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Reconfigurable Electronic Materials Inspired by Nonlinear Neuron Dynamics

Texas A&M University College of Engineering

Alec Talin

Sandia National Lab
(Co-Lead Thrust 3)

aatalin@sandia.gov

Talin is a Distinguished Member of the Technical Staff at Sandia National Laboratories, an Adjunct Associate Professor of Materials Science at the University of Maryland, College Park, and a Fellow of the American Physical Society.

Research

Talin pioneered the concept of emergent electronic conductivity in Guest@MOF systems and demonstrated the first battery-inspired ion-tunable electronics for analog neuromorphic computing using organic and inorganic insertion materials. As part of reMIND, Talin leads efforts to establish neuron—synapse—interconnect reconfigurability across Thrusts 2 and 3.

Publications

  1. Y. Li, T. P. Xiao, C. H. Bennett, E. Isele, A. Melianas, H. Tao, M. J. Marinella, A. Salleo, E. J. Fuller, A. A. Talin (2021) “In situ Parallel Training of Analog Neural Network Using Electrochemical Random-Access Memory”, Frontiers in Neuroscience 15, 636127. doi: 10.3389/fnins.2021.636127
  2. Y. Li, E. J. Fuller, J. D. Sugar, S. Yoo, D. S. Ashby, C. H. Bennett, R. D. Horton, M. S. Bartsch, M. J. Marinella, W. D. Lu, A. A. Talin, (2020)“Filament-free bulk resistive memory enables deterministic analogue switching”, Adv. Materials 32, 2070339. doi: 10.1002/adma.202003984
  3. Y. Li, E. J. Fuller, S. Asapu, S. Agarwal, T. Kurita, J. J. Yang, A. A. Talin, “Low-voltage, CMOS-free synaptic memory based on LiXTiO2 redox transistors” (2019) ACS Appl. Mat. Interfaces 11, 38982. doi: 10.1021/acsami.9b14338
  4. E. J. Fuller, S. T. Keene, A. Melianas, Z. Wang, S. Agarwal, Y. Li, Y. Tuchman, C. D. James, M. J. Marinella, J. J. Yang, A. Salleo, and A. A. Talin, (2019) “Parallel programming of an ionic floating-gate memory array for scalable neuromorphic computing”, Science 364, 570. doi: 10.1126/science.aaw5581
  5. E. J. Fuller, F. El Gabaly, F. Léonard, S. Agarwal, S. J. Plimpton, R. B. Jacobs-Gedrim, C. D. James, M. J. Marinella and A. A. Talin, (2017) “Li-ion synaptic transistor for low power analog computing”, Advanced Materials 29, 1604310. doi: 10.1002/adma.201604310

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