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Danil M. Pashkov

Observed names: D. M. Pashkov, D. Pashkov, D.M. Pashkov, Danil Pashkov
ORCID: 0000-0002-6107-4762
Observed ORCID: 0000-0002-6107-4762
OpenAlex ID: A5071829172
Self-Driving Laboratories for Development of New Functional Materials and Optimizing Known Reactions
2021 · Mikhail A. Soldatov, Vera V. Butova, et al. · Nanomaterials · 75
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Quantitative Analysis of the UV–Vis Spectra for Gold Nanoparticles Powered by Supervised Machine Learning
2021 · D. M. Pashkov, A. A. Guda, et al. · The Journal of Physical Chemistry C · 41
Design of double layer protective coatings: Finite element modeling and machine learning approximations
2022 · V.I. Kolesnikov, D.M. Pashkov, et al. · Acta Astronautica · 26
Machine Learning Analysis of Reaction Parameters in UV-Mediated Synthesis of Gold Nanoparticles
2023 · Alexander A. Guda, Mikhail V. Kirichkov, et al. · The Journal of Physical Chemistry C · 24
Relationships between synthesis conditions and TiN coating properties discovered from the data driven approach
2023 · M.S. Lifar, S.A. Guda, et al. · Thin Solid Films · 18
Adsorption Sites on Pd Nanoparticles Unraveled by Machine-Learning Potential with Adaptive Sampling
2022 · Andrei Tereshchenko, Danil Pashkov, et al. · Molecules · 16
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Reverse Engineering of Mechanical and Tribological Properties of Coatings: Results of Machine Learning Algorithms
2022 · D. M. Pashkov, O. A. Belyak, et al. · Physical Mesomechanics · 10
Artificial Intelligence for Nanostructured Materials
2022 · Z. M. Gadzhimagomedova, D. M. Pashkov, et al. · Nanobiotechnology Reports · 9
Deep Learning Classification of Colorectal Lesions Based on Whole Slide Images
2022 · Sergey A. Soldatov, Danil M. Pashkov, et al. · Algorithms · 8
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On the Technologies of Artificial Intelligence and Machine Learning for 2D Materials
2021 · D. Yu. Kirsanova, M. A. Soldatov, et al. · Journal of Surface Investigation X-ray Synchrotron and Neutron Techniques · 8
MLFT approach with p-d hybridization for ab initio simulations of the pre-edge XANES
2018 · E. Gorelov, A.A. Guda, et al. · Radiation Physics and Chemistry · 8
Machine Learning-Based Predictive Modeling of Mechanical Properties of Coatings
2022 · Vladimir I. Kolesnikov, Olga A. Belyak, et al. · Lecture notes in networks and systems · 1
Application of Machine Learning Methods to Approximate the Binding Energy of CO Molecules on the Surface of Pd Nanoparticles
2022 · A. A. Tereshchenko, D. M. Pashkov, et al. · Journal of Surface Investigation X-ray Synchrotron and Neutron Techniques
Reverse engineering of mechanical and tribological properties of coatings: Results of machine learning algorithms
2022 · D.M. Pashkov, O.A. Belyak, et al. · Физическая мезомеханика
Molecular-Dynamics Modeling of the Surface Mechanical Properties Using the ReaxFF Potential
2021 · Yu. V. Rusalev, A. A. Guda, et al. · Journal of Surface Investigation X-ray Synchrotron and Neutron Techniques
Analysis of pre-edge XANES spectra of Fe:SiO4 system by using machine learning methods
2021 · Danil Pashkov, Alexander A. Guda, et al. · Acta Crystallographica Section A Foundations and Advances
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Application of Ligand Field Theory for Simulation of the Pre-Edge Structure of X-Ray Absorption Spectra of Amorphous Systems
2021 · D. M. Pashkov, D. S. Rubanik, et al. · Journal of Surface Investigation X-ray Synchrotron and Neutron Techniques
Works count: 17
Citation count: 244
H-index: 8
I10-index: 7
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