Work

Error estimates of physics-informed neural networks for approximating Boltzmann equations

Year: 2025

Type: article

Source: IMA Journal of Numerical Analysis

DOI: 10.1093/imanum/draf142

Authors: Elie Abdo, Lihui Chai, Ruimeng Hu, Xu Yang

Institutions: American University of Beirut, Sun Yat-sen University, University of California, Santa Barbara

Language: English

Topic: Model Reduction and Neural Networks

Subfield: Statistical and Nonlinear Physics

Field: Physics and Astronomy

Domain: Physical Sciences

Open Access status: closed

Funders: National Science Foundation, Simons Foundation, National Natural Science Foundation of China, National Key Research and Development Program of China, Office of Naval Research

Awards: G4199623908, G4200704639, Bridging the Mathematical Analysis and Reconstruction Algorithms for Transmission and Reflection Seismic Tomography, G7150379904, AMPS: Optimal Dispatch, Ancillary Services Bidding and Strategic Interactions of Battery Energy Storage in Modern Power Grids, G8884089569

OpenAlex ID: W7140925584

FWCI:

Cites: 41

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