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
Moscow — most-cited papers & profile · AI for Science
← authors
·
overview
Moscow
8
papers ·
8
citations
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Path-integral molecular dynamics with actively-trained and universal machine learning force fields
2025 · 1 citations
Machine Learning Photodynamics Unveils a Controlled H$_2$ Loss Channel in Methaniminium Cation
2025
Automated Prediction of Thermodynamic Properties via Bayesian Free-Energy Reconstruction from Molecular Dynamics
2025
Size doesn't matter: predicting physico- or biochemical properties based on dozens of molecules
2021
Top co-authors
Russia
· 3
Digital Materials LLC
· 2
Odintsovo
· 2
A. A. Solovykh (1
· 1
Alexander Shapeev (3
· 1
and 3
· 1
and 7
· 1
Andrei Kolmakov (1
· 1
Artem Mitrofanov (1 and 2
· 1
bld. 3
· 1
Daniil N. Chistikov (1 and 3
· 1
Dmitry S. Popov (1
· 1
Topics
Chemistry
Materials
Physics ML
Drug Discovery