1 citations · 1 across the 3 of their papers we have counts for
3 papers
cond-mat.soft2024
Extrapolative ML Models for Copolymers
Israrul H. Hashmi, Himanshu, Rahul Karmakar +1
Machine learning models have been progressively used for predicting materials properties. These models can be built using pre-existing data and are useful for rapidly screening the…
cond-mat.soft2024
Entropic Cohesion in Vitrimers
Rahul Karmakar, Himanshu, Srikanth Sastry +2
Vitrimers are polymer networks that can undergo bond exchange reactions. They dynamically rearrange their structures while maintaining their overall integrity, thus resulting in un…
cond-mat.mtrl-sci2022★ 1 cited
When does deep learning fail and how to tackle it? A critical analysis on polymer sequence-property surrogate models
Himanshu, Tarak K Patra
Deep learning models are gaining popularity and potency in predicting polymer properties. These models can be built using pre-existing data and are useful for the rapid prediction…