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| 001 | 1029575 | ||
| 005 | 20260122220037.0 | ||
| 024 | 7 | _ | |2 doi |a 10.5281/ZENODO.13253918 |
| 037 | _ | _ | |a FZJ-2024-05181 |
| 041 | _ | _ | |a English |
| 100 | 1 | _ | |0 P:(DE-Juel1)188513 |a Sarma, Rakesh |b 0 |e Corresponding author |
| 111 | 2 | _ | |a IEK-internal Seminar |d 2024-07-08 - 2024-07-08 |w Germany |
| 245 | _ | _ | |a Digital Twin Engine for Science: an ML Workflow perspective |f 2024-07-08 - |
| 260 | _ | _ | |c 2024 |
| 336 | 7 | _ | |0 33 |2 EndNote |a Conference Paper |
| 336 | 7 | _ | |2 DataCite |a Other |
| 336 | 7 | _ | |2 BibTeX |a INPROCEEDINGS |
| 336 | 7 | _ | |2 ORCID |a LECTURE_SPEECH |
| 336 | 7 | _ | |0 PUB:(DE-HGF)31 |2 PUB:(DE-HGF) |a Talk (non-conference) |b talk |m talk |s 1724053655_8311 |x Other |
| 336 | 7 | _ | |2 DINI |a Other |
| 520 | _ | _ | |a This presentation provides an overview on the ML workflow approach adopted in the interTwin project. Initially an introduction to the project is provided, followed by the details on the itwinai library, example of an integration of a use-case, and finally some conclusions are drawn and relevant links are provided. The presentation was part of an internal seminar at the Institut für Energie- und Klimaforschung (IEK) at Forschungszentrum Jülich. |
| 536 | _ | _ | |0 G:(DE-HGF)POF4-5111 |a 5111 - Domain-Specific Simulation & Data Life Cycle Labs (SDLs) and Research Groups (POF4-511) |c POF4-511 |f POF IV |x 0 |
| 536 | _ | _ | |0 G:(EU-Grant)101058386 |a interTwin - An interdisciplinary Digital Twin Engine for science (101058386) |c 101058386 |f HORIZON-INFRA-2021-TECH-01 |x 1 |
| 536 | _ | _ | |0 G:(DE-Juel-1)SDLFSE |a SDL Fluids & Solids Engineering |c SDLFSE |x 2 |
| 588 | _ | _ | |a Dataset connected to DataCite |
| 700 | 1 | _ | |0 P:(DE-Juel1)177985 |a Rüttgers, Mario |b 1 |
| 700 | 1 | _ | |0 0009-0008-5100-9300 |a Bunino, Matteo |b 2 |
| 700 | 1 | _ | |0 P:(DE-Juel1)165948 |a Lintermann, Andreas |b 3 |
| 773 | _ | _ | |a 10.5281/ZENODO.13253918 |
| 856 | 4 | _ | |u https://zenodo.org/records/13253918 |
| 909 | C | O | |o oai:juser.fz-juelich.de:1029575 |p openaire |p VDB |p ec_fundedresources |
| 910 | 1 | _ | |0 I:(DE-588b)5008462-8 |6 P:(DE-Juel1)188513 |a Forschungszentrum Jülich |b 0 |k FZJ |
| 910 | 1 | _ | |0 I:(DE-588b)5008462-8 |6 P:(DE-Juel1)177985 |a Forschungszentrum Jülich |b 1 |k FZJ |
| 910 | 1 | _ | |0 I:(DE-588b)5008462-8 |6 P:(DE-Juel1)165948 |a Forschungszentrum Jülich |b 3 |k FZJ |
| 913 | 1 | _ | |0 G:(DE-HGF)POF4-511 |1 G:(DE-HGF)POF4-510 |2 G:(DE-HGF)POF4-500 |3 G:(DE-HGF)POF4 |4 G:(DE-HGF)POF |9 G:(DE-HGF)POF4-5111 |a DE-HGF |b Key Technologies |l Engineering Digital Futures – Supercomputing, Data Management and Information Security for Knowledge and Action |v Enabling Computational- & Data-Intensive Science and Engineering |x 0 |
| 914 | 1 | _ | |y 2024 |
| 920 | 1 | _ | |0 I:(DE-Juel1)JSC-20090406 |k JSC |l Jülich Supercomputing Center |x 0 |
| 980 | _ | _ | |a talk |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a I:(DE-Juel1)JSC-20090406 |
| 980 | _ | _ | |a UNRESTRICTED |
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