1 to 10 of 84 Results
Apr 11, 2024
Finkbeiner, Jan; Tovey, Samuel; Holm, Christian, 2024, "Replication Data for: Generating Minimal Training Sets for Machine Learned Potentials", https://doi.org/10.18419/darus-4099, DaRUS, V1
Data and scripts for replicating results and the investigation presented in the paper. This includes the dft parameters for generating training data, all training and data selection scripts for the neural networks, scripts for running and analysing the production simulations with... |
Apr 11, 2024 -
Replication Data for: Generating Minimal Training Sets for Machine Learned Potentials
Gzip Archive - 1.7 GB -
MD5: a7315aa714d0e0dbe2e05e8a275a73dc
Data for reproducing paper results. |
Aug 24, 2023
Tovey, Samuel; Krippendorf, Sven; Nikolaou, Konstantin; Holm, Christian, 2023, "Scripts and Data for "Towards a phenomenological understanding of neural networks: data"", https://doi.org/10.18419/darus-3691, DaRUS, V1
Data and scripts to reproduce the plots in the paper. Data is separated into two directories: Surfaces: All data for rebuilding the surfaces rnd-plots: Data to reproduce the rnd plots The scripts, once run, will produce the plots in the paper. |
Aug 24, 2023 -
Scripts and Data for "Towards a phenomenological understanding of neural networks: data"
Gzip Archive - 124.1 MB -
MD5: a513ca722602f2656a2b84aab060be6f
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Oct 24, 2022
Beyer, David; Košovan, Peter; Holm, Christian, 2022, "Electronic Supporting Information and Data for: Simulations Explain the Swelling Behavior of Hydrogels with Alternating Neutral and Weakly Acidic Blocks", https://doi.org/10.18419/darus-2277, DaRUS, V2
Electronic supporting information, simulation scripts, simulation data and plotting scripts for the paper "Simulations Explain the Swelling Behavior of Hydrogels with Alternating Neutral and Weakly Acidic Blocks". In this work we use coarse-grained computer simulations to investi... |
Python Source Code - 22.4 KB -
MD5: 095335829d24d4a78c06db96b9e27b05
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Plain Text - 868 B -
MD5: fc5fb9bac3ee0a2e57e432e8b4e4c480
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Adobe PDF - 783.3 KB -
MD5: 87cbb4b537f8978f5f0a8e37d72e7a80
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Fixed Field Text Data - 1.8 KB -
MD5: 24e54001ee83e75e24f53c0f2fa5a811
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Fixed Field Text Data - 3.9 KB -
MD5: 7637b6d7dfe19f9d899d5e2aaac092b6
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