C Schuman, JD Smith, ...
IEEE Journal on Exploratory Solid-State Computational Devices and Circuits 8 …, 2022
102022
Adaptive cognition implemented with a context-aware and flexible neuron for next-generation artificial intelligence
P Jadaun, C Cui, S Liu, JAC Incorvia
PNAS nexus 1 (5), pgac206, 2022
82022
Magnetic skyrmions and domain walls for logical and neuromorphic computing
X Hu, C Cui, S Liu, F Garcia-Sanchez, WH Brigner, BW Walker, ...
Neuromorphic Computing and Engineering 3 (2), 022003, 2023
62023
Parallel Matrix Multiplication Using Voltage Controlled Magnetic Anisotropy Domain Wall Logic
N Zogbi, S Liu, CH Bennett, S Agarwal, MJ Marinella, JAC Incorvia, ...
IEEE Journal on Exploratory Solid-State Computational Devices and Circuits, 2023
4*2023
Probabilistic Neural Circuits leveraging AI-Enhanced Codesign for Random Number Generation
SG Cardwell, CD Schuman, JD Smith, K Patel, J Kwon, S Liu, C Allemang, ...
2022 IEEE International Conference on Rebooting Computing (ICRC), 57-65, 2022
22022
Efficient domain wall motion in asymmetric magnetic tunnel junctions with vertical current flow
S Liu, DJP de Sousa, M Sammon, JP Wang, T Low
Journal of Magnetism and Magnetic Materials 549, 168949, 2022
22022
Device Codesign using Reinforcement Learning and Evolutionary Optimization
C Schuman, SG Cardwell, KP Patel, JD Smith, J Arzate, A Maicke, S Liu, ...
Machine Learning with New Compute Paradigms, 2023
12023
Graphene-Based Artificial Dendrites for Bio-Inspired Learning in Spiking Neuromorphic Systems
S Liu, D Akinwande, D Kireev, JAC Incorvia
arXiv preprint arXiv:2310.02364, 2023
12023
Creating stochastic neural networks with the help of probabilistic bits
S Liu, JAC Incorvia
Nature Electronics 6 (12), 935-936, 2023
2023
Magnetic Tunnel Junction Random Number Generators Applied to Dynamically Tuned Probability Trees Driven by Spin Orbit Torque
A Maicke, J Arzate, S Liu, J Kwon, JD Smith, JB Aimone, S Misra, ...
arXiv preprint arXiv:2311.16345, 2023
2023
Tunable nanomagnetic synapses implement hardware variational inference engines
CH Bennett, TP Xiao, S Liu, N Zogbi, A Maicke, T Leonard, J Pillars, ...
Spintronics XVI, PC1265614, 2023
2023
Fabrication of Domain Wall based Magnetic Tunnel Junction Devices with Intrinsic Neuromorphic Functionality
T Leonard, S Liu, H Jin, JS Friedman, C Bennett, JA Incorvia
2023 IEEE 34th Magnetic Recording Conference (TMRC), 1-2, 2023
2023
Probabilistic Nanomagnetic Memories for Uncertain and Robust Machine Learning
CH Bennett, TP Xiao, S Liu, L Humphrey, JA Incorvia, BJ Debusschere, ...
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2022
2022
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