1 to 10 of 3,549 Results
Jul 29, 2026 - Analytic Computing
Hernández, Daniel; Jung, Jong Hyun; Ikeda, Yuji; Ou, Yongliang; Kumar, Pranav; Schächtel, Tom; Liu, Wenchuan; Li, Xin; Zhang, Xi; Xu, Xiang; Zhu, Li-Fang; Körmann, Fritz; Staab, Steffen; Grabowski, Blazej, 2026, "MLIPs Ontology", https://doi.org/10.18419/DARUS-5948, DaRUS, V1
MLIPs Ontology: An Ontology for Machine Learning Interatomic Potentials More information can be found in the README.md. |
Jul 29, 2026 -
MLIPs Ontology
Unknown - 3.8 KB -
MD5: a76536fa3cda2713dc58ff33af06e6ca
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Jul 29, 2026 -
MLIPs Ontology
JSON - 5.3 KB -
MD5: e5a14f7d5f26a1d4f9d5e946f56f2314
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Jul 29, 2026 -
MLIPs Ontology
Plain Text - 18.2 KB -
MD5: 2ab724713fdaf49e4523c4503bfd068d
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Jul 29, 2026 -
MLIPs Ontology
Unknown - 1003.4 KB -
MD5: cbf029aa9dc4804ca55adc281ee81948
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Jul 29, 2026 -
MLIPs Ontology
Markdown Text - 5.2 KB -
MD5: 4eb897f47af124fb4c6ab3962d48ea36
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Jul 9, 2026 - Analytic Computing
Thapa, Ratan Bahadur; Hernández, Daniel, 2026, "Artifacts for: Identifiability of Relational Queries in Multi-View Pretraining", https://doi.org/10.18419/DARUS-6292, DaRUS, V1
This dataset contains the complete replication artifacts for the paper Identifiability of Relational Queries in Multi-View Pretraining (Ratan Bahadur Thapa and Daniel Hernández). The paper studies when a relational query is identifiable from a data-integration interface—that is, when every legal completion of the data consistent with the interface... |
Unknown - 1.5 KB -
MD5: b201c1bb7da6762942f6e0ea7b45173c
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MD5: 80c8fbf80a04d4e4f455dd178aab5c0d
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MD5: 6165fe29889d237bf90650491d0763a0
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