Subject: Computer and Information Science
Funding Information Agency: Deutsche Forschungsgemeinschaft
License: CC BY 4.0
1 to 6 of 6 Results
Kraus, Hamzeh; Hansen, Niels, 2021, "Supplementary material for 'Confinement Effects for Efficient Macrocyclization Reactions with Supported Cationic Molybdenum Imido Alkylidene N‑Heterocyclic Carbene Complexes'", https://doi.org/10.18419/darus-1752, DaRUS, V1
This dataset contains simulation input files in GROMACS format accompanying the mentioned publication. Structure, topology, and simulation parameter-files (directory Mdp) are provided for four simulations - a 2.5 nm pore with one catalyst molecule, a 2.5 nm pore with two catalyst... |
May 26, 2021 - PN 6-4
Munz, Tanja; Väth, Dirk; Kuznecov, Paul; Vu, Ngoc Thang; Weiskopf, Daniel, 2021, "NMTVis - Trained Models for our Visual Analytics System", https://doi.org/10.18419/darus-1850, DaRUS, V1
Trained models and vocabulary files for the use in our visual analytics system NMTVis. There are models for German to English and vice versa available for an LSTM-based and the Transformer architecture. |
Kraus, Hamzeh, 2021, "Supplementary material for 'PoreMS: A software tool for generating silica pore models with user-defined surface functionalisation and pore dimensions'", https://doi.org/10.18419/darus-1170, DaRUS, V1
This dataset contains Jupiter Notebooks and the necessary structure files needed for generating the pore systems discussed in the related publication. Additionally, high-resolution figures discussed in the paper are added. |
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 ne... |
Wnuk, Markus-Christian; Jaensch, Florian; Tomzik, David Adrian; Chen, Zixiao; Terfurth, Jonathan; Kandasamy, Sivakumar; Shahabi, Jalil; Garrett, Amy; Mahmoudinezhad, Masoumeh H.; Csiszar, Akos; Xu, Weiliang; Röhrle, Oliver; Verl, Alexander, 2020, "Supplemental Material for Case Study about Challenges in Soft Tissue Manipulation", https://doi.org/10.18419/darus-482, DaRUS, V1
Supplemental image and video material for the paper "Challenges in robotic soft tissue manipulation - Problem identification based on an interdisciplinary case study of a teleoperated drawing robot in practice" presented at the 2019 conference M2VIP. The presented results are the... |
