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61 to 70 of 1,283 Results
simple.zip
May 8, 2026 - Replication Data for: Fine-Tuning Large Language Models for JSON Schema Generation and Modification
ZIP Archive - 5.9 KB - MD5: bc49b8ecd3ab9b2d811c73b4a6ab66c2
simple.zip
May 8, 2026 - Replication Data for: Fine-Tuning Large Language Models for JSON Schema Generation and Modification
ZIP Archive - 5.6 KB - MD5: b22644162af3be138a0933660ab3056c
precice-v3.2.0-dev.tar.gz
Apr 21, 2026 - Replication Data for: Data-Parallel PU-RBF Interpolation
Gzip Archive - 1.7 MB - MD5: d3afd3d7f769763dc438921b2423fa25
preCICE develop version (commit 46ec278408994d86717bcd36800fa72507068b9e) and the additional PU-RBF GPU implementation.
fenicsx-adapter-1.0.0.tar.gz
Apr 9, 2026 - Replication Data for: Version 1.0.0 - FEniCSx-preCICE: Coupling FEniCSx to other simulation software
Gzip Archive - 28.1 KB - MD5: e68384b0ff72653c5c9d28544504577c
Source code of FEniCSx-preCICE: a preCICE adapter for FEniCSx
test-cases.tar.gz
Apr 9, 2026 - Replication Data for: Version 1.0.0 - FEniCSx-preCICE: Coupling FEniCSx to other simulation software
Gzip Archive - 3.4 MB - MD5: 7bd5e4f64112d8de203a97ce2939bb9d
Test cases with full setups.
README.md
Apr 9, 2026 - Replication Data for: Version 1.0.0 - FEniCSx-preCICE: Coupling FEniCSx to other simulation software
Markdown Text - 784 B - MD5: a7b927cd70146ec49ae5b09bb329f3dd
Basic information about the dataset.
case.tar.xz
Mar 6, 2026 - Replication Data for: Convergence-aware adaptivity for efficient many-to-one multi-scale simulations
XZ Archive - 28.0 KB - MD5: e6467038560c3e487d86926fd0607943
postprocessing.tar.xz
Mar 6, 2026 - Replication Data for: Convergence-aware adaptivity for efficient many-to-one multi-scale simulations
XZ Archive - 1.8 KB - MD5: 7371daa14b2d233af5dcfe62d63674c2
README.md
Mar 6, 2026 - Replication Data for: Convergence-aware adaptivity for efficient many-to-one multi-scale simulations
Markdown Text - 1.4 KB - MD5: be8ed03b2c6a9b8b31a8e21fd814c1ed
results.tar.xz
Mar 6, 2026 - Replication Data for: Convergence-aware adaptivity for efficient many-to-one multi-scale simulations
XZ Archive - 1.4 MB - MD5: 927f83651173f2584439517b806a72eb
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