Stuttgart Center for Simulation Science (SC SimTech)

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Subject: Computer and Information Science

41 to 50 of 102 Results

Pre-trained and fine-tuned ANI models for: Transfer learning for chemically accurate interatomic neural network potentials Feb 20, 2023 - PN 6 Zaverkin, Viktor; Holzmüller, David; Bonfirraro, Luca; Kästner, Johannes, 2023, "Pre-trained and fine-tuned ANI models for: Transfer learning for chemically accurate interatomic neural network potentials", https://doi.org/10.18419/darus-3299, DaRUS, V1 Pre-trained and fine-tuned ANI models using the Gaussian Moments Neural Network (GM-NN) approach. Code for GM-NN implemented within the Tensorflow framework, including the respective documentation and tutorials, can be found on GitLab. The data represents TensorFlow v2 checkpoint...
PN 7-6(Universität Stuttgart) Nov 19, 2020PN 7
PN 7(Universität Stuttgart) Sep 6, 2019EXC 2075 Project Networks SimTech EXC 2075 Project Network 7 "Adaptive simulation and interaction"
PN 6A-4(Universität Stuttgart) Mar 8, 2024PN 6 Unified diagnostic evaluation of physics-based, data-driven and hybrid hydrological models based on information theory
PN 6-6(Universität Stuttgart) Sep 29, 2021PN 6 SimTech Project PN 6-6 "Machine Learning for Data-driven Visualization"
PN 6-4(Universität Stuttgart) Oct 27, 2020PN 6 SimTech Project PN 6-4 "Visual Analytics for Deep Learning"
PN 6-3(Institute for Stochastics and Applications, Universität Stuttgart) Mar 16, 2021PN 6 SimTech Project PN6-3 "Understanding Physical Constraints in Machine Learning for Simulation"
PN 6(Universität Stuttgart) Sep 6, 2019EXC 2075 Project Networks SimTech EXC 2075 Project Network 6 "Machine learning for simulation"
PN 5-6(Universität Stuttgart) Feb 20, 2020PN 5 SimTech Project PN 5-6 "Physics-informed ANNs for dynamic, distributed and stochastic systems"
PN 5-1(Universität Stuttgart) Jun 16, 2023PN 5 SimTech Project PN 5-1 "Optimal multidimensional accuracy-resource trade-off"

Pre-trained and fine-tuned ANI models for: Transfer learning for chemically accurate interatomic neural network potentials

Feb 20, 2023 - PN 6

Zaverkin, Viktor; Holzmüller, David; Bonfirraro, Luca; Kästner, Johannes, 2023, "Pre-trained and fine-tuned ANI models for: Transfer learning for chemically accurate interatomic neural network potentials", https://doi.org/10.18419/darus-3299, DaRUS, V1

Pre-trained and fine-tuned ANI models using the Gaussian Moments Neural Network (GM-NN) approach. Code for GM-NN implemented within the Tensorflow framework, including the respective documentation and tutorials, can be found on GitLab. The data represents TensorFlow v2 checkpoint...

PN 7-6(Universität Stuttgart)

Nov 19, 2020PN 7

PN 7(Universität Stuttgart)

Sep 6, 2019EXC 2075 Project Networks

SimTech EXC 2075 Project Network 7 "Adaptive simulation and interaction"

PN 6A-4(Universität Stuttgart)

Mar 8, 2024PN 6

Unified diagnostic evaluation of physics-based, data-driven and hybrid hydrological models based on information theory

PN 6-6(Universität Stuttgart)

Sep 29, 2021PN 6

SimTech Project PN 6-6 "Machine Learning for Data-driven Visualization"

PN 6-4(Universität Stuttgart)

Oct 27, 2020PN 6

SimTech Project PN 6-4 "Visual Analytics for Deep Learning"

PN 6-3(Institute for Stochastics and Applications, Universität Stuttgart)

Mar 16, 2021PN 6

SimTech Project PN6-3 "Understanding Physical Constraints in Machine Learning for Simulation"

PN 6(Universität Stuttgart)

Sep 6, 2019EXC 2075 Project Networks

SimTech EXC 2075 Project Network 6 "Machine learning for simulation"

PN 5-6(Universität Stuttgart)

Feb 20, 2020PN 5

SimTech Project PN 5-6 "Physics-informed ANNs for dynamic, distributed and stochastic systems"

PN 5-1(Universität Stuttgart)

Jun 16, 2023PN 5

SimTech Project PN 5-1 "Optimal multidimensional accuracy-resource trade-off"

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