Zobrazeno 1 - 10
of 190
pro vyhledávání: '"Lebegue, Sebastien"'
Autor:
Scheid, Philippe, Hohlfeld, Julius, Malinowski, Gregory, Bergman, Anders, Hehn, Michel, Zhang, Wei, Eriksson, Olle, Lebègue, Sébastien, Mangin, Stéphane
Time resolved measurements of the linear magneto-optical Kerr rotation reveal that, in the {\it 3d} ferromagnets Fe, Co and Ni, the amplitude of the demagnetization increases linearly with the fluence of the light. We rationalize this phenomenon as b
Externí odkaz:
http://arxiv.org/abs/2301.01055
Autor:
Fatihi, Mohamed Yassine, Lamhani, Mohammed, Oukahou, Said, Benaddi, Ayoub, Elomrani, Abdelali, Haouas, Hayat, Lebègue, Sébastien, Hasnaoui, Abdellatif
Publikováno v:
In Journal of Energy Storage 1 October 2024 99 Part A
Autor:
Herzog, Basile, da Silva, Mauricio Chagas, Casier, Bastien, Badawi, Michael, Pascale, Fabien, Bucko, Tomas, Lebegue, Sebastien, Rocca, Dario
Machine learning thermodynamic perturbation theory (MLPT) is a promising approach to compute finite temperature properties when the goal is to compare several different levels of ab initio theory and/or to apply highly expensive computational methods
Externí odkaz:
http://arxiv.org/abs/2110.06818
Hybrid localized graph kernel for machine learning energy-related properties of molecules and solids
Autor:
Casier, Bastien, da Silva, Mauricio Chagas, Badawi, Michael, Pascale, Fabien, Bučko, Tomáš, Lebègue, Sébastien, Rocca, Dario
Nowadays, the coupling of electronic structure and machine learning techniques serves as a powerful tool to predict chemical and physical properties of a broad range of systems. With the aim of improving the accuracy of predictions, a large number of
Externí odkaz:
http://arxiv.org/abs/2011.07302
Autor:
Chen, Shuo, Gueddida, Saber, Badawi, Michael, Lebègue, Sébastien, Giraudon, Jean-Marc, Dhainaut, Jérémy, Royer, Sébastien, Lamonier, Jean-Francois
Publikováno v:
In Applied Catalysis B: Environment and Energy 15 August 2023 331
Publikováno v:
Phys. Rev. Materials 3, 040801 (2019)
We introduce the "selPT" perturbative approach, based on ab initio molecular dynamics (AIMD), for computing accurate finite-temperature properties by efficiently using correlated wave-function methods. We demonstrate the power of the method by comput
Externí odkaz:
http://arxiv.org/abs/1904.05605
Publikováno v:
In Applied Surface Science 1 February 2023 610
Akademický článek
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Publikováno v:
In Journal of Magnetism and Magnetic Materials 15 October 2022 560
Publikováno v:
In Journal of Materials Research and Technology May-June 2022 18:2546-2551