Large-Scale Statistical Learning for Mass Transport Prediction in Porous Materials Using 90,000 Artificially Generated Microstructures
Journal article, 2021
virtual materials testing
porous materials
diffusivity
structure-property relationship
mass transport
deep learning
permeability
Author
Benedikt Prifling
University of Ulm
Magnus Röding
Chalmers, Mathematical Sciences, Applied Mathematics and Statistics
RISE Research Institutes of Sweden
Philip Townsend
RISE Research Institutes of Sweden
Chalmers, Mathematical Sciences, Applied Mathematics and Statistics
Matthias Neumann
University of Ulm
Volker Schmidt
University of Ulm
Frontiers in Materials
22968016 (eISSN)
Vol. 8 786502Subject Categories
Bioinformatics (Computational Biology)
Metallurgy and Metallic Materials
Computer Systems
DOI
10.3389/fmats.2021.786502