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
Chen Qu — most-cited papers & profile · AI for Science
← authors
·
overview
Chen Qu
7
papers ·
2
citations ·
34
h-index
Oldham Council
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Extending the atomic decomposition and many-body representation, a chemistry-motivated monomer-centered approach for machine learning potentials
2024 · 1 citations
The quantum nature of ubiquitous vibrational features revealed for ethylene glycol
2025 · 1 citations
Monomeric machine learning potential for general covalent molecules: linear alkanes as an example
2026
"Gold-Standard" $Δ$-Machine Learned and Transferable Potential for Linear Alkanes
2025
$Δ$-Machine Learning to Elevate DFT-based Potentials and a Force Field to the CCSD(T) Level Illustrated for Ethanol
2024
No Headache for PIPs: A PIP Potential for Aspirin Outperforms Other Machine-Learned Potentials
2024
Assessing PIP and sGDML Potential Energy Surfaces for H3O2-
2024
Top co-authors
Riccardo Conte
· 6
Apurba Nandi
· 5
Paul L. Houston
· 5
Priyanka Pandey
· 5
and Joel M. Bowman
· 3
Joel M. Bowman
· 3
Qi Yu
· 3
Alexandre Tkatchenko
· 1
and Qi Yu
· 1
Dong H. Zhang
· 1
Dong H. Zhang
· 1
Mrinal Arandhara
· 1
Topics
Chemistry
Physics ML
Materials
Drug Discovery