Open AccessShallow neural networks to predict glass transition, crystallization and liquidus temperature of iron-based metallic glasses
Author(s) -
Kirsten Bobzin,
Wolfgang Wietheger,
L.M. Johann
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1147/1/012012
Subject(s) - liquidus , amorphous metal , differential scanning calorimetry , crystallization , glass transition , amorphous solid , materials science , alloy , thermodynamics , casting , artificial neural network , metallurgy , chemistry , machine learning , physics , computer science , composite material , crystallography , polymer