Work

Scientific Machine Learning (SciML) - How the Fusion of AI and Physics is Giving Rise to Promising Simulation Methodologies

Year: 2025

Type: conference-paper

Source: International Conference on Simulation of Semiconductor Processes and Devices

DOI: 10.1109/sispad66650.2025.11186115

Authors: Andreas Rosskopf, Xuepeng Cheng, Christopher Straub, Daniel Tenbrinck

Institutions: Fraunhofer Institute for Integrated Systems and Device Technology, Friedrich-Alexander-Universität Erlangen-Nürnberg

Language: English

Topic: Model Reduction and Neural Networks

Subfield: Statistical and Nonlinear Physics

Field: Physics and Astronomy

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W4415625197

FWCI: 2.252

Cites: 12

Cited by: 1

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