DaRUS

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Deposit Date: 2020 Subject: Computer and Information Science Subject: Earth and Environmental Sciences

1 to 4 of 4 Results

micro-XRCT dataset of Enzymatically Induced Calcite Precipitation (EICP) in a microfluidic cell Mar 11, 2021 - Publication: Experimental Methods and Imaging for Enzymatically Induced Calcite Precipitation in a microfluidic cell Vahid Dastjerdi, Samaneh; Steeb, Holger; Ruf, Matthias; Lee, Dongwon; Weinhardt, Felix; Karadimitriou, Nikolaos; Class, Holger, 2021, "micro-XRCT dataset of Enzymatically Induced Calcite Precipitation (EICP) in a microfluidic cell", https://doi.org/10.18419/darus-866, DaRUS, V1 micro-XRCT dataset (projection and reconstructed images) based on a region of interest scan (diameter 12.49 mm, height 9.09 mm) of a microfluidic cell including calcium carbonate aggregates along with the processed dataset (cropped, transformed and binarized).
High-resolution 3D Stokes reference solution for a free-flow channel over a structured porous domain Jan 13, 2021 - Microscale analysis Weishaupt, Kilian, 2021, "High-resolution 3D Stokes reference solution for a free-flow channel over a structured porous domain", https://doi.org/10.18419/darus-782, DaRUS, V1 3D numerical reference for the setup described in https://doi.org/10.1063/1.5092169.
Trained ANN Parameters for Physics-inspired Artificial Neural Network for Dynamic System Jul 21, 2020 - PINN Dynamic System Praditia, Timothy, 2020, "Trained ANN Parameters for Physics-inspired Artificial Neural Network for Dynamic System", https://doi.org/10.18419/darus-634, DaRUS, V1 This dataset contains four .xlsx files containing trained values of the ANN weights and biases, along with the hyperparameter values at the end of the training (with noisy dataset). These four files correspond to four different regularization methods.
Input-Output Dataset for Physics-inspired Artificial Neural Network for Dynamic System Jul 21, 2020 - PINN Dynamic System Praditia, Timothy, 2020, "Input-Output Dataset for Physics-inspired Artificial Neural Network for Dynamic System", https://doi.org/10.18419/darus-633, DaRUS, V1 This dataset contains two .mat files, one pre-processed (direct simulation results) and the other one is with added noise. The simulated problem is a thermochemical energy storage problem using CaO/Ca(OH)2 as the material choice. This dataset is used as input-output data pairs ne...

micro-XRCT dataset of Enzymatically Induced Calcite Precipitation (EICP) in a microfluidic cell

Mar 11, 2021 - Publication: Experimental Methods and Imaging for Enzymatically Induced Calcite Precipitation in a microfluidic cell

Vahid Dastjerdi, Samaneh; Steeb, Holger; Ruf, Matthias; Lee, Dongwon; Weinhardt, Felix; Karadimitriou, Nikolaos; Class, Holger, 2021, "micro-XRCT dataset of Enzymatically Induced Calcite Precipitation (EICP) in a microfluidic cell", https://doi.org/10.18419/darus-866, DaRUS, V1

micro-XRCT dataset (projection and reconstructed images) based on a region of interest scan (diameter 12.49 mm, height 9.09 mm) of a microfluidic cell including calcium carbonate aggregates along with the processed dataset (cropped, transformed and binarized).

High-resolution 3D Stokes reference solution for a free-flow channel over a structured porous domain

Jan 13, 2021 - Microscale analysis

Weishaupt, Kilian, 2021, "High-resolution 3D Stokes reference solution for a free-flow channel over a structured porous domain", https://doi.org/10.18419/darus-782, DaRUS, V1

3D numerical reference for the setup described in https://doi.org/10.1063/1.5092169.

Trained ANN Parameters for Physics-inspired Artificial Neural Network for Dynamic System

Jul 21, 2020 - PINN Dynamic System

Praditia, Timothy, 2020, "Trained ANN Parameters for Physics-inspired Artificial Neural Network for Dynamic System", https://doi.org/10.18419/darus-634, DaRUS, V1

This dataset contains four .xlsx files containing trained values of the ANN weights and biases, along with the hyperparameter values at the end of the training (with noisy dataset). These four files correspond to four different regularization methods.

Input-Output Dataset for Physics-inspired Artificial Neural Network for Dynamic System

Jul 21, 2020 - PINN Dynamic System

Praditia, Timothy, 2020, "Input-Output Dataset for Physics-inspired Artificial Neural Network for Dynamic System", https://doi.org/10.18419/darus-633, DaRUS, V1

This dataset contains two .mat files, one pre-processed (direct simulation results) and the other one is with added noise. The simulated problem is a thermochemical energy storage problem using CaO/Ca(OH)2 as the material choice. This dataset is used as input-output data pairs ne...

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