Výsledky vyhledávání - "Hilgers, Robin"

Curie Temperature Prediction Models of Magnetic Heusler Alloys Using Machine Learning Methods Based on First-Principles Data From Ab-initio KKR-GF Calculations

Autor: Hilgers, Robin, Wortmann, Daniel, Blügel, Stefan, Kovacik, Roman

Publikováno v: APS March Meeting, Las Vegas, Nevada, USA, 2023-03-06-2023-03-10

Ordered and disordered magnetic Heusler alloys are an important class of materials in science and applications. Using Curie temperatures (Tc) of Heusler alloys calculated by the Korringa-Kohn-Rostoker Green function (KKR-GF) method and a subsequent M

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3364::35c63e7e29ee2e84536f46a42ef1ced0
https://hdl.handle.net/2128/34323

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Curie Temperature Prediction of Magnetic Heusler Alloys Using Ab-initio Data

Autor: Hilgers, Robin, Wortmann, Daniel, Blügel, Stefan, Witthaut, Dirk, Assent, Ira

Publikováno v: HDS-LEE Evaluation, Jülich, RWTH Aachen, Germany, 2023-02-13-2023-02-14

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3364::5fb2c41606ef7046180acb2e2a4a67ef
https://hdl.handle.net/2128/34320

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Application of Machine-Learning Models and XAI in Materials Science Using Magnetic DFT Data

Autor: Hilgers, Robin, Wortmann, Daniel, Blügel, Stefan

Publikováno v: Helmholtz.Ai, Hamburg, Germany, 2023-06-13-2023-06-14

Helmholtz.Ai, Hamburg, Germany, 13 Jun 2023 - 14 Jun 2023
The prediction of material properties using ab-initio simulations [1] is a research field of fundamental significance due to the multitude of materials applications in technology and rese

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0dda762c08c852d2d17ab6e87c5f265f

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