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Digital Materials LLC — most-cited papers & profile · AI for Science
← authors
·
overview
Digital Materials LLC
2
papers ·
1
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
Automated Prediction of Thermodynamic Properties via Bayesian Free-Energy Reconstruction from Molecular Dynamics
2025
Top co-authors
Moscow
· 2
Odintsovo
· 2
A. A. Solovykh (1
· 1
Alexander Shapeev (3
· 1
and 3
· 1
and 7
· 1
Andrei Kolmakov (1
· 1
Dolgoprudny
· 1
Ekaterina Spirande (1
· 1
I. S. Novikov (3
· 1
N. E. Rybin (3 and 4
· 1
Russia
· 1
Topics
Materials
Chemistry
Physics ML