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111 to 120 of 20,957 Results

fenicsx-adapter-1.0.0.tar.gz Apr 9, 2026 - Replication Data for: Version 1.0.0 - FEniCSx-preCICE: Coupling FEniCSx to other simulation software Gzip Archive - 28.1 KB - MD5: e68384b0ff72653c5c9d28544504577c Source code of FEniCSx-preCICE: a preCICE adapter for FEniCSx
test-cases.tar.gz Apr 9, 2026 - Replication Data for: Version 1.0.0 - FEniCSx-preCICE: Coupling FEniCSx to other simulation software Gzip Archive - 3.4 MB - MD5: 7bd5e4f64112d8de203a97ce2939bb9d Test cases with full setups.
README.md Apr 9, 2026 - Replication Data for: Version 1.0.0 - FEniCSx-preCICE: Coupling FEniCSx to other simulation software Markdown Text - 784 B - MD5: a7b927cd70146ec49ae5b09bb329f3dd Basic information about the dataset.
Replication Data for: Capturing reduced-order quantum many-body dynamics out of equilibrium via neural ordinary differential equations Apr 7, 2026 - Coarse-grained non-equilibrium dynamics with generative machine learning Egenlauf, Patrick; Březinová, Iva; Andergassen, Sabine; Klopotek, Miriam, 2026, "Replication Data for: Capturing reduced-order quantum many-body dynamics out of equilibrium via neural ordinary differential equations", https://doi.org/10.18419/DARUS-5613, DaRUS, V3 This dataset contains all relevant data to reproduce the results of the paper titled "Capturing reduced-order quantum many-body dynamics out of equilibrium via neural ordinary differential equations". It contains the exact time series data of the two-particle reduced density matrix (2RDM) for each parameter configuration of the parameter scan, with...
supplementary-material-benchmark-NODE-TD2RDM.pdf Apr 7, 2026 - Replication Data for: Capturing reduced-order quantum many-body dynamics out of equilibrium via neural ordinary differential equations Adobe PDF - 154.3 KB - MD5: dc08273407457c0ad46e22702469d37c Benchmark comparison between the predictions of the neural ODE and the TD2RDM.
hyper-parameter-optimized-line-scan-test-metrics.tar.xz Mar 23, 2026 - Replication Data for: Capturing reduced-order quantum many-body dynamics out of equilibrium via neural ordinary differential equations XZ Archive - 906.4 MB - MD5: 8f45f1013c492d36b6335c7b9fa1b3e2 Data
Supplementary Data to: "Activation mechanism of the full-length histidine kinase LvrB from pathogenic Leptospira" Mar 20, 2026 - PN 3-11 Pluhackova, Kristyna; Hiller, Sebastian; Agustoni, Elia, 2026, "Supplementary Data to: "Activation mechanism of the full-length histidine kinase LvrB from pathogenic Leptospira"", https://doi.org/10.18419/DARUS-5664, DaRUS, V2 MD data (author K. Pluhackova): Initial coordinate and simulation input files and a coordinate files of the final outputs as well as of the simulation trajectories (protein only) for all-atom MD simulations of LvrB performed using CHARMM36m/TIP4p in GROMACS2023. (pdb, xtc) Simulation data on phosphorylated aspartic acid (residue APP) with parameter...
integrate_dotblot.ipynb Mar 20, 2026 - Supplementary Data to: "Activation mechanism of the full-length histidine kinase LvrB from pathogenic Leptospira" Jupyter Notebook - 2.1 MB - MD5: 5885976be7feaf3cc90987e5bc68e6c1 A script used to quantify dot intensities from an autophosphorylation assay.
YD_distance_pdb.tar.gz Mar 20, 2026 - Supplementary Data to: "Activation mechanism of the full-length histidine kinase LvrB from pathogenic Leptospira" Gzip Archive - 71.2 MB - MD5: 365384fb8ee779150cbd038def5a0015 Script used to statistically analyze domain structures of two-component systems, including pdb files.
Replication Data for: Optimal information injection and transfer mechanisms for active matter reservoir computing (Gaimann and Klopotek, 2025) Mar 11, 2026 - PN 6-15 Gaimann, Mario U.; Klopotek, Miriam, 2025, "Replication Data for: Optimal information injection and transfer mechanisms for active matter reservoir computing (Gaimann and Klopotek, 2025)", https://doi.org/10.18419/DARUS-4805, DaRUS, V2, UNF:6:C1gH8zVD6YKFF/O3ZhSaSA== [fileUNF] This repository contains raw and post-processed replication data for the publication "Optimal information injection and transfer mechanisms for active matter reservoir computing" (Gaimann and Klopotek, 2025). The datasets contain physical observables recorded during non-equilibrium simulations of active matter systems (swarms) driven by an external...

fenicsx-adapter-1.0.0.tar.gz

Apr 9, 2026 - Replication Data for: Version 1.0.0 - FEniCSx-preCICE: Coupling FEniCSx to other simulation software

Gzip Archive - 28.1 KB -

Source code of FEniCSx-preCICE: a preCICE adapter for FEniCSx

test-cases.tar.gz

Apr 9, 2026 - Replication Data for: Version 1.0.0 - FEniCSx-preCICE: Coupling FEniCSx to other simulation software

Gzip Archive - 3.4 MB -

Test cases with full setups.

README.md

Apr 9, 2026 - Replication Data for: Version 1.0.0 - FEniCSx-preCICE: Coupling FEniCSx to other simulation software

Markdown Text - 784 B -

Basic information about the dataset.

Replication Data for: Capturing reduced-order quantum many-body dynamics out of equilibrium via neural ordinary differential equations

Apr 7, 2026 - Coarse-grained non-equilibrium dynamics with generative machine learning

Egenlauf, Patrick; Březinová, Iva; Andergassen, Sabine; Klopotek, Miriam, 2026, "Replication Data for: Capturing reduced-order quantum many-body dynamics out of equilibrium via neural ordinary differential equations", https://doi.org/10.18419/DARUS-5613, DaRUS, V3

This dataset contains all relevant data to reproduce the results of the paper titled "Capturing reduced-order quantum many-body dynamics out of equilibrium via neural ordinary differential equations". It contains the exact time series data of the two-particle reduced density matrix (2RDM) for each parameter configuration of the parameter scan, with...

supplementary-material-benchmark-NODE-TD2RDM.pdf

Apr 7, 2026 - Replication Data for: Capturing reduced-order quantum many-body dynamics out of equilibrium via neural ordinary differential equations

Adobe PDF - 154.3 KB -

Benchmark comparison between the predictions of the neural ODE and the TD2RDM.

hyper-parameter-optimized-line-scan-test-metrics.tar.xz

Mar 23, 2026 - Replication Data for: Capturing reduced-order quantum many-body dynamics out of equilibrium via neural ordinary differential equations

XZ Archive - 906.4 MB -

Data

Supplementary Data to: "Activation mechanism of the full-length histidine kinase LvrB from pathogenic Leptospira"

Mar 20, 2026 - PN 3-11

Pluhackova, Kristyna; Hiller, Sebastian; Agustoni, Elia, 2026, "Supplementary Data to: "Activation mechanism of the full-length histidine kinase LvrB from pathogenic Leptospira"", https://doi.org/10.18419/DARUS-5664, DaRUS, V2

MD data (author K. Pluhackova): Initial coordinate and simulation input files and a coordinate files of the final outputs as well as of the simulation trajectories (protein only) for all-atom MD simulations of LvrB performed using CHARMM36m/TIP4p in GROMACS2023. (pdb, xtc) Simulation data on phosphorylated aspartic acid (residue APP) with parameter...

integrate_dotblot.ipynb

Mar 20, 2026 - Supplementary Data to: "Activation mechanism of the full-length histidine kinase LvrB from pathogenic Leptospira"

Jupyter Notebook - 2.1 MB -

A script used to quantify dot intensities from an autophosphorylation assay.

YD_distance_pdb.tar.gz

Mar 20, 2026 - Supplementary Data to: "Activation mechanism of the full-length histidine kinase LvrB from pathogenic Leptospira"

Gzip Archive - 71.2 MB -

Script used to statistically analyze domain structures of two-component systems, including pdb files.

Replication Data for: Optimal information injection and transfer mechanisms for active matter reservoir computing (Gaimann and Klopotek, 2025)

Mar 11, 2026 - PN 6-15

Gaimann, Mario U.; Klopotek, Miriam, 2025, "Replication Data for: Optimal information injection and transfer mechanisms for active matter reservoir computing (Gaimann and Klopotek, 2025)", https://doi.org/10.18419/DARUS-4805, DaRUS, V2, UNF:6:C1gH8zVD6YKFF/O3ZhSaSA== [fileUNF]

This repository contains raw and post-processed replication data for the publication "Optimal information injection and transfer mechanisms for active matter reservoir computing" (Gaimann and Klopotek, 2025). The datasets contain physical observables recorded during non-equilibrium simulations of active matter systems (swarms) driven by an external...

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