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2,208 results for “coupling”
Lid-Driven Cavity Re=400 flow solution computed using LUMA and Code_Saturne coupled to each other
<p>This dataset is the result of running the Code_Saturne and LUMA codes coupled to each other to simulate a standard Re=400 Lid-Driven Cavity problemon ARCHER2. This is a test case for the coupling of the two codes.</p> <p>The domain is a unit cube. LUMA evolved the portion $x \le 0.6$, and Code\_Saturne evolved the portion $x \ge 0.4$. The boundary $x=0$ was driven with a velocity $u_y = 1$. Boundary data at the coupling boundaries is obtained from the other code using the PLE library.</p> <p>See https://github.com/cfdemons/cs-luma-archer/blob/main/tutorial.md for details to reproduce this dataset.</p> <p> </p>
Consensus of Game Engine Architectures: an Overview of Coupling and Subsystems in Game Engines
<p>The video game industry is one of the most innovative, competitive, and rapidly growing industries. The industry's successes along with the increasing gamers’ expectations result in always larger and more complex games. These games thus must be developed with game engines, which have become correspondingly more sophisticated. Today, game engine developers find game engine development challenging. To support the process of creating and maintaining game engines, we propose applying an approach based on a consensus algorithm to a set of game engine architectures. Our approach generates a model that suggests the most commonly used subsystems in game engine architectures, ranked by their degree of coupling. The model can be used by developers as a starting point when deciding what subsystems to include when building a game engine and points out the most coupled subsystems, which can play an important role towards higher subsystems maintainability and reusability. We evaluate our approach by comparing the results of our approach against a predefined ground truth data. The result of our approach matches the subsystems defined in the ground truth data and it shows that the most coupled subsystems are core, low-level rendering, third-party SDKs and world editor. Additionally, when comparing game engine architectures, we observe that most architectures are composed of nearly the same set of subsystems. </p>
Coupling of hydroPSO and PHREEQC
<p>The folder contains input and output files for coupling hydroPSO and PHREEQC. </p> <p>The input files for running PHREQC and hydroPSO are 'U.phrq', 'ParamFiles.txt', '<em>ParamRanges.txt'</em>, and (iii) ‘<em>PSO_OBS.txt</em>’.</p> <p>The out files in folder called PSO.out are 'png folder', 'Velocities', 'Particles', 'model_out', and others.</p>
Supplementary Data: Full Results: Synergies of sector coupling and transmission extension in a cost-optimised, highly renewable European energy system
<p>Supplementary Data</p> <p><a href="https://arxiv.org/abs/1801.05290"><strong>Synergies of sector coupling and transmission extension in a cost-optimised, highly renewable European energy system</strong></a></p> <p>Authors: T. Brown, D. Schlachtberger, A. Kies, S. Schramm, M. Greiner</p> <p><a href="https://arxiv.org/abs/1801.05290">arXiv:1801.05290</a></p> <p>The files in this record contain the full output data from each of the scenarios considered in the above publication. They also include the post-processed input data, which might be useful if you want to rerun the scenarios with only small changes to the input data.</p> <p>The scripts to build the model, input data and result summaries can be found in a <a href="https://zenodo.org/record/1146665">companion Zenodo repository</a>. (The supplementary data was split because of the size of the full results.)</p> <p>For each scenario, there is a <a href="https://github.com/PyPSA/PyPSA">PyPSA</a> network file in <a href="https://en.wikipedia.org/wiki/Hierarchical_Data_Format">HDF5 format</a> and a CSV of shadow prices.</p> <p>To read in a network file do:</p> <pre><code class="language-python">import pypsa network = pypsa.Network("network_file_name.h5")</code></pre> <p>All data is released under the <a href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution 4.0 International Licence</a> (CC BY 4.0).</p>
CO co-feeding effect in CH3Cl coupling over ZSM-5 zeolite: pressure twists the plot
<p>Dataset supporting the article 'CO co-feeding effect in CH3Cl coupling over ZSM-5 zeolite: pressure twists the plot', by Z. Zhang, M. Vanni, X. Wu, P. Hemberger, A. Bodi, S. Mitchell, and J. Pérez-Ramírez.</p>
Data for Stochastically accelerated perturbative triples correction in coupled cluster calculations
<p>This files contains all the data used to perform the plots in the "Stochastically accelerated perturbative triples correction in coupled cluster calculations" article.</p>
Results of elemental analyses of brain and liver human tissue samples performed by inductively coupled plasma mass spectrometry
<p>Human tissue samples of brain and liver were obtained after min. 24 h postmortem from the Department of Forensic Medicine, University of Lublin. Tissue samples were collected from typical anatomical locations intended for histopathological examination: A—polus frontalis (frontal pole), B—gyrus precentralis (precentral gyrus), C—gyrus postcentralis (postcentral gyrus), D—cortex cingularis (gyrus cinguli cingulate gyrus), E—hippocampus (hippocampus), F—caput nuclei caudati (head of caudate nucleus), G—fasciculus longitudinalis superior cerebri (superior longitudinal fasciculus of brain, SLF), H—fasciculus longitudinalis inferior cerebri (inferior longitudinal fasciculus of brain, ILF), I—thalamus dorsalis (dorsal thalamus), J—nucleus accumbens septi (nucleus accumbens septi, NAc), K—insula (insula), L—hepar (liver). Samples were taken with the consent of the prosecutor and the Local Bioethics Committee (Medical University of Lublin, Poland, KE-0254/152/2021, approval date 24 June 2021). The study was conducted in accordance with the World Medical Association Code of Ethics, Declaration of Helsinki, for experiments involving human subjects. The samples were mineralized to remove the organic matrix using microwave minerali-zation with nitric acid (69% suprapur HNO3, Baker, Radnor, PA, USA) in the microwave mineralization system Multiwave 5000 (Anton Paar, Graz, Austria). After mineralization step, HCl (Merck, Darmstadt, Germany) was added and diluted by ultrapure water. The elemental analysis was performed using the inductively coupled plasma mass spectrometer Agilent 8900 ICP-MS Triple Quad (Agilent, Santa Clara, CA, USA). </p>
Many-body quantum dynamics of spin-orbit coupled Andreev states in a Zeeman field
<p>We provide the raw data used to produce Figs.3-6-7-8-9-10-11 of our paper "Many-body quantum dynamics of spin-orbit coupled Andreev states in a Zeeman field"</p>
Source Code and Simulation Results: Chiral and directional optical emission from a dipole source coupled to a helical plasmonic antenna
<h3>Summary</h3> <p>This publication supplements the article "Chiral and directional optical emission from a dipole source coupled to a helical plasmonic antenna" with tabulated data and Matlab code that allows the reproduction of the results. Within the article, the chiral behavior of single and double plasmonic nano antennas made from silver is numerically investigated with a focus on the coupling of a linear polarized dipole as an excitation source to the helix.</p> <h3>Simulation Setup - FEM Simulations</h3> <p>The script "run_wavlengthscan.m" allows to reproduce all simulations of the article. It can be chosen between the single and double helices, by specifying the keys parameter "keys.doppelhelix" where 0 gives a single and 1 a double helix. The number of turns can be specified by choosing "keys.case". The dipol is located within a 20nm thick hBN substrate layer, on glass (BK7). Results of the Purcell enhancement can be plotted using the scripts "display_results_single_helix.m" and "display_results_doublehelix.m" in the folder "results". The far-field plots can be reproduced using the scripts "display_farfiel_polarization_single_helix.m" and "display_farfiel_polarization_double_helix.m" of the folder "FunctionsAndScripts".</p> <p>The template for the mesh is contained in the folder "generate_grid_file", where the parameters of the helix (for example: radius, tube radius, and pitch height) can be modified.</p> <p>Within the folder "project3D" all required .jcm files are stored. Copy the "grid.jcm" file with the geometry of interest to this folder to perform simulations.</p> <p>All required keys parameters for the JCM template files (.jcmt, jcmpt) are set within the functions "set_numerical_parameter.m" and "set_physical_parameters.m", contained in the folder "FunctionsAndScripts". Therein, the function "set_sources.m" specifies the parameters for the dipole excitation, such as the position, and the strength (equivalent to the polarization).</p> <h3>Semi-Analytical Model</h3> <p>The Jupyter notebook "Semi_Analytical_Plasmonic_Helix.ipynb" contains the commented Python script for the semi-analytical design tool used to obtain far-field radiation patterns of the single helix. This semi-analytical design tool is based on an analytical model developed in [4]. The script can be divided into three parts. First, the single helix is defined, and a linear wavelength scaling law [5] is used to determine the illuminating wavelengths at which Fabry-Pérot resonances occur. Second, the overlap integral between the mode current on the helix and the incident electric field is evaluated for a given direction of incident light. Thirdly, the direction of incidence is varied to obtain the far-field radiation patterns. The script allows for the radiation patterns to be exported as a .csv file. Alternatively, the radiation patterns can be plotted directly using the provided single_plot functions.</p> <h3>Material</h3> <p>The material data has been taken from the <a href="https://refractiveindex.info/" target="_blank" rel="noopener">refractiveindex.info</a> database. For silver the data is taken from tabulated data from Johnson and Christy [1] . The dispersion relation for hBN comes from [2] and tabulated data for glass (BK7) from [3]. The MATLAB script "material_properties_plot.m" plots the material fits above the wavelengths of interest. The required tabulated data is given in the folder "material_data".</p> <p>With 'material_properties_plot.m' the fits to the material data can be reproduced and plotted.</p> <h3>Usage</h3> <p>The .zip folder Helix_FEM contains all data and scripts to reproduce the plots from the 3D FEM simulations.</p> <p>The Jupyter Notebook Semi_Analytical_Plasmonic_Helix reprouces the results from the semi-analytical model.</p> <h3>Requirements</h3> <ul> <li>JCMsuite (at least 5.4.0)</li> <li>MATLAB (tested with version R2023b)</li> <li>Python (tested with Version 3.10.9)</li> <li>Jupyter Notebook (tested with 6.5.2) </li> </ul> <p>To run the simulations with JCMsuite you must replace corresponding placeholders with a path to your installation of JCMsuite. Free trial licenses are available, please refer to the homepage of <a href="https://jcmwave.com/">JCMwave</a>.</p> <h3>References</h3> <p>[1] P. B. Johnson and R.-W. Christy, “Optical constants of the noble metals,” Phys. Rev. B 6, 4370 (1972).</p> <p>[2] S.-Y. Lee, T.-Y. Jeong, S. Jung, and K.-J. Yee, “Refractive index dispersion of hexagonal boron nitride in the visible and near-infrared,” Phys. Status Solidi B 256, 1800417 (2019).</p> <p>[3] “SCHOTT Zemax catalogue 2017-01-20b,” (2017).</p> <div>[4] K. Höflich et al., "Resonant behavior of a single plasmonic helix." Optica 6, 1098(2019).</div> <div> </div> <div>[5]L. Novotny, "Effective wavelength scaling for optical antennas", Phys. Rev. Lett. 98,266802 (2007).</div>
Fig. 9 in Microenergy harvester for remote ocean buoys using piezoelectric sensors coupled with superballs
Fig. 9 — Generated voltage due to the change of buoy acceleration in terms of wave flume shutter frequency
Fig. 6 in Microenergy harvester for remote ocean buoys using piezoelectric sensors coupled with superballs
Fig. 6 — The measured heave (m), pitch (degree), and roll (degree) while varying the wave period from 1.22 to 2.13 s
Fig. 5 in Microenergy harvester for remote ocean buoys using piezoelectric sensors coupled with superballs
Fig. 5 — The variations in the wave height (m) with respect to the variations in wave period during different shutter frequencies (60 Hz, 55 Hz, 50 Hz, 45 Hz, 40 Hz & 35 Hz)
Fig. 4 in Microenergy harvester for remote ocean buoys using piezoelectric sensors coupled with superballs
Fig. 4 — The PEH setup in the wave flume environment: (a) Wave generator hardware setup along with the Lab view software, (b) PEH buoy in the wave flume before the experiment, and (c) Data logger and microcontroller module of PEH system
Fig. 7 in Microenergy harvester for remote ocean buoys using piezoelectric sensors coupled with superballs
Fig. 7 — Measured acceleration (m/s2) in X, Y & Z-axis for the varying wave period from 1.22 to 2.13 s
Fig. 10 in Microenergy harvester for remote ocean buoys using piezoelectric sensors coupled with superballs
Fig. 10 — Generated voltage and power in terms of the wave conditions with the changing shutter frequency from 60 Hz to 35 Hz
Data for "Controlled mechanochemical coupling of anti-junctions in DNA origami arrays"
<p>We provide the raw data for the paper "Controlled mechanochemical coupling of anti-junctions in DNA origami arrays". The files have .tif files-format.</p> <p>Additionally we provide the python scripts used to analyze these data sets.</p>
DALROMS-NWA12 v1.0, a coupled circulation-sea ice-biogeochemistry model for the northwest North Atlantic: input files (2 of 3)
<p>DALROMS-NWA12 v1.0 is a coupled circulation-sea ice-biogeochemistry modelling system based on ROMS, CICE, and MCT. The model domain covers the North Atlantic Ocean from ~81 deg W to ~39 deg W and ~33.5 deg N to 76 deg N. This record includes the files necessary for nudging the simulated temperature and salinity towards Copernicus GLORYS12V1 reanalysis values in a simulation from 1 September to 31 December 2013.</p> <p>The remaining input files for this period are available at <a href="https://doi.org/10.5281/zenodo.12752190" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.12752190</a> and <a href="https://doi.org/10.5281/zenodo.12735153" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.12735153</a>.</p> <p>Model codes, scripts for compiling the model, and sample CPP header files and runtime parameter files (namelists) for phyiscs-only simulations are available at <a href="https://doi.org/10.5281/zenodo.12752091" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.12752091</a>. CPP header and runtime parameter files for the biogeochemistry module are available upon request.</p> <p>Sample output files (from the physics and biogeochemistry modules) are available at <a href="https://doi.org/10.5281/zenodo.12744506" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.12744506</a> and <a href="https://doi.org/10.5281/zenodo.12746262" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.12746262</a>.</p>
DALROMS-NWA12 v1.0, a coupled circulation-sea ice-biogeochemistry model for the northwest North Atlantic: input files (1 of 3)
<p>DALROMS-NWA12 v1.0 is a coupled circulation-sea ice-biogeochemistry modelling system based on ROMS, CICE, and MCT. The model domain covers the North Atlantic Ocean from ~81 deg W to ~39 deg W and ~33.5 deg N to 76 deg N. This record includes most of the input files necessary for a physics-only simulation from 1 September to 31 December 2013. The remaining input files for this period, which should be placed in the directory <code>sponge/</code> within the directory tree contained in this record, are available at <a href="https://doi.org/10.5281/zenodo.12734049" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.12734049</a> and <a href="https://doi.org/10.5281/zenodo.12735153" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.12735153</a>. Input files for the biogeochemistry module are available upon request.</p> <p>Model codes, scripts for compiling the model, and sample CPP header files and runtime parameter files (namelists) for physics-only simulations are available at <a href="https://doi.org/10.5281/zenodo.12752091" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.12752091</a>. CPP header and runtime parameter files for the biogeochemistry module are available upon request.</p> <p>Sample output files (from the physics and biogeochemistry modules) are available at <a href="https://doi.org/10.5281/zenodo.12744506" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.12744506</a> and <a href="https://doi.org/10.5281/zenodo.12746262" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.12746262</a>.</p>
DALROMS-NWA12 v1.0, a coupled circulation-sea ice-biogeochemistry model for the northwest North Atlantic: output files (2 of 2)
<p>DALROMS-NWA12 v1.0 is a coupled circulation-sea ice-biogeochemistry modelling system based on ROMS, CICE, and MCT. The model domain covers the North Atlantic Ocean from ~81 deg W to ~39 deg W and ~33.5 deg N to 76 deg N. This record includes daily-mean output of all (ocean circulation, sea ice, and biogeochemistry) modules for September 2015. Similar files for September 2013 are available at <a href="https://doi.org/10.5281/zenodo.12744506" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.12744506</a>.</p> <p>Model codes, scripts for compiling the model, and sample CPP header files and runtime parameter files (namelists) for physics-only simulations are available at <a href="https://doi.org/10.5281/zenodo.12752091" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.12752091</a>. CPP header and runtime parameter files for the biogeochemistry module are available upon request.</p> <p>Sample input files for physics-only simulations are available at <a href="https://doi.org/10.5281/zenodo.12752190" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.12752190</a>, <a href="https://doi.org/10.5281/zenodo.12734049" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.12734049</a>, and <a href="https://doi.org/10.5281/zenodo.12735153" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.12735153</a>. Input files for the biogeochemistry module are available upon request.</p>
Response of convectively coupled Kelvin waves to surface temperature forcing in aquaplanet simulations: data and code
<p>This is the data and code used for a journal paper entitled "Response of convectively coupled Kelvin waves to surface temperature forcing in aquaplanet simulations", written by Mu-Ting Chien and Daehyun Kim in 2024. This paper is in minor revision in the Journal of Advances in Modeling Earth System. The submitted paper is here: (https://essopenarchive.org/doi/full/10.22541/essoar.171322728.86206700/v1).</p>
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