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
- 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
- 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
- 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
- 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
- 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