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EXC 2004:Â Matter and Light for Quantum Computing (ML4Q)
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EXC 2004:Â Matter and Light for Quantum Computing (ML4Q)
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1
Software
JuDFTteam/aiida-jutools
Wasmer
,
Johannes
2023
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2
Conference Presentation
Benchmark study of symmetry-adapted ML-DFT models for magnetically doped topological insulators
Wasmer
,
Johannes
2023
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Johannes
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3
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Comparison of structural representations for machine learning-enhanced DFT of impurity embeddings
Wasmer
,
Johannes
2022
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4
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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JuDFTteam/aiida-kkr
Rüssmann, Philipp
2020
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Johannes
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Software
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Rüssmann, Philipp
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Wasmer, Johannes
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Bertoldo, Fabian
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EXC 2004:Â Matter and Light for Quantum Computing (ML4Q)
Topological Matter
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Joint Virtual Laboratort for AI, Data Analytics and Scalable Simulation
4
EXC 2004: Materie und Licht für Quanteninformation (ML4Q)
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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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Quanten-Theorie der Materialien; IAS-1
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JARA - HPC; JARA-HPC
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