OpenAlex | Data-driven inverse modelling through neural network (deep learning) and computational heat transfer

Data-driven inverse modelling through neural network (deep learning) and computational heat transfer

Work

Year: 2020

Type: article

Abstract: In this work, the potential of carrying out inverse problems with linear and non-linear behaviour is investigated using deep learning methods. In inverse problems, the boundary conditions are determin... more

Source: Computer Methods in Applied Mechanics and Engineering

Authors Hamid Reza Tamaddon-Jahromi, Neeraj Kavan Chakshu, Igor Sazonov, Llion Marc Evans, Hywel Rhys Thomas +1 more

Institution Swansea University

Cites: 36

Cited by: 57

Related to: 10

FWCI: 4.444

Citation percentile (by year/subfield): 99.99

Topic: Model Reduction and Neural Networks

Subfield: Statistical and Nonlinear Physics

Field: Physics and Astronomy

Domain: Physical Sciences

Open Access status: hybrid

APC paid (est): $4,840

Funder Engineering and Physical Sciences Research Council

Grant ID EP/R012091/1