001     1020059
005     20250401102818.0
024 7 _ |a 10.34734/FZJ-2023-05860
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037 _ _ |a FZJ-2023-05860
041 _ _ |a English
100 1 _ |a Wasmer, Johannes
|0 P:(DE-Juel1)186072
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111 2 _ |a WE-Heraeus workshop on First-principles Green function formalisms
|g GF2023
|c Athens
|d 2023-09-04 - 2023-09-07
|w Greece
245 _ _ |a Benchmark study of symmetry-adapted ML-DFT models for magnetically doped topological insulators
260 _ _ |c 2023
336 7 _ |a Conference Paper
|0 33
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336 7 _ |a Other
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336 7 _ |a INPROCEEDINGS
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336 7 _ |a Conference Presentation
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500 _ _ |a https://go.fzj.de/gf2023
502 _ _ |c RWTH Aachen University
520 _ _ |a We present a benchmark study of surrogate models for impurities embedded into crystalline solids. Using the Korringa-Kohn-Rostoker Green Function method [1], we have built databases of several thousand calculations of single impurities (monomers) embedded into different elemental crystals, as well as magnetic transition metal impurity dimers embedded in the topological insulator Bi2Te3. We predict the converged monomer impurity electron potential and the isotropic exchange interaction of the impurity dimer in the classical Heisenberg model. From these surrogates, we intend to build transferable models for larger systems in the future, which will accelerate the convergence of our DFT codes. The study compares various recent E(3)-equivariant models such as ACE and MACE [2] in terms of performance and reproducible end-to-end workflows. [1] P. Rüßmann et al., npj Comput Mater 7, 13 (2021) [2] I. Batatia et al., arXiv:2206.07697 (2022)
536 _ _ |a 5211 - Topological Matter (POF4-521)
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536 _ _ |a HDS LEE - Helmholtz School for Data Science in Life, Earth and Energy (HDS LEE) (HDS-LEE-20190612)
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536 _ _ |a DFG project 491111487 - Open-Access-Publikationskosten / 2022 - 2024 / Forschungszentrum Jülich (OAPKFZJ) (491111487)
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536 _ _ |a EXC 2004:  Matter and Light for Quantum Computing (ML4Q) (390534769)
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700 1 _ |a Mozumder, Rubel
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700 1 _ |a Rüssmann, Philipp
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700 1 _ |a Assent, Ira
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700 1 _ |a Blügel, Stefan
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856 4 _ |u https://iffgit.fz-juelich.de/phd-project-wasmer/presentations/2023-09-04-talk-gf2023
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