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Publication Year: 2023

18,861 to 18,870 of 18,892 Results

2022-KW15_subsample.las Jan 17, 2023 - Measurement data: Laser scanning of timber buidlings Unknown - 82.9 MB - MD5: 5ed32cbf8595b224719bfa361f9b7760 Pointcloud of building 2022-KW15_subsample of points reducting the file size for visualisation (not evaluation)
_testmeasurement_MPA_Stuttgart_beam1.las Jan 17, 2023 - Measurement data: Laser scanning of timber buidlings Unknown - 115.0 MB - MD5: 302c155a44e01898f358f6348cee0a95 Point cloud of the test measurement at MPA Stuttgart_beam1
_testmeasurement_MPA_Stuttgart_beam2.las Jan 17, 2023 - Measurement data: Laser scanning of timber buidlings Unknown - 100.6 MB - MD5: d937db0144c5c741bbbd75c9169a56cf Point cloud of the test measurement at MPA Stuttgart_beam2
_testmeasurement_MPA_Stuttgart_beam3.las Jan 17, 2023 - Measurement data: Laser scanning of timber buidlings Unknown - 121.6 MB - MD5: e9b2aa3251df14ddf368bc6c4498d5b6 Point cloud of the test measurement at MPA Stuttgart_beam3
Ikarus(Universität Stuttgart) Jan 17, 2023Institute for Structural Mechanics
SFB 1244 "Adaptive skins and structures for the built environment of tomorrow"(Universität Stuttgart) Jan 12, 2023
Data for: High-accuracy thermodynamic properties to the melting point from ab initio calculations aided by machine-learning potentials 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...
Al_fcc_LDA.tar.gz Jan 11, 2023 - Data for: High-accuracy thermodynamic properties to the melting point from ab initio calculations aided by machine-learning potentials Gzip Archive - 66.7 MB - MD5: 96d9e0e99ff31894f8edf7d35aeec759 The training sets (VASP files), the low moment-tensor-potentials (MTPs) and high-MTPs, and the effective quasiharmonic (QH) potentials for fcc Al using the LDA functional.
Al_fcc_PBE.tar.gz Jan 11, 2023 - Data for: High-accuracy thermodynamic properties to the melting point from ab initio calculations aided by machine-learning potentials Gzip Archive - 63.9 MB - MD5: d81a43c176663737adeedebfa9a4fddf The training sets (VASP files), the low moment-tensor-potentials (MTPs) and high-MTPs, and the effective quasiharmonic (QH) potentials for fcc Al using the PBE functional.
Mg_hcp_LDA.tar.gz Jan 11, 2023 - Data for: High-accuracy thermodynamic properties to the melting point from ab initio calculations aided by machine-learning potentials Gzip Archive - 28.7 MB - MD5: 99759fecf1596bb8f9a614bfdce2adb3 The training sets (VASP files), the low moment-tensor-potentials (MTPs) and high-MTPs, and the effective quasiharmonic (QH) potentials for hcp Mg using the LDA functional.

2022-KW15_subsample.las

Jan 17, 2023 - Measurement data: Laser scanning of timber buidlings

Unknown - 82.9 MB -

Pointcloud of building 2022-KW15_subsample of points reducting the file size for visualisation (not evaluation)

_testmeasurement_MPA_Stuttgart_beam1.las

Jan 17, 2023 - Measurement data: Laser scanning of timber buidlings

Unknown - 115.0 MB -

Point cloud of the test measurement at MPA Stuttgart_beam1

_testmeasurement_MPA_Stuttgart_beam2.las

Jan 17, 2023 - Measurement data: Laser scanning of timber buidlings

Unknown - 100.6 MB -

Point cloud of the test measurement at MPA Stuttgart_beam2

_testmeasurement_MPA_Stuttgart_beam3.las

Jan 17, 2023 - Measurement data: Laser scanning of timber buidlings

Unknown - 121.6 MB -

Point cloud of the test measurement at MPA Stuttgart_beam3

Ikarus(Universität Stuttgart)

Jan 17, 2023Institute for Structural Mechanics

SFB 1244 "Adaptive skins and structures for the built environment of tomorrow"(Universität Stuttgart)

Jan 12, 2023

Data for: High-accuracy thermodynamic properties to the melting point from ab initio calculations aided by machine-learning potentials

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...

Al_fcc_LDA.tar.gz

Jan 11, 2023 - Data for: High-accuracy thermodynamic properties to the melting point from ab initio calculations aided by machine-learning potentials

Gzip Archive - 66.7 MB -

The training sets (VASP files), the low moment-tensor-potentials (MTPs) and high-MTPs, and the effective quasiharmonic (QH) potentials for fcc Al using the LDA functional.

Al_fcc_PBE.tar.gz

Jan 11, 2023 - Data for: High-accuracy thermodynamic properties to the melting point from ab initio calculations aided by machine-learning potentials

Gzip Archive - 63.9 MB -

The training sets (VASP files), the low moment-tensor-potentials (MTPs) and high-MTPs, and the effective quasiharmonic (QH) potentials for fcc Al using the PBE functional.

Mg_hcp_LDA.tar.gz

Jan 11, 2023 - Data for: High-accuracy thermodynamic properties to the melting point from ab initio calculations aided by machine-learning potentials

Gzip Archive - 28.7 MB -

The training sets (VASP files), the low moment-tensor-potentials (MTPs) and high-MTPs, and the effective quasiharmonic (QH) potentials for hcp Mg using the LDA functional.

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