collaborators

5 papers

cond-mat.soft2026

A Synthetically-accessible Universe of Chemically Recyclable Polymers

Anagha Savit, Wei Xiong, Harikrishna Sahu +3

Polymers synthesized via ring-opening polymerization (ROP) of cyclic monomers represent an important class of materials due to their chemical recyclability and possible insertion i…

cond-mat.mtrl-sci2026

On-the-Fly Machine-Learned Force Fields for High-Fidelity Polymer Glass Transition Simulations

Ashutosh Srivastava, Sakshi Agarwal, Shivank Shukla +2

Predicting polymer glass transition temperatures (Tg) with first-principles fidelity has long remained out of reach, as cooling multi-thousand-atom systems over a broad temperature…

cond-mat.mtrl-sci2026

Load-dependent Hardness Prediction for Materials using Machine Learning

Madhubanti Mukherjee, Rampi Ramprasad, Harikrishna Sahu

Superhard materials are critical for wear-resistant and high-stress applications. Conventional approaches correlating hardness with elastic moduli derived from DFT calculations ena…

cond-mat.mtrl-sci2025

An Encoder-Decoder Foundation Chemical Language Model for Generative Polymer Design

Harikrishna Sahu, Wei Xiong, Anagha Savit +2

Traditional machine learning has advanced polymer discovery, yet direct generation of chemically valid and synthesizable polymers without exhaustive enumeration remains a challenge…

cond-mat.soft2025

polyBART: A Chemical Linguist for Polymer Property Prediction and Generative Design

Anagha Savit, Harikrishna Sahu, Shivank Shukla +2

Designing polymers for targeted applications and accurately predicting their properties is a key challenge in materials science owing to the vast and complex polymer chemical space…