Search Results - "physics-embedded algorithm structure"

Physics-informed machine learning in prognostics and health management: State of the art and challenges: Physics-informed machine learning in prognostics and health management: state of the art and challenges

Authors: Deng, Weikun Nguyen, Khanh T.P. Medjaher, Kamal et al.

Contributors: Deng, Weikun Nguyen, Khanh T.P. Medjaher, Kamal et al.

Source: Applied Mathematical Modelling. 124:325-352

Subject Terms: Artificial intelligence, knowledge, physics-informed machine learning, Numerical methods for partial differential equations, boundary value problems, Physics-embedded algorithm structure, [SPI.MAT] Engineering Sciences [physics]/Materials, prognostics and health management, Physics-informed machine learning, Prognostics and health management, physics-informed input space, Physics-informed input space, physics-constraint learning, physics-embedded algorithm structure, Physics-constraint learning, Numerical methods for partial differential equations, initial value and time-dependent initial-boundary value problems

File Description: application/xml; application/pdf

Access URL: https://zbmath.org/8023859
https://doi.org/10.1016/j.apm.2023.07.011
https://hal.science/hal-04290849v1
https://doi.org/10.1016/j.apm.2023.07.011
https://hal.science/hal-04290849v1/document