6 citations · 10 across the 2 of their papers we have counts for
3 papers
physics.chem-ph2026
Graph Symbolic Distillation: Decoding Graph Data into Interpretable Formulas across Materials and Chemistry
Yuxuan Yao, Harald Oberhofer, Karsten Reuter +1
Graph data provide a natural representation of the interconnected structures and interactions underlying many chemical and materials systems. Graph neural networks (GNNs) can learn…
physics.chem-ph2025★ 4 cited
Foundation Models for Atomistic Simulation of Chemistry and Materials
Eric C. -Y. Yuan, Yunsheng Liu, Junmin Chen +11
Given the power of large language and large vision models, it is of profound and fundamental interest to ask if a foundational model based on data and parameter scaling laws and pr…
cs.AI2025★ 6 cited
MatterChat: A Multi-Modal LLM for Material Science
Yingheng Tang, Wenbin Xu, Jie Cao +6
Understanding and predicting the properties of inorganic materials is crucial for accelerating advancements in materials science and driving applications in energy, electronics, an…