This title appears in the Scientific Report :
2023
Please use the identifier:
http://dx.doi.org/10.5281/ZENODO.10441576 in citations.
Please use the identifier: http://dx.doi.org/10.34734/FZJ-2024-01472 in citations.
Machine Learning Emulators for First-Principles Simulations of Quantum Materials
Machine Learning Emulators for First-Principles Simulations of Quantum Materials
Poster about Johannes Wasmer's PhD project, presented at the HDS-LEE Midterm Evaluation in February 2023.
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Personal Name(s): | Wasmer, Johannes |
---|---|
Rüssmann, Philipp / Assent, Ira / Blügel, Stefan | |
Contributing Institute: |
Quanten-Theorie der Materialien; PGI-1 Quanten-Theorie der Materialien; IAS-1 |
Imprint: |
2023
|
DOI: |
10.5281/ZENODO.10441576 |
DOI: |
10.34734/FZJ-2024-01472 |
Conference: | HDS-LEE internal event, Jülich (Germany), 2023-02-13 - 2023-02-15 |
Document Type: |
Poster |
Research Program: |
Joint Virtual Laboratort for AI, Data Analytics and Scalable Simulation Helmholtz School for Data Science in Life, Earth and Energy (HDS LEE) Topological Matter |
Subject (ZB): | |
Link: |
Get full text OpenAccess |
Publikationsportal JuSER |
Please use the identifier: http://dx.doi.org/10.34734/FZJ-2024-01472 in citations.
Poster about Johannes Wasmer's PhD project, presented at the HDS-LEE Midterm Evaluation in February 2023. |