1 citations · 1 across the 3 of their papers we have counts for
3 papers
physics.chem-ph2026
HiPoly: a hierarchical polymer-native AI framework for property prediction and generative design
Ge Sun, Gervasio Zaldivar, Yuan Tian +5
Polymeric materials are central to modern technologies, with applications ranging from energy to health and transportation. Although AI has made significant advances in materials d…
cond-mat.soft2025
Learning noisy tissue dynamics across time scales
Ming Han, John Devany, Michel Fruchart +2
Tissue dynamics play a crucial role in biological processes ranging from inflammation to morphogenesis. However, these noisy multicellular dynamics are notoriously hard to predict.…
physics.chem-ph2025★ 1 cited
Attention-Based Functional-Group Coarse-Graining: A Deep Learning Framework for Molecular Prediction and Design
Ming Han, Ge Sun, Juan J. de Pablo
Machine learning (ML) offers considerable promise for the design of new molecules and materials. In real-world applications, the design problem is often domain-specific, and suffer…