31 to 40 of 107 Results
Aug 11, 2020SFB 1313 "Interface-Driven Multi-Field Processes in Porous Media"
Porosity and permeability are two major hydraulic properties that govern flow through porous media. Different kinds of processes can lead to alterations of the pore space which eventually change the hydraulic properties. This project focuses primarily on fluid-solid interfaces that are prone to change as a result of microbial activity. The alterati... |
Jul 31, 2020Timber Constructions
This Dataverse contains datasets and source files meant to be referenced in publications. |
Jul 31, 2020Materials Testing Institute
Dataverse for the management of research data within the division of timber constructions of the MPA |
Jul 31, 2020
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Jul 31, 2020 - Emmert2020a
Emmert, Simon; Class, Holger; Davis, Katherine; Gerlach, Robin, 2020, "Replication data for "Importance of Specific Substrate Utilization by Microbes in Microbially Enhanced Coal-Bed Methane Production: A Modelling Study"", https://doi.org/10.18419/DARUS-636, DaRUS, V1, UNF:6:etoZeSymT82caAlH+cVtVA== [fileUNF]
This contains the generated DuMuX model output (VTK files), extracted output (Python script) and plots (png) for the publication "Importance of Specific Substrate Utilization by Microbes in Microbially Enhanced Coal-Bed Methane Production: A Modelling Study" in International Journal of Coal Geology (Doi: https://doi.org/10.1016/j.coal.2020.103567) |
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. |
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 necessary for training, validating, and testing the ANN. The input data... |