activity
20242026
collaborators

5 papers

physics.chem-ph2026

ADEPT-PolyGraphMT: Automated Molecular Simulation and Multi-Task Multi-Fidelity Machine Learning for Polymer Property Generation and Prediction

Sobin Alosious, Yuhan Liu, Jiaxin Xu +4

The discovery of polymers with targeted properties is challenged by the vast chemical design space and the limited availability of consistent, high-quality data across multiple pro…

cond-mat.mtrl-sci2026

Active learning-enabled multi-objective design of thermally conductive and mechanically compliant polymers

Yuhan Liu, Jiaxin Xu, Renzheng Zhang +2

Polymers are attractive in applications like flexible electronics and thermal interface materials due to their mechanical compliance and processability. However, conventional polym…

cs.LG2025

Open Polymer Challenge: Post-Competition Report

Gang Liu, Sobin Alosious, Subhamoy Mahajan +9

Machine learning (ML) offers a powerful path toward discovering sustainable polymer materials, but progress has been limited by the lack of large, high-quality, and openly accessib…

cond-mat.mtrl-sci2025

POINT: A Polymer Informatics Training and Testing Database

Jiaxin Xu, Gang Liu, Ruilan Guo +2

The advancement of polymer informatics has been significantly propelled by the integration of machine learning (ML) techniques, enabling the rapid prediction of polymer properties…

cs.LG2024

Graph Diffusion Transformers for Multi-Conditional Molecular Generation

Gang Liu, Jiaxin Xu, Tengfei Luo +1

Inverse molecular design with diffusion models holds great potential for advancements in material and drug discovery. Despite success in unconditional molecular generation, integra…