Deep Learning in Computational Physics

Many problems in computational physics involve solving high-dimensional (local/nonlocal) partial differential equations. The aim of this WP is to extend the results obtained in WP 1.2 to construct DL-based PINN simulators for challenging computational physics problems for example in electromagnetic and optical modelling in medical imaging. There are still many practical and theoretical issues to be settled in order to establish it as a routine tool and this WP will make use of the results in the earlier WPs to achieve this.

Get in Touch!

To subscribe to the mailing list

Send an email request