Supplemental material
Science and Technology of Advanced Materials
Volume 21, 2020 - Issue 1
New topics/Others
Prediction of viscosity behavior in oxide glass materials using cation fingerprints with artificial neural networks
Jaekyun Hwanga Department of Materials Engineering, The University of Tokyo, Tokyo, JapanCorrespondence[email protected]
https://orcid.org/0000-0002-1792-0044View further author information
https://orcid.org/0000-0002-1792-0044View further author information, Yuta Tanakab Department of Physics, The University of Tokyo, Tokyo, Japanhttps://orcid.org/0000-0002-9566-5595View further author information
https://orcid.org/0000-0002-9566-5595View further author information, Seiichiro Ishinoc Institute of Industrial Science, The University of Tokyo, Tokyo, Japanhttps://orcid.org/0000-0001-9884-2588View further author information
https://orcid.org/0000-0001-9884-2588View further author information & Satoshi Watanabea Department of Materials Engineering, The University of Tokyo, Tokyo, Japan;d Center for Materials Research by Information Integration, Research and Services Division of Materials Data and Integrated System, National Institute for Materials Science, Tsukuba, JapanCorrespondence[email protected]
https://orcid.org/0000-0002-8069-6938View further author information
https://orcid.org/0000-0002-8069-6938View further author information