SimTech EXC 2075 Project Network 3 "Data-integrated model reduction for particles and continua"
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Unknown - 2.2 KB - MD5: 9e289235eb40f670134e066c250dcce1
GROMACS input file
Unknown - 2.5 KB - MD5: 47bc3512ee7f79f7eeb50778c5d8f27e
GROMACS input file
Markdown Text - 702 B - MD5: 6911101bd9e28fcef1923165b6ffbba7
README file explaining the content of the dataset
Shell Script - 363 B - MD5: 1ce7eb8c5165aa6687338d831b920188
Bash script
Shell Script - 363 B - MD5: 1ce7eb8c5165aa6687338d831b920188
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application/vnd.shana.informed.formtemplate - 933 B - MD5: 1e996387ad050a7f9b8fbc84ae4abd4e
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Unknown - 156 B - MD5: 007f9bfb1df3f3548803f6d568bef34d
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Unknown - 159 B - MD5: ac3a08e7abbf739f86f7968a2dddb5f8
GROMACS topology file
PN 3-11(Universität Stuttgart)
Feb 28, 2023
Biological Molecular Dynamics Simulations
Jan 11, 2023 - Materials Design
Jung, Jong Hyun; Srinivasan, Prashanth; Forslund, Axel; Grabowski, Blazej, 2023, "Data for: High-accuracy thermodynamic properties to the melting point from ab initio calculations aided by machine-learning potentials", https://doi.org/10.18419/DARUS-3239, DaRUS, V1
Data for the publication High-accuracy thermodynamic properties to the melting point from ab initio calculations aided by machine-learning potentials, npj Comput. Mater., DOI: 10.1038/s41524-022-00956-8 (2023) This data set contains - the training sets (VASP files), - the low moment-tensor-potentials (MTPs) and high-MTPs, - the effective quasiharmo...
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