Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Maxim Faleev"'
Publikováno v:
Journal of Information Security and Cybercrimes Research, Vol 6, Iss 1, Pp 01-11 (2023)
This study, conducted by employees of Match Systems in November-December 2022, presents a subjective opinion on the potential involvement of certain addresses and transactions in suspicious activity. This research was initiated in response to reports
Externí odkaz:
https://doaj.org/article/6795ad1a1ff2471baa3a8907ff8dedbf
Autor:
Nikita Kazeev, Abdalaziz Rashid Al-Maeeni, Ignat Romanov, Maxim Faleev, Ruslan Lukin, Alexander Tormasov, A. H. Castro Neto, Kostya S. Novoselov, Pengru Huang, Andrey Ustyuzhanin
Publikováno v:
npj Computational Materials, Vol 9, Iss 1, Pp 1-10 (2023)
Abstract Two-dimensional materials offer a promising platform for the next generation of (opto-) electronic devices and other high technology applications. One of the most exciting characteristics of 2D crystals is the ability to tune their propertie
Externí odkaz:
https://doaj.org/article/0872e76f652f4a6a9edf9cd9eeb3ce6d
Autor:
Pengru Huang, Ruslan Lukin, Maxim Faleev, Nikita Kazeev, Abdalaziz Rashid Al-Maeeni, Daria V. Andreeva, Andrey Ustyuzhanin, Alexander Tormasov, A. H. Castro Neto, Kostya S. Novoselov
Publikováno v:
npj 2D Materials and Applications, Vol 7, Iss 1, Pp 1-10 (2023)
Abstract Modification of physical properties of materials and design of materials with on-demand characteristics is at the heart of modern technology. Rare application relies on pure materials—most devices and technologies require careful design of
Externí odkaz:
https://doaj.org/article/c78b5fe930c0498ab0b589d71258a27b
Autor:
Pengru Huang, Ruslan Lukin, Maxim Faleev, Nikita Kazeev, Abdalaziz Rashid Al-Maeeni, Daria V. Andreeva, Andrey Ustyuzhanin, Alexander Tormasov, A. H. Castro Neto, Kostya S. Novoselov
Publikováno v:
npj 2D Materials and Applications, Vol 7, Iss 1, Pp 1-1 (2023)
Externí odkaz:
https://doaj.org/article/a38304ebbb6944deb31bdb47a9a4906b
Applying deep learning to search for catalysts is an important challenge for solving energy storage problems and the conversion of greenhouse gases into more valuable products caused by global warming. We present several graph neural networks (GNNs)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2e6fad0d88c69f2785c47836fe1fe9ff
https://doi.org/10.26434/chemrxiv-2022-jgd2t
https://doi.org/10.26434/chemrxiv-2022-jgd2t
Autor:
Pengru Huang, Ruslan Lukin, Maxim Faleev, Nikita Kazeev, Abdalaziz Rashid Al-Maeeni, Daria V. Andreeva, Andrey Ustyuzhanin, Alexander Tormasov, A. H. Castro Neto, Kostya S. Novoselov
Modification of physical properties of materials and design of materials with on-demand characteristics is at the heart of modern technology. Rare application relies on pure materials--most devices and technologies require careful design of materials
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::64c135d9272e1d5f2bc12cc79b8d2f27