Artem A. Mitrofanov

According to our database, Artem A. Mitrofanov authored at least 8 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Symmetry-Sensitive Analysis of Molecular Graph Neural Network Models.

Kirill Karpov, Ivan S. Pikulin, Artem A. Mitrofanov, Anatoliy A. Chasovskikh, Aleksandr Yu. Konovalov, Grigory V. Bokov

J. Chem. Inf. Model., 2026

2025

Data-driven approach to the design of complexing agents for trivalent transuranium elements.

Kirill Karpov, Ivan S. Pikulin, Grigory V. Bokov, Artem A. Mitrofanov

CoRR, September, 2025

Data-Driven Prediction of Structures of Metal-Organic Frameworks.

Elizaveta I. Yakovenko, Iurii M. Nevolin, Anatoliy A. Chasovskikh, Artem A. Mitrofanov, Vadim V. Korolev

J. Chem. Inf. Model., 2025

2024

Coarse-Grained Crystal Graph Neural Networks for Reticular Materials Design.

Vadim Korolev, Artem A. Mitrofanov

J. Chem. Inf. Model., 2024

2022

Tree Parzen estimator for global geometry optimization: A benchmark and database of experimental gas-phase structures of organic molecules.

Nikolai Andreadi, Dmitry V. Zankov, Kirill Karpov, Artem A. Mitrofanov

J. Comput. Chem., 2022

2021

PyRad: A software shell for simulating radiolysis with Qball package.

Nikolai Andreadi, Artem A. Mitrofanov, Artem Eliseev, Petr Matveev, Stepan Kalmykov, Vladimir Petrov

J. Comput. Chem., 2021

Size doesn't matter: predicting physico- or biochemical properties based on dozens of molecules.

Kirill Karpov, Artem A. Mitrofanov, Vadim Korolev, Valery Tkachenko

CoRR, 2021

2020

Graph Convolutional Neural Networks as "General-Purpose" Property Predictors: The Universality and Limits of Applicability.

Vadim Korolev, Artem A. Mitrofanov, Alexandru Korotcov, Valery Tkachenko

J. Chem. Inf. Model., 2020