Inverse design of high-performance glasses through an encoder-decoder machine learning approach toward materials discovery: Application to oxynitride glasses
- DOI
- 10.1016/j.actamat.2025.121882
- Published
- 2026-03
- Container
- Acta Materialia
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.actamat.2025.121882,
title = {Inverse design of high-performance glasses through an encoder-decoder machine learning approach toward materials discovery: Application to oxynitride glasses},
author = {Alexis Duval and Eric Robin and Patrick Houizot and Tanguy Rouxel},
year = {2026},
journal = {Acta Materialia},
doi = {10.1016/j.actamat.2025.121882},
url = {https://doi.org/10.1016/j.actamat.2025.121882}
}RIS
TY - JOUR TI - Inverse design of high-performance glasses through an encoder-decoder machine learning approach toward materials discovery: Application to oxynitride glasses AU - Alexis Duval AU - Eric Robin AU - Patrick Houizot AU - Tanguy Rouxel PY - 2026 JO - Acta Materialia DO - 10.1016/j.actamat.2025.121882 UR - https://doi.org/10.1016/j.actamat.2025.121882 ER -
APA
Duval, A., Robin, E., Houizot, P., & Rouxel, T. (2026). Inverse design of high-performance glasses through an encoder-decoder machine learning approach toward materials discovery: Application to oxynitride glasses. Acta Materialia. https://doi.org/10.1016/j.actamat.2025.121882
Source records
- crossref · retrieved 2026-09-25T07:27:31.545Z