Zobrazeno 1 - 10
of 265
pro vyhledávání: '"Fedorov, Maxim A."'
Autor:
Klyuchnikov, Nikita, Trofimov, Ilya, Artemova, Ekaterina, Salnikov, Mikhail, Fedorov, Maxim, Burnaev, Evgeny
Neural Architecture Search (NAS) is a promising and rapidly evolving research area. Training a large number of neural networks requires an exceptional amount of computational power, which makes NAS unreachable for those researchers who have limited o
Externí odkaz:
http://arxiv.org/abs/2006.07116
Autor:
Ers, Heigo, Lembinen, Meeri, Mišin, Maksim, Seitsonen, Ari P., Fedorov, Maxim V., Ivaništšev, Vladislav B.
Ionic liquids (IL) are promising electrolytes for electrochemical applications due to their remarkable stability and high charge density. Molecular dynamics simulations are essential for better understanding the complex phenomena occurring at the ele
Externí odkaz:
http://arxiv.org/abs/2003.12142
We propose an approach and the numerical algorithm for pre-processing of the electroencephalography (EEG) data, enabling to generate an accurate mapping of the potential from the measurement area - scalp - to the brain surface. The algorithm based on
Externí odkaz:
http://arxiv.org/abs/1907.01504
Autor:
Prosolov, Konstantin A., Luginin, Nikita A., Litvinova, Larisa S., Fedorov, Maxim A., Anisenya, Ilya I., Mushtovatova, Lyudmila S., Snetkov, Aleksandr A., Bukharov, Artem V., Khlusov, Igor A., Sharkeev, Yurii P.
Publikováno v:
In Journal of Materials Research and Technology July-August 2023 25:2177-2203
Autor:
Zacharov, Igor, Arslanov, Rinat, Gunin, Maxim, Stefonishin, Daniil, Pavlov, Sergey, Panarin, Oleg, Maliutin, Anton, Rykovanov, Sergey, Fedorov, Maxim
The Petaflops supercomputer "Zhores" recently launched in the "Center for Computational and Data-Intensive Science and Engineering" (CDISE) of Skolkovo Institute of Science and Technology (Skoltech) opens up new exciting opportunities for scientific
Externí odkaz:
http://arxiv.org/abs/1902.07490
Temperature dependence of the capacitance of the electrical double layer (EDL) in concentrated electrolytes/ionic liquids has been under debates for decades. To rationalise the capacitance vs temperature dependence, we run molecular dynamics simulati
Externí odkaz:
http://arxiv.org/abs/1711.06854
In this work, we present a new method for predicting bioaccumulation factor of organic molecules. The approach utilizes 3D convolutional neural network (ActivNet4) that uses solvent spatial distributions around solutes as input. These spatial distrib
Externí odkaz:
http://arxiv.org/abs/1710.08174
Akademický článek
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Akademický článek
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Autor:
Docampo-Álvarez, Borja, Gómez-González, Victor, Montes-Campos, Hadrián, Otero-Mato, José M., Méndez-Morales, Trinidad, Cabeza, Oscar, del Hoyo, Luis J. Luis Gallego, Lynden-Bell, Ruth M., Ivaništšev, Vladislav B., Fedorov, Maxim V., Varela, Luis M.
Publikováno v:
Journal of Physics: Condensed Matter 28 (2016) 464001
This work describes the behaviour of water molecules in 1-butyl-3-methylimidazolium tetrafluoroborate ionic liquid under nanoconfinement between graphene sheets. By means of molecular dynamics simulations, an adsorption of water molecules at the grap
Externí odkaz:
http://arxiv.org/abs/1604.02788