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Publication Year: 2022

5,341 to 5,350 of 5,508 Results

tmp_linear_MD_cuboid.tab Jan 25, 2022 - Electronic Supporting Information and Data for: The pH-dependent Swelling of Weak Polyelectrolyte Hydrogels Modeled at Different Levels of Resolution Tabular Data - 24.8 KB - 20 Variables, 89 Observations - UNF:6:TqNdoTYK82lhOhxcATp7eA==
tmp_linear_PB_generic.tab Jan 25, 2022 - Electronic Supporting Information and Data for: The pH-dependent Swelling of Weak Polyelectrolyte Hydrogels Modeled at Different Levels of Resolution Tabular Data - 32.6 KB - 20 Variables, 150 Observations - UNF:6:HHQ8P/NKfR4RJZy0Yb9fQA==
total_data_periodic_weak_gel_low_salt.tab Jan 25, 2022 - Electronic Supporting Information and Data for: The pH-dependent Swelling of Weak Polyelectrolyte Hydrogels Modeled at Different Levels of Resolution Tabular Data - 102.9 KB - 32 Variables, 240 Observations - UNF:6:vulLddFxKuZx5MP/f3/uOQ==
total_data_single_chain_cuboid_low_salt.tab Jan 25, 2022 - Electronic Supporting Information and Data for: The pH-dependent Swelling of Weak Polyelectrolyte Hydrogels Modeled at Different Levels of Resolution Tabular Data - 495.9 KB - 44 Variables, 627 Observations - UNF:6:0SJFoESklDHpNQVN45MgpA==
total_data_single_chain_cuboid.tab Jan 25, 2022 - Electronic Supporting Information and Data for: The pH-dependent Swelling of Weak Polyelectrolyte Hydrogels Modeled at Different Levels of Resolution Tabular Data - 1.3 MB - 44 Variables, 1643 Observations - UNF:6:QbiXDl2lE/+qYzoqudwqvA==
weak-gel.py Jan 25, 2022 - Electronic Supporting Information and Data for: The pH-dependent Swelling of Weak Polyelectrolyte Hydrogels Modeled at Different Levels of Resolution Python Source Code - 29.0 KB - MD5: 9a19cf68dc30173ece57c5f04afd85d9
weak-gel_total_data.tab Jan 25, 2022 - Electronic Supporting Information and Data for: The pH-dependent Swelling of Weak Polyelectrolyte Hydrogels Modeled at Different Levels of Resolution Tabular Data - 1.0 MB - 32 Variables, 2576 Observations - UNF:6:F2GH0cuqnNr0JMqNnlWEQg==
Implementation of a Non-linear Reissner-Mindlin Shell Formulation in Matlab Jan 25, 2022 - Institute for Structural Mechanics Müller, Alexander, 2022, "Implementation of a Non-linear Reissner-Mindlin Shell Formulation in Matlab", https://doi.org/10.18419/DARUS-1255, DaRUS, V1 This dataset contains a finite element implementation of a consistent geometrically non-linear Reissner-Mindlin shell using NURBS as basis functions. The implementation is done using Matlab. The non-linear Reissner-Mindlin model incorporates a unit director field. The interpolation of this field is tackled using interpolation on manifolds, i.e. the...
ReissnerMindlinMatlabShell.zip Jan 25, 2022 - Implementation of a Non-linear Reissner-Mindlin Shell Formulation in Matlab ZIP Archive - 14.6 MB - MD5: 85586710d703d45fa7d48abd6e8734df
PyPlant: A Python Framework for Cached Function Pipelines Jan 24, 2022 - PN 6-6 Tkachev, Gleb, 2022, "PyPlant: A Python Framework for Cached Function Pipelines", https://doi.org/10.18419/DARUS-2249, DaRUS, V1 PyPlant is a simple coroutine-based framework for writing data processing pipelines. PyPlant's goal is to simplify caching of intermediate results in the pipeline and avoid re-running expensive early stages of the pipeline, when only the later stages have changed.

tmp_linear_MD_cuboid.tab

Jan 25, 2022 - Electronic Supporting Information and Data for: The pH-dependent Swelling of Weak Polyelectrolyte Hydrogels Modeled at Different Levels of Resolution

Tabular Data - 24.8 KB - 20 Variables, 89 Observations -

tmp_linear_PB_generic.tab

Jan 25, 2022 - Electronic Supporting Information and Data for: The pH-dependent Swelling of Weak Polyelectrolyte Hydrogels Modeled at Different Levels of Resolution

Tabular Data - 32.6 KB - 20 Variables, 150 Observations -

total_data_periodic_weak_gel_low_salt.tab

Jan 25, 2022 - Electronic Supporting Information and Data for: The pH-dependent Swelling of Weak Polyelectrolyte Hydrogels Modeled at Different Levels of Resolution

Tabular Data - 102.9 KB - 32 Variables, 240 Observations -

total_data_single_chain_cuboid_low_salt.tab

Jan 25, 2022 - Electronic Supporting Information and Data for: The pH-dependent Swelling of Weak Polyelectrolyte Hydrogels Modeled at Different Levels of Resolution

Tabular Data - 495.9 KB - 44 Variables, 627 Observations -

total_data_single_chain_cuboid.tab

Jan 25, 2022 - Electronic Supporting Information and Data for: The pH-dependent Swelling of Weak Polyelectrolyte Hydrogels Modeled at Different Levels of Resolution

Tabular Data - 1.3 MB - 44 Variables, 1643 Observations -

weak-gel.py

Jan 25, 2022 - Electronic Supporting Information and Data for: The pH-dependent Swelling of Weak Polyelectrolyte Hydrogels Modeled at Different Levels of Resolution

Python Source Code - 29.0 KB -

weak-gel_total_data.tab

Jan 25, 2022 - Electronic Supporting Information and Data for: The pH-dependent Swelling of Weak Polyelectrolyte Hydrogels Modeled at Different Levels of Resolution

Tabular Data - 1.0 MB - 32 Variables, 2576 Observations -

Implementation of a Non-linear Reissner-Mindlin Shell Formulation in Matlab

Jan 25, 2022 - Institute for Structural Mechanics

Müller, Alexander, 2022, "Implementation of a Non-linear Reissner-Mindlin Shell Formulation in Matlab", https://doi.org/10.18419/DARUS-1255, DaRUS, V1

This dataset contains a finite element implementation of a consistent geometrically non-linear Reissner-Mindlin shell using NURBS as basis functions. The implementation is done using Matlab. The non-linear Reissner-Mindlin model incorporates a unit director field. The interpolation of this field is tackled using interpolation on manifolds, i.e. the...

ReissnerMindlinMatlabShell.zip

Jan 25, 2022 - Implementation of a Non-linear Reissner-Mindlin Shell Formulation in Matlab

ZIP Archive - 14.6 MB -

PyPlant: A Python Framework for Cached Function Pipelines

Jan 24, 2022 - PN 6-6

Tkachev, Gleb, 2022, "PyPlant: A Python Framework for Cached Function Pipelines", https://doi.org/10.18419/DARUS-2249, DaRUS, V1

PyPlant is a simple coroutine-based framework for writing data processing pipelines. PyPlant's goal is to simplify caching of intermediate results in the pipeline and avoid re-running expensive early stages of the pipeline, when only the later stages have changed.

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