Benchmarking machine learning models for polymer informatics: an example of glass transition temperature

L Tao, V Varshney, Y Li - Journal of Chemical Information and …, 2021 - ACS Publications
In the field of polymer informatics, utilizing machine learning (ML) techniques to evaluate the
glass transition temperature T g and other properties of polymers has attracted extensive …

Benchmarking Machine Learning Models for Polymer Informatics: An Example of Glass Transition Temperature.

L Tao, V Varshney, Y Li - Journal of Chemical Information and …, 2021 - europepmc.org
In the field of polymer informatics, utilizing machine learning (ML) techniques to evaluate the
glass transition temperature T g and other properties of polymers has attracted extensive …

Benchmarking Machine Learning Models for Polymer Informatics: An Example of Glass Transition Temperature

L Tao, V Varshney, Y Li - Journal of chemical information …, 2021 - pubmed.ncbi.nlm.nih.gov
In the field of polymer informatics, utilizing machine learning (ML) techniques to evaluate the
glass transition temperature T g and other properties of polymers has attracted extensive …

Benchmarking Machine Learning Models for Polymer Informatics: An Example of Glass Transition Temperature

Y Li, L Tao, V Varshney - APS March Meeting Abstracts, 2022 - ui.adsabs.harvard.edu
Various machine learning (ML) models are demonstrated to perform well for polymer's glass
transition temperature (Tg) prediction. Nevertheless, they are trained on different datasets …

Benchmarking Machine Learning Models for Polymer Informatics: An Example of Glass Transition Temperature

Y Li, L Tao, V Varshney - Bulletin of the American Physical Society, 2022 - APS
APS -APS March Meeting 2022 - Event - Benchmarking Machine Learning Models for Polymer
Informatics: An Example of Glass Transition Temperature American Physical Society American …

[PDF][PDF] Benchmarking Machine Learning Models for Polymer Informatics: An Example of Glass Transition Temperature

L Tao, V Varshney, Y Li - Journal of Chemical Information and Modeling, 2021 - par.nsf.gov
In the field of polymer informatics, utilizing machine learning (ML) techniques to evaluate the
glass transition temperature Tg and other properties of polymers has attracted extensive …