Stuttgart Center for Simulation Science (SC SimTech)

EXC 2075 Project Networks

SIGDIUS

Projects without PN Affiliation

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25,231 to 25,240 of 25,658 Results

relativePermeabilities.m Nov 24, 2021 - Code for relative permeabilities for two-phase flow between parallel plates with slip conditions Objective-C Source Code - 4.3 KB - MD5: f05cb34f371fe59b9208e7b5ea9f42a4 Calculation of relative permeabilities
tBME project(Universität Stuttgart) Nov 23, 2021Stochastic Simulation and Safety Research for Hydrosystems (LS3) tBME project
PN 1-6(Universität Stuttgart) Nov 22, 2021PN 1 SimTech Project PN 1-6 "Upscaling of two-phase porous media flow based on fluid morphology."
Code for: Fast and Sample-Efficient Interatomic Neural Network Potentials for Molecules and Materials Based on Gaussian Moments Oct 15, 2021 - PN 6 Zaverkin, Viktor; Holzmüller, David; Steinwart, Ingo; Kästner, Johannes, 2021, "Code for: Fast and Sample-Efficient Interatomic Neural Network Potentials for Molecules and Materials Based on Gaussian Moments", https://doi.org/10.18419/DARUS-2136, DaRUS, V1 Code and documentation for the improved Gaussian Moments Neural Network (GM-NN). An updated version can be found on GitLab
adam.py Oct 15, 2021 - Code for: Fast and Sample-Efficient Interatomic Neural Network Potentials for Molecules and Materials Based on Gaussian Moments Python Source Code - 2.8 KB - MD5: 43201d1bd5e849ffc4b7794c6ab8e87c
adam.rst Oct 15, 2021 - Code for: Fast and Sample-Efficient Interatomic Neural Network Potentials for Molecules and Materials Based on Gaussian Moments Unknown - 89 B - MD5: 8250c6756d6506ffa4b66dd979abe8eb
calculators.py Oct 15, 2021 - Code for: Fast and Sample-Efficient Interatomic Neural Network Potentials for Molecules and Materials Based on Gaussian Moments Python Source Code - 19.4 KB - MD5: e29400ad67a376583c46cbf02660672d
calculators.rst Oct 15, 2021 - Code for: Fast and Sample-Efficient Interatomic Neural Network Potentials for Molecules and Materials Based on Gaussian Moments Unknown - 127 B - MD5: 6897ce0afd3ef2996882b9b277e51e72
conf.py Oct 15, 2021 - Code for: Fast and Sample-Efficient Interatomic Neural Network Potentials for Molecules and Materials Based on Gaussian Moments Python Source Code - 2.1 KB - MD5: ab53e5b08ee9fee9026c45a93398dab5
data_pipeline.py Oct 15, 2021 - Code for: Fast and Sample-Efficient Interatomic Neural Network Potentials for Molecules and Materials Based on Gaussian Moments Python Source Code - 22.2 KB - MD5: a2653482083db83b37563f17641c1ce2

relativePermeabilities.m

Nov 24, 2021 - Code for relative permeabilities for two-phase flow between parallel plates with slip conditions

Objective-C Source Code - 4.3 KB -

Calculation of relative permeabilities

tBME project(Universität Stuttgart)

Nov 23, 2021Stochastic Simulation and Safety Research for Hydrosystems (LS3)

tBME project

PN 1-6(Universität Stuttgart)

Nov 22, 2021PN 1

SimTech Project PN 1-6 "Upscaling of two-phase porous media flow based on fluid morphology."

Code for: Fast and Sample-Efficient Interatomic Neural Network Potentials for Molecules and Materials Based on Gaussian Moments

Oct 15, 2021 - PN 6

Zaverkin, Viktor; Holzmüller, David; Steinwart, Ingo; Kästner, Johannes, 2021, "Code for: Fast and Sample-Efficient Interatomic Neural Network Potentials for Molecules and Materials Based on Gaussian Moments", https://doi.org/10.18419/DARUS-2136, DaRUS, V1

Code and documentation for the improved Gaussian Moments Neural Network (GM-NN). An updated version can be found on GitLab

adam.py

Oct 15, 2021 - Code for: Fast and Sample-Efficient Interatomic Neural Network Potentials for Molecules and Materials Based on Gaussian Moments

Python Source Code - 2.8 KB -

adam.rst

Oct 15, 2021 - Code for: Fast and Sample-Efficient Interatomic Neural Network Potentials for Molecules and Materials Based on Gaussian Moments

Unknown - 89 B -

calculators.py

Oct 15, 2021 - Code for: Fast and Sample-Efficient Interatomic Neural Network Potentials for Molecules and Materials Based on Gaussian Moments

Python Source Code - 19.4 KB -

calculators.rst

Oct 15, 2021 - Code for: Fast and Sample-Efficient Interatomic Neural Network Potentials for Molecules and Materials Based on Gaussian Moments