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pro vyhledávání: '"Parackal, Abhijith S."'
The advent of machine learning in materials science opens the way for exciting and ambitious simulations of large systems and long time scales with the accuracy of ab-initio calculations. Recently, several pre-trained universal machine learned intera
Externí odkaz:
http://arxiv.org/abs/2406.17499
The large amount of powder diffraction data for which the corresponding crystal structures have not yet been identified suggests the existence of numerous undiscovered, physically relevant crystal structure prototypes. In this paper, we present a sch
Externí odkaz:
http://arxiv.org/abs/2309.16454
Autor:
Davidsson, Joel, Stenlund, William, Parackal, Abhijith S, Armiento, Rickard, Abrikosov, Igor A.
Publikováno v:
npj Comput Mater 10, 109 (2024)
Color centers in diamond are at the forefront of the second quantum revolution. A handful of defects are in use, and finding ones with all the desired properties for quantum applications is arduous. By using high-throughput calculations, we screen 21
Externí odkaz:
http://arxiv.org/abs/2306.11116
Autor:
Goodall, Rhys E. A., Parackal, Abhijith S., Faber, Felix A., Armiento, Rickard, Lee, Alpha A.
A fundamental challenge in materials science pertains to elucidating the relationship between stoichiometry, stability, structure, and property. Recent advances have shown that machine learning can be used to learn such relationships, allowing the st
Externí odkaz:
http://arxiv.org/abs/2106.11132
Akademický článek
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Autor:
Davidsson, Joel, Stenlund, William, Parackal, Abhijith S., Armiento, Rickard, Abrikosov, Igor A.
Publikováno v:
NPJ Computational Materials; 5/23/2024, Vol. 10 Issue 1, p1-9, 9p
A fundamental challenge in materials science pertains to elucidating the relationship between stoichiometry, stability, structure, and property. Recent advances have shown that machine learning can be used to learn such relationships, allowing the st
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::36920a09e602b0a5fbefdbed05d08bb4
Akademický článek
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