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Alexander Ryabov

Showing results (1-10 of 5) with videos related to

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Scientific Reports|May 16, 2020
Neural network interpolation of exchange-correlation functionalAlexander Ryabov, Iskander Akhatov, Petr Zhilyaev
Scientific Reports|August 19, 2022
Application of two-component neural network for exchange-correlation functional interpolationAlexander Ryabov, Iskander Akhatov, Petr Zhilyaev
The Journal of Chemical Physics|August 15, 2025
On the practical applicability of DM21 neural-network DFT functional for chemical calculations: Focus on geometry optimizationKirill Kulaev, Alexander Ryabov, Michael G Medvedev, et al.
Materials (Basel, Switzerland)|February 11, 2023
Process Parameter Selection for Production of Stainless Steel 316L Using Efficient Multi-Objective Bayesian Optimization AlgorithmTimur Chepiga, Petr Zhilyaev, Alexander Ryabov, et al.
Physical Chemistry Chemical Physics : PCCP|October 24, 2022
nablaDFT: Large-Scale Conformational Energy and Hamiltonian Prediction benchmark and datasetKuzma Khrabrov, Ilya Shenbin, Alexander Ryabov, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
Scientific Reports|May 16, 2020
Neural network interpolation of exchange-correlation functionalAlexander Ryabov, Iskander Akhatov, Petr Zhilyaev
Scientific Reports|August 19, 2022
Application of two-component neural network for exchange-correlation functional interpolationAlexander Ryabov, Iskander Akhatov, Petr Zhilyaev
The Journal of Chemical Physics|August 15, 2025
On the practical applicability of DM21 neural-network DFT functional for chemical calculations: Focus on geometry optimizationKirill Kulaev, Alexander Ryabov, Michael G Medvedev, et al.
Materials (Basel, Switzerland)|February 11, 2023
Process Parameter Selection for Production of Stainless Steel 316L Using Efficient Multi-Objective Bayesian Optimization AlgorithmTimur Chepiga, Petr Zhilyaev, Alexander Ryabov, et al.
Physical Chemistry Chemical Physics : PCCP|October 24, 2022
nablaDFT: Large-Scale Conformational Energy and Hamiltonian Prediction benchmark and datasetKuzma Khrabrov, Ilya Shenbin, Alexander Ryabov, et al.
Pageof 1