Subject: Computer and Information Science
Deposit Date: 2021
Funding Information Agency: Deutsche Forschungsgemeinschaft
1 to 6 of 6 Results
Sep 14, 2021 - Molecular Simulation
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... |
Sep 10, 2021 - PN 6-4
Munz, Tanja; Garcia, Rafael; Weiskopf, Daniel, 2021, "Visual Analytics System for Hidden States in Recurrent Neural Networks", https://doi.org/10.18419/darus-2052, DaRUS, V1
Source code of our visual analytics system for the interpretation of hidden states in recurrent neural networks. This project contains source code for preprocessing data and the visual analytics system. Additionally, we added precomputed data for immediate use in the visual analy... |
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. |
May 26, 2021 - PN 6-4
Munz, Tanja; Väth, Dirk; Kuznecov, Paul; Vu, Ngoc Thang; Weiskopf, Daniel, 2021, "NMTVis - Neural Machine Translation Visualization System", https://doi.org/10.18419/darus-1849, DaRUS, V1
NMTVis is a web-based visual analytics system to analyze, understand, and correct translations generated with neural machine translation. First, a document can be translated using a neural machine translation model (we support an LSTM-based and the Transformer architecture). Afte... |
Mar 11, 2021 - C02: Upscaling of pore-scale processes involving microstructural evolution
Freiherr von Wolff, Lars, 2021, "The DUNE-Phasefield Module (release 1.0)", https://doi.org/10.18419/darus-1634, DaRUS, V1
The DUNE-Phasefield module contains local operators and grid function spaces for solving Cahn-Hilliard and Cahn-Hilliard-Navier-Stokes systems in a FEM framework. The module additionally provides option-classes for physical properties, multiple Cahn-Hilliard potentials, a timeste... |
Feb 5, 2021 - B03: Heterogeneous multi-scale methods for two-phase flow in dynamically fracturing porous media
Burbulla, Samuel, 2021, "The DUNE MMesh Module (Release 1.2)", https://doi.org/10.18419/darus-1257, DaRUS, V1
The dune-mmesh module is an implementation of the DUNE grid interface that wraps CGAL triangulations in 2D and 3D. It is also capable to export a prescribed set of cell facets as a dim-1 interface grid and remesh the grid when moving this interface. |