A naukri.com initiative
Arxiv
1w
219
Image Credit: Arxiv
POINT$^{2}$: A Polymer Informatics Training and Testing Database
- The integration of machine learning (ML) techniques has propelled the advancement of polymer informatics in predicting polymer properties and discovering high-performance materials.
- However, the field lacks a standardized workflow that encompasses prediction accuracy, uncertainty quantification, ML interpretability, and polymer synthesizability.
- To address these challenges, a comprehensive benchmark database and protocol called POINT$^{2}$ (POlymer INformatics Training and Testing) has been introduced.
- The POINT$^{2}$ database provides a collection of ML models and polymer representations to achieve property predictions, uncertainty estimations, model interpretability, and template-based polymerization synthesizability.
Read Full Article
13 Likes
For uninterrupted reading, download the app