Quantum Materials for Neuromorphic Computing
INVITED · Q42 · ID: 1850062
Presentations
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Outlook for Full Hardware Implementation of Neuromorphic Architectures Using Quantum Materials
ORAL · Invited
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Publication: [1] Challenges in Materials and Devices for Resistive-Switching-Based Neuromorphic Computing, J. del Valle, J-G. Ramírez, M. J. Rozenberg, I. K. Schuller, J. App. Phys. 124, 211101 (2018). doi.org/10.1063/1.5047800
[2] Preface to Special Topic: New Physics and Materials for Neuromorphic Computation, J. Grollier, S. Guha, H. Ohno, I. K. Schuller, J. App Phys. 124, 151801 (2018). doi.org/10.1063/1.5063776
[3] Neuromorphic computing: Challenges from quantum materials to emergent connectivity, I. K. Schuller, A. Frano, R. C. Dynes, A. Hoffmann, B. Noheda, C. Schuman, A. Sebastian, and J. Shen, Appl. Phys. Lett. 120, 140401 (2022) doi.org/10.1063/5.0092382
[4] Thermal Management in Neuromorphic Materials, Devices, and Networks, F. Torres, A. C. Basaran, I. K. Schuller, Advanced Materials, e2205098, (2022) doi.org/10.1002/adma.202205098Presenters
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IVAN K SCHULLER
University of California, San Diego
Authors
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IVAN K SCHULLER
University of California, San Diego
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Non-Volatile Memory Effects in Transition Metal Oxides
ORAL · Invited
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Publication: [1] Vardi, N., Anouchi, E., Yamin, T., Middey, S., Kareev, M., Chakhalian, J., Dubi, Y., & Sharoni, A. (2017). Ramp-Reversal Memory and Phase-Boundary Scarring in Transition Metal Oxides. Advanced Materials, 29, 1605029. https://doi.org/10.1002/adma.201605029
[2] Anouchi, E., Vardi, N., Kalcheim, Y., Schuller, I. K., & Sharoni, A. (2022). Universality and microstrain origin of the ramp reversal memory effect. Physical Review B, 106, 205145. https://doi.org/10.1103/PhysRevB.106.205145
[3] Fried, A., Tagouri-Cohen, G., & Sharoni, A. (2023). Role of grain size and substrate epitaxial matching in defining the properties of the Ramp Reversal Memory. Phys. Rev. B., under review
[4] Anouchi, E., Fried, A., & Sharoni, A. Writing and erasing speeds of the Ramp Reversal Memory - indicating ion motion as the memory source. Under preparation.Presenters
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Amos Sharoni
Bar Ilan University
Authors
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Amos Sharoni
Bar Ilan University
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Elihu Anouchi
Bar-Ilan Univeristy
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Avital Fried
Bar-Ilan University
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Imaging Metal-Insulator Patterns in VO<sub>2</sub> for Neuromorphic Computing
ORAL · Invited
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Presenters
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Alexandre Zimmers
ESPCI PSL-Sorbonne University
Authors
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Alexandre Zimmers
ESPCI PSL-Sorbonne University
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First-principles calculations of the structural and electronic properties of cobaltites for neuromorphic applications
ORAL · Invited
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Publication: [1] Chiu, I.-T. et al., Phys. Rev. Mater. 5, 064416 (2021). [2] Zhang, S. & Galli, G., npj Comput. Mater. 6, 170 (2020). [3] Zhang, S., Vo, H. & Galli, G., Chem. Mater. 33, 3187–3195 (2021). [4] Zhang, S et al., Chem. Mater. 34, 2076-2084 (2022). [5] Zhang, S and Galli, G., (2023), in preparation.
Presenters
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Shenli Zhang
University of Chicago
Authors
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Shenli Zhang
University of Chicago
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Giulia Galli
University of Chicago
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I-Ting Chiu
University of California, Davis
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Min-Han Lee
Applied Materials
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Brandon Gunn
University of California, San Diego
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Mingzhen Feng
University of California, Davis, University of California Davis, University of Calilfornia, Davis
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Tae Joon Park
Purdue University
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Padraic Shafer
Lawrence Berkeley National Lab, Lawrence Berkeley National Laboratory, Brookhaven National Laboratory, University of California, Davis
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Alpha T N'Diaye
Lawrence Berkeley National Lab, Lawrence Berkeley National Laboratory
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Fanny M Rodolakis
Argonne National Laboratory
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Shriram Ramanathan
Rutgers University
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Alex Frano
University of California, San Diego
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IVAN K SCHULLER
University of California, San Diego
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Yayoi Takamura
University of California, Davis
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