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Unsupervised EDS embedding reveals increasing configurational entropy in high-entropy chalcogenides

Year: 2025

Type: article

Abstract: Data and computer code for the paper ‘Unsupervised EDS embedding reveals increasing configurational entropy in high-entropy chalcogenides’.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.17554125

Authors: Jang, Hanhwi, Ren, Feixiang, Wu, Yu-Mi, Lee, Wooseok, Kim, YongJoo, Kim, Hwa-Jung, Shin, Hosun, Lee, Won Bo, Oh, Min-Wook, Jung, Yeon Sik, Cha, Judy J., Loh, N. Duane, Han, Hyeuk Jin

Institutions: Korea Advanced Institute of Science and Technology, National University of Singapore, Cornell University, Seoul National University, Korea University, Korea Research Institute of Standards and Science, Hanbat National University, Sungshin Women's University

Language: English

Topic: Machine Learning in Materials Science

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W7105931836

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