activity
20072026
most citedThe Joint Automated Repository for Various Integrated Simulations (JARVIS) for data-driven materials design

538 citations · 2.2k across the 55 of their papers we have counts for

collaborators

58 papers

cond-mat.mtrl-sci2026

Origin and Reduction of Coercive Fields in ZnO-based Wurtzite Ferroelectrics

Abhijeet Dhakane, Alireza Sepehrinezhad, William Prudnick +5

Wurtzite ferroelectrics offer a route to semiconductor-compatible non-volatile devices, but their large coercive fields (E) constrain the operating window between polarization…

cond-mat.mtrl-sci2026

Predicting Physical and Physical-Chemical Properties of Molecular-Based Materials Using Computational Neural Networks

Andrei A. Gakh, Bobby G. Sumpter, Donald W. Noid

A computational scheme, which utilizes neural networks, was developed to predict properties of molecular-based materials from chemical structures. The method uses a set of simple a…

cond-mat.mtrl-sci2025

Physically Interpretable Interatomic Potentials via Symbolic Regression and Reinforcement Learning

Bilvin Varughese, Troy D. Loeffler, Suvo Banik +9

The development of next-generation molecular simulation models requires moving beyond pre-defined functional forms toward machine learning (ML) techniques that directly capture mul…

cond-mat.soft2025

Cross-scale Modeling of Polymer Topology Impact on Extrudability through Molecular Dynamics and Computational Fluid Dynamics

Yawei Gao, Jan Michael Carrillo, Logan T. Kearney +7

Understanding how polymer topology influences melt extrudability is critical for advancing material design in extrusion-based additive manufacturing. In this work, we develop a bot…

physics.app-ph2025★ 29 cited

Room-Temperature High-Purity Single Photon Emission from Carbon-Doped Boron Nitride Thin Films

Arka Chatterjee, Abhijit Biswas, Addis S. Fuhr +5

Hexagonal boron nitride (hBN) has emerged as an excellent host material for generating room temperature single photons exhibiting high brightness and spin-photon entanglement. Howe…

cond-mat.soft2025★ 7 cited

Deciphering the Scattering of Mechanically Driven Polymers using Deep Learning

Lijie Ding, Chi-Huan Tung, Bobby G. Sumpter +2

We present a deep learning approach for analyzing two-dimensional scattering data of semiflexible polymers under external forces. In our framework, scattering functions are compres…