Subject: Physics
Subject: Computer Science, Systems and Electrical Engineering
Publication Year: 2023
Study Type: simulation/modelling
1 to 5 of 5 Results
Sep 29, 2023
Pathak, Swapneel Amit; Holt, Sam; Lang, Martin; Fangohr, Hans, 2023, "Supplementary material: Machine learning based classification of vector field configurations", https://doi.org/10.17617/3.KG33A1, Edmond, V1
The data set contains the supplementary material to support the paper: Machine learning based classification of vector field configurations. The dataset contains simulation files, scripts for data generation and a notebook which shows the steps undertaken to perform the study. Th... |
Sep 29, 2023
Fangohr, Hans; Lang, Martin; Holt, Samuel J. R.; Pathak, Swapneel Amit; Zulfiqar, Kauser; Beg, Marijan, 2023, "Supplementary material: Vision for Unified Micromagnetic Modeling (UMM) with Ubermag", https://doi.org/10.17617/3.D5FT5Y, Edmond, V1
Supplementary material for the "Vision for Unified Micromagnetic Modeling (UMM) with Ubermag" paper containing the source code and software requirements. |
Aug 25, 2023
Dimova, Rumiana, 2023, "Photomanipulation of minimal synthetic cells: area increase, softening and interleaflet coupling of membrane models doped with azobenzene-lipid photoswitches", https://doi.org/10.17617/3.CWOZQO, Edmond, V1
Supporting data (simulation files, movies) for Aleksanyan et al. (2023) Advanced Science |
Jul 3, 2023
Bishnoi, Abhiraj; Kornblueh, Luis; Stein, Olaf, 2023, "Earth system modeling on Modular Supercomputing Architectures: coupled atmosphere-ocean simulations with ICON 2.6.6-rc", https://doi.org/10.17617/3.4NHKPH, Edmond, V1
This dataset provides the model source code for the simulations described in the publication "Earth system modeling on Modular Supercomputing Architectures: coupled atmosphere-ocean simulations with ICON 2.6.6-rc" to be submitted. |
Jan 11, 2023
Ruggeri, Nicolo, 2023, "Real and Synthetic data for Hypergraph Benchmarking (processed for the Hy-MMSBM generative model)", https://doi.org/10.17617/3.HRW0OE, Edmond, V2
This dataset contains the preprocessed real hypergraph data utilized in the experiments for "Generalized inference of mesoscale structures in higher-order networks", Ruggeri N., Contisciani M., Battiston F., De Bacco C. and synthetic hypergraph data generated for experiments in t... |