Halide Perovskite Memristors for Neuromorphic Computing and Hardware Security
Rohit Abraham John a b c
a NTU Singapore - Nanyang Technological University, School of Materials Science and Engineering, Nanyang Avenue, 50, Singapore, Singapore
b Department of Chemistry and Applied Bioscience, ETH Zürich, CH-8093 Switzerland, Vladimir-Prelog-Weg, 1, Zürich, Switzerland
c Laboratory for Thin Films and Photovoltaics, Empa − Swiss Federal Laboratories for Materials Science and Technology, Ueberlandstrasse, 129, Dübendorf, Switzerland
Proceedings of International Conference on Perovskite Memristors and Electronics 2021 (ICPME2021)
Online, Spain, 2021 December 13th - 14th
Organizers: Ho Won Jang and Ankur Solanki
Invited Speaker, Rohit Abraham John, presentation 002
DOI: https://doi.org/10.29363/nanoge.icpme.2021.002
Publication date: 1st December 2021

In this talk, I will cover our investigations on halide perovskite memristors for computing and hardware security. The first part of the talk will focus on designing diffusive and drift halide perovskite memristive barristors as nociceptive and synaptic emulators for neuromorphic computing [1]. Here, we will discuss the role of interfaces that play pivotal roles in determining the switching characteristics of perovskite memristors, demonstrations of nociceptors and synapses using halide perovskite memristors and their integration with robotics for in-sensory computing. In the second part of the talk, we will discuss the use case of perovskite memristors for Physical Unclonable Functions (PUFs)- a security primitive exploiting the switching physics of one-dimensional halide perovskites as excellent sources of entropy for secure key generation and device authentication [2].

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