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Automatic Differentiation for Inverse Problems with Applications in Quantum Transport

Authors :
Williams, Ivan
Polizzi, Eric
Publication Year :
2023

Abstract

A neural solver and differentiable simulation of the quantum transmitting boundary model is presented for the inverse quantum transport problem. The neural solver is used to engineer continuous transmission properties and the differentiable simulation is used to engineer current-voltage characteristics.<br />Comment: 7 pages, 5 figures

Subjects

Subjects :
Computer Science - Machine Learning
Computer Science - Computational Engineering, Finance, and Science
Physics - Computational Physics

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2307.09311
Document Type :
Working Paper

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