Combining thermodynamics with tensor completion techniques to enable multicomponent microstructure prediction -- codes

Published: 18 December 2019| Version 1 | DOI: 10.17632/tjm3yjs3pc.1
Contributors:
Nele Moelans,
, Nico Vervliet, Lieven Delathauwer

Description

This dataset contains the codes and input data used to generate the results presented in the paper "Combining thermodynamics with tensor completion techniques to enable multicomponent microstructure prediction", Yuri Amorim Coutinho, Nico Vervliet, Lieven De Lathauwer, Nele Moelans", in npj Computational Materials (doi: 10.1038/s41524-019-0268-y). The codes assume the use of MATLAB in combination with the TC toolbox (ThermoCalc) and Tensorlab (https://www.tensorlab.net/). You can find more information in the readme.txt scripts included in the dataset.

Files

Steps to reproduce

see readme.txt in datafiles

Institutions

Associatie KU Leuven

Categories

Alloy, Non-Equilibrium Thermodynamics, Computational Materials Science, Microstructure, Phase Field Model, Spinodal Decomposition, Decomposition, Tensor

Licence