Data-driven solutions of ill-posed inverse problems arising from doping reconstruction in semiconductors

arXiv2208.00742MaRDI QIDQ6406631

Luca Heltai, Stefano Piani, Patricio Farrell, Nella Rotundo, Wenyu Lei

Publication date: 1 August 2022

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Numerical methods for inverse problems for boundary value problems involving PDEs (65N21) PDEs in connection with semiconductor devices (35Q81)

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