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1 Ergebnisse
1
Nanohardness from First Principles with Active Learning on ..:
Evgeny V. Podryabinkin (9115376)
;
Alexander G. Kvashnin (1306770)
;
Milad Asgarpour (11914580)
...
https://figshare.com/articles/journal_contribution/Nanohardness_from_First_Principles_with_Active_Learning_on_Atomic_Environments/17944643. , 2022
Link:
https://doi.org/10.1021/acs.jctc.1c00783.s001
RT Journal T1
Nanohardness from First Principles with Active Learning on Atomic Environments
UL https://suche.suub.uni-bremen.de/peid=base-ftsmithonian:oai:figshare.com:article_17944643&Exemplar=1&LAN=DE A1 Evgeny V. Podryabinkin (9115376) A1 Alexander G. Kvashnin (1306770) A1 Milad Asgarpour (11914580) A1 Igor I. Maslenikov (11914583) A1 Danila A. Ovsyannikov (11914586) A1 Pavel B. Sorokin (1235445) A1 Mikhail Yu Popov (11914589) A1 Alexander V. Shapeev (8340072) YR 2022 K1 Biophysics K1 Medicine K1 Cell Biology K1 Neuroscience K1 Biotechnology K1 Evolutionary Biology K1 Mental Health K1 Infectious Diseases K1 Computational Biology K1 Mathematical Sciences not elsewhere classified K1 Physical Sciences not elsewhere classified K1 Information Systems not elsewhere classified K1 sufficient predictive power K1 literature provides evidence K1 exceptional hardness directly K1 empirical models fitted K1 large nanoindentation simulation K1 2 </ sub K1 observed agreement K1 mechanical calculations K1 local fragments K1 first principles K1 experimental results K1 experimental measurements K1 especially valuable K1 designing materials K1 crystallographic orientation K1 calibrated values K1 atomistic simulations K1 atomic environments K1 active learning JF https://figshare.com/articles/journal_contribution/Nanohardness_from_First_Principles_with_Active_Learning_on_Atomic_Environments/17944643 LK http://dx.doi.org/https://doi.org/10.1021/acs.jctc.1c00783.s001 DO https://doi.org/10.1021/acs.jctc.1c00783.s001 SF ELIB - SuUB Bremen
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