Publications & Talks
Research Papers
polyGen: A Learning Framework for Atomic-level Polymer Structure Generation
arXiv preprint arXiv:2504.17656, 2025
A physics-enforced neural network to predict polymer melt viscosity
npj Computational Materials, 11(1), 42, 2025
LatticeGraphNet: a two-scale graph neural operator for simulating lattice structures
Engineering with Computers, 1-16, 2024
Fast and Efficient Fabrication of Functional Electronic Devices through Grayscale Digital Light Processing 3D Printing
Advanced Materials, 36(46), 2408774, 2024
Machine-Guided Discovery of Acrylate Photopolymer Compositions
ACS Applied Materials & Interfaces, 16(14), 17992-18000, 2024
Electrolyte melt infiltration for scalable manufacturing of inorganic all-solid-state lithium-ion batteries
Nature Materials, 20(7), 984-990, 2021
Talks/Posters
A physics-enforced neural network to predict polymer melt viscosity
NEURIPS AI4Mat Workshop, December 2024
LatticeGraphNet: a two-scale graph neural operator for simulating lattice structures
Tech Talk @ PhysicsX, October 2024
Oral Presentation
Graph Neural Networks: AI for Simulation
Machine Learning @ GT Student Conference, August 2024
Oral Presentation
Machine-Guided Discovery of Acrylate Photopolymer Compositions
American Chemical Society, August 2024
Oral Presentation
Physics Informed Machine Learning for Polymer Viscosity
Materials Research Society, December 2022