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Helmholtz School for Data Science in Life, Earth and Energy (HDS LEE)
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Joint Virtual Laboratort for AI, Data Analytics and Scalable Simulation
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Helmholtz School for Data Science in Life, Earth and Energy (HDS LEE)
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Joint Virtual Laboratort for AI, Data Analytics and Scalable Simulation
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1
Website
Best of Atomistic Machine Learning
Wasmer, Johannes
2023
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2
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JuDFTteam/aiida-jutools
Wasmer, Johannes
2023
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3
Conference Presentation
Benchmark study of symmetry-adapted ML-DFT models for magnetically doped topological insulators
Wasmer, Johannes
2023
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Machine Learning Emulators for First-Principles Simulations of Quantum Materials
Wasmer, Johannes
2023
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5
Conference Presentation
Benchmark study of symmetry-adapted ML-DFT models for magnetically doped topological insulators
Wasmer, Johannes
2022
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Benchmark study of symmetry-adapted ML-DFT models for magnetically doped topological insulators
Wasmer, Johannes
2022
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6
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4
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Conference Presentation
2
Poster
2
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1
Website
1
Name
Wasmer, Johannes
6
Rüssmann, Philipp
5
Assent, Ira
4
Blügel, Stefan
4
Mozumder, Rubel
3
Blaiszik, Ben
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Evans, Matthew
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Kovacik, Roman
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Riebesell, Janosh
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Research Program
Helmholtz School for Data Science in Life, Earth and Energy (HDS LEE)
Joint Virtual Laboratort for AI, Data Analytics and Scalable Simulation
Topological Matter
5
Open-Access-Publikationskosten / 2022 - 2024 / Forschungszentrum Jülich (OAPKFZJ)
4
Cross-Domain Algorithms, Tools, Methods Labs (ATMLs) and Research Groups
2
EXC 2004:Â Matter and Light for Quantum Computing (ML4Q)
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Domain-Specific Simulation & Data Life Cycle Labs (SDLs) and Research Groups
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EXC 2004: Materie und Licht für Quanteninformation (ML4Q)
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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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