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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…
cond-mat.mtrl-sci2022
nanoNET: Machine Learning Platform for Predicting Nanoparticles Distribution in a Polymer Matrix
Kumar Ayush, Abhishek Seth, Tarak K Patra
Polymer nanocomposites (PNCs) offer a broad range of thermophysical properties that are linked to their compositions. However, it is challenging to establish a universal compositio…
cond-mat.mtrl-sci2022
Deep Learning Potential of Mean Force between Polymer Grafted Nanoparticles
Sachin Gautham, Tarak Patra
Grafting polymer chains on nanoparticles surfaces is a well-known route to control their self assembly and distribution in a polymer matrix. A wide variety of self assembled struct…