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641 to 650 of 25,631 Results
raw_test_data.zip
Aug 13, 2026 - Steps 1-3b: Raw Simulation Data
ZIP Archive - 16.7 GB - MD5: c4de2ed569f164b3fe719d231bc95b45
Data
Hidden raw data of test files. Access by request only.
raw_test_data.zip
Aug 13, 2026 - Steps 1-3b: Raw Simulation Data
ZIP Archive - 12.1 GB - MD5: e97e24ab0dd94084b78b9784f6e33ff7
Data
Hidden raw test data. Access by request only.
raw_test_data.zip
Aug 13, 2026 - Steps 1-3b: Raw Simulation Data
ZIP Archive - 7.9 GB - MD5: 25484ee7561c048385e04e48e30e04b2
Data
Hidden raw data of test files. Access by request only.
raw_test_data.zip
Aug 13, 2026 - Steps 1-3b: Raw Simulation Data
ZIP Archive - 25.9 GB - MD5: e813b0326ee46e226d0b60822bc9db9b
Data
Hidden raw data of test files. Access by request only.
raw_training_data_PART2.zip
Aug 13, 2026 - Steps 1-3b: Raw Simulation Data
ZIP Archive - 55.2 GB - MD5: 823162f42a3f93bee0a83e7e0bd86518
Data
raw_training_data_PART3.zip
Aug 13, 2026 - Steps 1-3b: Raw Simulation Data
ZIP Archive - 40.4 GB - MD5: 43d9ed0b4fd483332ac989aa9a8f6eef
Data
Replication Data for: How to Train a Shallow Ensemble
Aug 12, 2026 - PN 6A-3
Schäfer, Moritz; Kellner, Matthias; Kästner, Johannes; Ceriotti, Michele, 2026, "Replication Data for: How to Train a Shallow Ensemble", https://doi.org/10.18419/DARUS-6366, DaRUS, V1
This repository accompanies our paper on "How to Train a Shallow Ensemble". It includes workflows and input files needed to reproduce the results. Most of the experiments are contained in the directory "0_convergence_nll_training". There is a separate directory for the experiments performed for the first revision of the publication and for the repe...
train_atoms_bmim_nod3.extxyz
Aug 12, 2026 - Replication Data for: How to Train a Shallow Ensemble
Unknown - 51.1 MB - MD5: a82b6a68bedf20e5c03657fb0e99ad8f
Data
complete repository accompanying the manuscript
uncertainty_project.tar.zst
Aug 12, 2026 - Replication Data for: How to Train a Shallow Ensemble
Unknown - 1.2 GB - MD5: e6adb5cfd217cf5536bf95552c111bec
Data
complete repository accompanying the manuscript
val_atoms_bmim_nod3.extxyz
Aug 12, 2026 - Replication Data for: How to Train a Shallow Ensemble
Unknown - 3.0 MB - MD5: 9e0f05173fe02f700cafc1e2a8ebd988
Data
complete repository accompanying the manuscript
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