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EXC 2004: Materie und Licht für Quanteninformation (ML4Q)
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EXC 2004: Materie und Licht für Quanteninformation (ML4Q)
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Conference Presentation
Benchmark study of symmetry-adapted ML-DFT models for magnetically doped topological insulators
Wasmer
,
Johannes
2023
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Comparison of structural representations for machine learning-enhanced DFT of impurity embeddings
Wasmer
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Johannes
2022
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Master Thesis
Development of a surrogate machine learning model for the acceleration of density functional calculations with the Korringa-Kohn-Rostoker method
Wasmer
,
Johannes
2021
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Johannes
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Conference Presentation
1
Master Thesis
1
Poster
1
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Blügel, Stefan
3
Rüssmann, Philipp
3
Wasmer, Johannes
3
Assent, Ira
1
Berkels, Benjamin
1
Mozumder, Rubel
1
Research Program
EXC 2004: Materie und Licht für Quanteninformation (ML4Q)
EXC 2004:Â Matter and Light for Quantum Computing (ML4Q)
3
Joint Virtual Laboratort for AI, Data Analytics and Scalable Simulation
3
Topological Matter
3
Helmholtz School for Data Science in Life, Earth and Energy (HDS LEE)
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Open-Access-Publikationskosten / 2022 - 2024 / Forschungszentrum Jülich (OAPKFZJ)
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Contributing Institute
Quanten-Theorie der Materialien; IAS-1
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Quanten-Theorie der Materialien; PGI-1
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2023
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