Work

From PINNs to PIKANs: recent advances in physics-informed machine learning

Year: 2025

Type: article

Source: Machine learning for computational science and engineering

DOI: 10.1007/s44379-025-00015-1

Authors: Juan Diego Toscano, Vivek Oommen, Alan John Varghese, Zongren Zou, Nazanin Ahmadi Daryakenari, Chenxi Wu, George Em Karniadakis

Institution: Brown University

Language: English

Topic: Model Reduction and Neural Networks

Subfield: Statistical and Nonlinear Physics

Field: Physics and Astronomy

Domain: Physical Sciences

Open Access status: green

Funders: U.S. Department of Defense, U.S. Department of Energy, National Institutes of Health, Air Force Office of Scientific Research

Awards: G2072716033, G3303525004, THE NEXT GENERATION OF OPERATOR REGRESSION NETWORKS: THEORY, ALGORITHMS, APPLICATIONS, G9000212529

OpenAlex ID: W4408339746

FWCI: 101.9

Cites: 343

Cited by: 239

Related to: 10