An improved machine learning strategy using structural features to predict the glass transition temperature of oxide glasses
We present a physics-informed machine learning approach to predict the glass transition temperature ( T g ) of sodium borosilicate glasses.
Authors
- Satwinder Singh (ORCID: https://orcid.org/0000-0002-8371-1478)
- Kulvir Singh (ORCID: https://orcid.org/0000-0002-6671-4829)
Institutions
- Thapar Institute of Engineering & Technology (IN)
Publication Details
- Journal
- Digital Discovery
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1039/d5dd00326a
- Primary Topic
- Glass properties and applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Thapar Institute of Engineering and Technology