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1 Ergebnisse
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Machine learning surrogate models for strain-dependent vibr..:
Lapointe, Clovis
;
Swinburne, Thomas D
;
Proville, Laurent
...
info:eu-repo/semantics/altIdentifier/doi/10.1103/physrevmaterials.6.113803. , 2022
Link:
https://hal.univ-lille.fr/hal-03879650
RT Journal T1 <Title>Machine learning surrogate models for strain-dependent vibrational properties and migration rates of point defects</Title> UL https://suche.suub.uni-bremen.de/peid=base-ftunivaixmarseil:oai:HAL:hal-03879650v1&Exemplar=1&LAN=DE A1 Lapointe, Clovis A1 Swinburne, Thomas D A1 Proville, Laurent A1 Becquart, Charlotte A1 Mousseau, Normand A1 Marinica, Mihai-Cosmin PB HAL CCSD; American Physical Society YR 2022 K1 Harmonic approximation K1 defects K1 Machine Learning K1 vibrational entropy K1 attack frequency K1 migra- tion rates K1 energy-entropy correlations K1 compensation law K1 [CHIM.MATE]Chemical Sciences/Material chemistry K1 [PHYS.COND.CM-MS]Physics [physics]/Condensed Matter [cond-mat]/Materials Science [cond-mat.mtrl-sci] JF info:eu-repo/semantics/altIdentifier/doi/10.1103/physrevmaterials.6.113803 LK http://dx.doi.org/https://hal.univ-lille.fr/hal-03879650 DO https://hal.univ-lille.fr/hal-03879650 SF ELIB - SuUB Bremen
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