Photoinduced Negative Differential Resistance at a Graphene/Silicon Interface: A Nonadiabatic Quantum Molecular Dynamics Study
Source abstract
Abstract
The oscillatory retinal neuron (ORN) is a promising technology for achieving in-sensor cognitive image computing without external power. While its operation is based on photoinduced negative differential resistance (NDR) at a graphene/silicon interface to directly convert the incident optical signal into voltage oscillations, the optoelectronic mechanism of the NDR remains elusive. Here, nonadiabatic quantum molecular dynamics simulations show that the interplay of band alignment and charge transfer rates of photoexcited carriers at varying applied voltages gives rise to NDR at a graphene/silicon interface under illumination. Such intrinsic NDR at an interface, along with extrinsic circuit-level factors, could enable the much needed rational design of desired image computing functionality of ORN devices in the era of ubiquitous AI on edge devices.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Photoreceptor and optogenetics research · Advanced Memory and Neural Computing · Neural Networks and Reservoir Computing
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Collaboratory for Advanced Computing and Simulation, University of Southern California, Los Angeles, California 90089-0242, United States
Department of Physics, Kumamoto University, Kumamoto 860-8555, Japan
Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, California 90089-2560, United States
Funding
Division of Electrical, Communications and Cyber Systems · Division of Civil, Mechanical and Manufacturing Innovation
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