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of 46
pro vyhledávání: '"Sagvolden, Espen"'
Autor:
Zhang, Hang, Hippalgaonkar, Kedar, Buonassisi, Tonio, Løvvik, Ole M., Sagvolden, Espen, Ding, Ding
Publikováno v:
ES Energy Environ. 2018, 2, 1-8
High-throughput computational and experimental design of materials aided by machine learning have become an increasingly important field in material science. This area of research has emerged in leaps and bounds in the thermal sciences, in part due t
Externí odkaz:
http://arxiv.org/abs/1901.05801
Autor:
Tellgren, Erik I., Kvaal, Simen, Sagvolden, Espen, Ekström, Ulf, Teale, Andrew M., Helgaker, Trygve
The selection of basic variables in current-density functional theory and formal properties of the resulting formulations are critically examined. Focus is placed on the extent to which the Hohenberg--Kohn theorem, constrained-search approach and Lie
Externí odkaz:
http://arxiv.org/abs/1210.2291
Under a certain scaling, the electron densities of finite systems become both large and slowly-varying, so that the gradient expansions of the density functionals for the Kohn-Sham kinetic and exchange energies become asymptotically exact to order $\
Externí odkaz:
http://arxiv.org/abs/quant-ph/0605062
Publikováno v:
In Materials Science & Engineering A 11 February 2015 625:153-157
Akademický článek
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Autor:
Stro\msheim, Marie D., Kumar, Naveen, Coriani, Sonia, Sagvolden, Espen, Teale, Andrew M., Helgaker, Trygve
Publikováno v:
Journal of Chemical Physics; 11/21/2011, Vol. 135 Issue 19, p194109, 16p