Zobrazeno 1 - 10
of 259
pro vyhledávání: '"Andrey Ustyuzhanin"'
Autor:
Andrei Golutvin, Aleksandr Iniukhin, Andrea Mauri, Patrick Owen, Nicola Serra, Andrey Ustyuzhanin
Publikováno v:
European Physical Journal C: Particles and Fields, Vol 83, Iss 9, Pp 1-16 (2023)
Abstract We propose a new method based on machine learning to play the devil’s advocate and investigate the impact of unknown systematic effects in a quantitative way. This method proceeds by reversing the measurement process and using the physics
Externí odkaz:
https://doaj.org/article/4ba260b0064f480ca12235f558061c55
Publikováno v:
PeerJ Computer Science, Vol 9, p e1654 (2023)
Program code has recently become a valuable active data source for training various data science models, from code classification to controlled code synthesis. Annotating code snippets play an essential role in such tasks. This article presents a nov
Externí odkaz:
https://doaj.org/article/9163bee75194481f9d51f79524eeb5a0
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:
Zoran Babović, Branislav Bajat, Dusan Barac, Vesna Bengin, Vladan Đokić, Filip Đorđević, Dražen Drašković, Nenad Filipović, Stephan French, Borko Furht, Marija Ilić, Ayhan Irfanoglu, Aleksandar Kartelj, Milan Kilibarda, Gerhard Klimeck, Nenad Korolija, Miloš Kotlar, Miloš Kovačević, Vladan Kuzmanović, Jean-Marie Lehn, Dejan Madić, Marko Marinković, Miodrag Mateljević, Avi Mendelson, Fedor Mesinger, Gradimir Milovanović, Veljko Milutinović, Nenad Mitić, Aleksandar Nešković, Nataša Nešković, Boško Nikolić, Konstantin Novoselov, Arun Prakash, Jelica Protić, Ivan Ratković, Diego Rios, Dan Shechtman, Zoran Stojadinović, Andrey Ustyuzhanin, Stan Zak
Publikováno v:
Journal of Big Data, Vol 10, Iss 1, Pp 1-25 (2023)
Abstract This article describes a teaching strategy that synergizes computing and management, aimed at the running of complex projects in industry and academia, in the areas of civil engineering, physics, geosciences, and a number of other related fi
Externí odkaz:
https://doaj.org/article/07923dc0e30449e3b7f3575e73f2bb11
Autor:
Zoran Babović, Branislav Bajat, Vladan Đokić, Filip Đorđević, Dražen Drašković, Nenad Filipović, Borko Furht, Nikola Gačić, Igor Ikodinović, Marija Ilić, Ayhan Irfanoglu, Branislav Jelenković, Aleksandar Kartelj, Gerhard Klimeck, Nenad Korolija, Miloš Kotlar, Miloš Kovačević, Vladan Kuzmanović, Marko Marinković, Slobodan Marković, Avi Mendelson, Veljko Milutinović, Aleksandar Nešković, Nataša Nešković, Nenad Mitić, Boško Nikolić, Konstantin Novoselov, Arun Prakash, Ivan Ratković, Zoran Stojadinović, Andrey Ustyuzhanin, Stan Zak
Publikováno v:
Journal of Big Data, Vol 10, Iss 1, Pp 1-21 (2023)
Abstract This article presents a taxonomy and represents a repository of open problems in computing for numerically and logically intensive problems in a number of disciplines that have to synergize for the best performance of simulation-based feasib
Externí odkaz:
https://doaj.org/article/5fc429a2f6b24396bfb370e39e6046ff
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
Publikováno v:
Machine Learning: Science and Technology, Vol 5, Iss 2, p 025055 (2024)
The discovery of conservation principles is crucial for understanding the fundamental behavior of both classical and quantum physical systems across numerous domains. This paper introduces an innovative method that merges representation learning and
Externí odkaz:
https://doaj.org/article/7906c970bedd47c486c8591387d2daf4
Autor:
Tommaso Dorigo, Andrea Giammanco, Pietro Vischia, Max Aehle, Mateusz Bawaj, Alexey Boldyrev, Pablo de Castro Manzano, Denis Derkach, Julien Donini, Auralee Edelen, Federica Fanzago, Nicolas R. Gauger, Christian Glaser, Atılım G. Baydin, Lukas Heinrich, Ralf Keidel, Jan Kieseler, Claudius Krause, Maxime Lagrange, Max Lamparth, Lukas Layer, Gernot Maier, Federico Nardi, Helge E.S. Pettersen, Alberto Ramos, Fedor Ratnikov, Dieter Röhrich, Roberto Ruiz de Austri, Pablo Martínez Ruiz del Árbol, Oleg Savchenko, Nathan Simpson, Giles C. Strong, Angela Taliercio, Mia Tosi, Andrey Ustyuzhanin, Haitham Zaraket
Publikováno v:
Reviews in Physics, Vol 10, Iss , Pp 100085- (2023)
The full optimization of the design and operation of instruments whose functioning relies on the interaction of radiation with matter is a super-human task, due to the large dimensionality of the space of possible choices for geometry, detection tech
Externí odkaz:
https://doaj.org/article/226f133fd21c4e9e8e0f30edd0daec70
Publikováno v:
PeerJ Computer Science, Vol 9, p e1241 (2023)
There are many problems in physics, biology, and other natural sciences in which symbolic regression can provide valuable insights and discover new laws of nature. Widespread deep neural networks do not provide interpretable solutions. Meanwhile, sym
Externí odkaz:
https://doaj.org/article/51faf45d794541d186fcbec567cc31ec
Publikováno v:
PeerJ Computer Science, Vol 9, p e1230 (2023)
The use of program code as a data source is increasingly expanding among data scientists. The purpose of the usage varies from the semantic classification of code to the automatic generation of programs. However, the machine learning model applicatio
Externí odkaz:
https://doaj.org/article/756b7fe1f8bc4874bafc5c85ee04b270