SimTech EXC 2075 Project Network 3 "Data-integrated model reduction for particles and continua"
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Fixed Field Text Data - 41.6 KB - MD5: a6fb1a0d833a7ccbea0bc421b2627ac2
Velocity profile from NEMD simulations.
Fixed Field Text Data - 41.6 KB - MD5: ff9d5f630734bbf0c57944fae947c278
Velocity profile from NEMD simulations.
Fixed Field Text Data - 41.6 KB - MD5: 5d5fdb97c29a0e34602dea52be27a787
Velocity profile from NEMD simulations.
Fixed Field Text Data - 41.6 KB - MD5: 3dd4b917d168b46a53232838809aa985
Velocity profile from NEMD simulations.
Fixed Field Text Data - 41.8 KB - MD5: cca9f394cf7ae67e0da5bf833f8d6195
Velocity profile from NEMD simulations.
Fixed Field Text Data - 41.6 KB - MD5: ad513dfe239c54cff62356c5981c0b9a
Velocity profile from NEMD simulations.
Fixed Field Text Data - 41.6 KB - MD5: ff9d5f630734bbf0c57944fae947c278
Velocity profile from NEMD simulations.
Fixed Field Text Data - 41.6 KB - MD5: 2ad900bf9c82713209d0ebeba38c28c4
Velocity profile from NEMD simulations.
PN 3A-7(Universität Stuttgart)
Mar 8, 2024
Advanced Learning Strategies for Machine Learned Interatomic Potentials
Feb 16, 2024 - PN3-5
Sriram, Siddharth, 2024, "Data-driven analysis of structural instabilities in electroactive polymer bilayers based on a variational saddle-point principle: Datasets and ML codes", https://doi.org/10.18419/DARUS-3881, DaRUS, V1
The datasets and codes provided here are associated with our article entitled "Data-driven analysis of structural instabilities in electroactive polymer bilayers based on a variational saddle-point principle". The main idea of the work is to develop surrogate models using the concepts of machine learning (ML) to predict the onset of wrinkling insta...
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