📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Hyperparameter selection for physics-informed neural networks (PINNs) - Application to discontinuous heat conduction problems (2023)

First Author: Sharma P

Attributed to: Inline virtual qualification from 3D X-ray imaging for high-value manufacturing funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1080/10407790.2023.2264489

Publication URI: http://dx.doi.org/10.1080/10407790.2023.2264489

Type: Journal Article/Review

Parent Publication: Numerical Heat Transfer, Part B: Fundamentals