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
Markus Reiher — most-cited papers & profile · AI for Science
← authors
·
overview
Markus Reiher
5
papers ·
116
citations ·
85
h-index
ETH Zurich
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Training neural nets to learn reactive potential energy surfaces using interactive quantum chemistry in virtual reality
2019 · 108 citations
Machine Learning Enhanced Calculation of Quantum-Classical Binding Free Energies
2025 · 8 citations
Top co-authors
Alain C. Vaucher
· 1
and David R. Glowacki
· 1
Anders Krogh
· 1
and Gemma C. Solomon
· 1
F. Emil Thomasen
· 1
Frederik E. Knudsen
· 1
Kresten Lindorff-Larsen
· 1
Lars A. Bratholm
· 1
Marco Eckhoff
· 1
Matthew S. Teynor
· 1
Moritz Bensberg
· 1
Raphael T. Husistein
· 1
Topics
Chemistry
Drug Discovery
Protein Science
Physics ML