1 citations · 1 across the 3 of their papers we have counts for
3 papers
An Explainable AI Model for Binary LJ Fluids
Israrul H Hashmi, Rahul Karmakar, Marripelli Maniteja +2
Lennard-Jones (LJ) fluids serve as an important theoretical framework for understanding molecular interactions. Binary LJ fluids, where two distinct species of particles interact b…
Predicting Pair Correlation Functions of Glasses using Machine Learning
Kumar Ayush, Pooja Sahu, Sk Musharaf Ali +1
Glasses offer a broad range of tunable thermophysical properties that are linked to their compositions. However, it is challenging to establish a universal composition-property rel…
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…