Maksim Kulichenko

Publication Activity (10 Years)

Years Active: 2022-2023
Publications (10 Years): 8

Top Topics

Body Composition

Oxide Nanoparticles

Machine Learning

Molecular Dynamics

Top Venues

Nature computational science

Nature reviews. Chemistry

The journal of physical chemistry. A

Journal of chemical theory and computation

This page only lists publications with an associated author ORCID identifier.

Publications

Maksim Kulichenko, Kipton Barros, Nicholas Lubbers, Ying Wai Li, Richard Messerly, Sergei Tretiak, Justin S Smith, Benjamin T Nebgen
Uncertainty-driven dynamics for active learning of interatomic potentials. Nature computational science 3 (3) (2023)
Maksim Kulichenko, Kipton Barros, Nicholas Lubbers, Ying Wai Li, Richard Messerly, Sergei Tretiak, Justin S Smith, Benjamin T Nebgen
Uncertainty-driven dynamics for active learning of interatomic potentials. Nature computational science 3 (3) (2023)
Anton S Pozdeev, Wei-Jia Chen, Hyun Wook Choi, Maksim Kulichenko, Dao-Fu Yuan, Alexander I Boldyrev, Lai-Sheng Wang
Photoelectron Spectroscopy and Theoretical Study of Di-Copper-Boron Clusters: Cu 2 B 3 - and Cu 2 B 4 . The journal of physical chemistry. A (2023)
Maksim Kulichenko, Kipton Barros, Nicholas Lubbers, Ying Wai Li, Richard Messerly, Sergei Tretiak, Justin S Smith, Benjamin T Nebgen
Uncertainty-driven dynamics for active learning of interatomic potentials. Nature computational science 3 (3) (2023)
Maksim Kulichenko, Kipton Barros, Nicholas Lubbers, Ying Wai Li, Richard Messerly, Sergei Tretiak, Justin S Smith, Benjamin T Nebgen
Uncertainty-driven dynamics for active learning of interatomic potentials. Nature computational science 3 (3) (2023)
Maksim Kulichenko, Kipton Barros, Nicholas Lubbers, Nikita Fedik, Guoqing Zhou, Sergei Tretiak, Benjamin Nebgen, Anders M N Niklasson
Semi-Empirical Shadow Molecular Dynamics: A PyTorch Implementation. Journal of chemical theory and computation (2023)
Nikita Fedik, Roman Zubatyuk, Maksim Kulichenko, Nicholas Lubbers, Justin S Smith, Benjamin T Nebgen, Richard A Messerly, Ying Wai Li, Alexander I Boldyrev, Kipton Barros, Oleksandr Isaev, Sergei Tretiak
Extending machine learning beyond interatomic potentials for predicting molecular properties. Nature reviews. Chemistry 6 (9) (2022)
Nikita Fedik, Roman Zubatyuk, Maksim Kulichenko, Nicholas Lubbers, Justin S Smith, Benjamin T Nebgen, Richard A Messerly, Ying Wai Li, Alexander I Boldyrev, Kipton Barros, Oleksandr Isaev, Sergei Tretiak
Extending machine learning beyond interatomic potentials for predicting molecular properties. Nature reviews. Chemistry 6 (9) (2022)