AI4SurrogatesMesoScale issueshttps://code.ornl.gov/7ml/ai4surrogatesmesoscale/-/issues2021-07-22T13:05:24Zhttps://code.ornl.gov/7ml/ai4surrogatesmesoscale/-/issues/3Check on non-linear terms of the lattice prediction in CALPHAD2021-07-22T13:05:24ZLupo Pasini, MassimilianoCheck on non-linear terms of the lattice prediction in CALPHAD- use optimized lattice parameter for two separate atom types A, B from data about unary alloys to reconstruct the lattice parameter for the binary A-B using a linear mixing
- include effective parameters (descriptors) to improve the pr...- use optimized lattice parameter for two separate atom types A, B from data about unary alloys to reconstruct the lattice parameter for the binary A-B using a linear mixing
- include effective parameters (descriptors) to improve the prediction of the DL modelLupo Pasini, MassimilianoLupo Pasini, Massimilianohttps://code.ornl.gov/7ml/ai4surrogatesmesoscale/-/issues/1Checks for CALPHAD dataset Cr-Co-Fe-Mn-Ni2021-07-12T15:32:40ZLupo Pasini, MassimilianoChecks for CALPHAD dataset Cr-Co-Fe-Mn-Ni- use Linear Regression to map composition -> lattice parameter
- use single headed Neural Network to map composition -> lattice parameter
- compare the predictive performance between Linear Regression and Neural Network to map compositi...- use Linear Regression to map composition -> lattice parameter
- use single headed Neural Network to map composition -> lattice parameter
- compare the predictive performance between Linear Regression and Neural Network to map composition -> lattice parameter