47 citations · 47 across the 3 of their papers we have counts for
3 papers
cond-mat.soft2022
Predicting aggregate morphology of sequence-defined macromolecules with Recurrent Neural Networks
Debjyoti Bhattacharya, Devon C. Kleeblatt, Antonia Statt +1
Self-assembly of dilute sequence-defined macromolecules is a complex phenomenon in which the local arrangement of chemical moieties can lead to the formation of long-range structur…
cond-mat.mtrl-sci2021
Deep Learning Order Parameter for Polymer Phase Transition
Debjyoti Bhattacharya, Tarak K Patra
We report a deep learning (DL) framework viz. deep autoencoder that autonomously discovers an appropriate order parameter from molecular dynamics (MD) simulation data to characteri…
cond-mat.soft2020★ 47 cited
dPOLY: Deep Learning of Polymer Phases and Phase Transition
Debjyoti Bhattacharya, Tarak K Patra
Machine learning (ML) and artificial intelligence (AI) have the remarkable ability to classify, recognize, and characterize complex patterns and trends in large data sets. Here, we…