Awesome AI for Science
📄
Papers
🧭
Topics
🔥
Trending
🗺️
Map
🏆
Leaderboards
🎓
Learn
🤖
Ask AI
⋯
More
👥
Authors
📚
Reading Packs
📊
Datasets
🛠️
Tools
📰
News
📝
Blogs
✉️
Newsletter
🎯
Research Radar
🔖
Saved
+ Add Paper
☾
☀
← authors
·
overview
Loading author…
🤖
Ask AI
Yuan Chiang — most-cited papers & profile · AI for Science
← authors
·
overview
Yuan Chiang
8
papers ·
276
citations ·
11
h-index
Lawrence Berkeley National Laboratory · National Taiwan University of Science and Technology · National Taiwan University · University of California, Berkeley · National Taipei University
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
A foundation model for atomistic materials chemistry
2024 · 246 citations
LLaMP: Large Language Model Made Powerful for High-fidelity Materials Knowledge Retrieval and Distillation
2024 · 23 citations
Reflections from the 2024 Large Language Model (LLM) Hackathon for Applications in Materials Science and Chemistry
2024 · 4 citations
MLIP Arena: Advancing Fairness and Transparency in Machine Learning Interatomic Potentials via an Open, Accessible Benchmark Platform
2025 · 1 citations
Generative Latent Space Dynamics of Electron Density
2025
Encoding protein dynamic information in graph representation for functional residue identification
2021
Top co-authors
Janine George
· 2
Janosh Riebesell
· 2
Mark Asta
· 2
Matthew C. Kuner
· 2
Samuel M. Blau
· 2
Aakash A. Naik
· 1
Aakash Naik
· 1
Aaron D. Kaplan
· 1
Abdelrahman Ibrahim
· 1
Abhijeet Sadashiv Gangan
· 1
Adib Bazgir
· 1
Aditi S. Krishnapriyan
· 1
Topics
Chemistry
Materials
Physics ML
Protein Science
Drug Discovery