Stuttgart Center for Simulation Science (SC SimTech)

EXC 2075 Project Networks

SIGDIUS

Projects without PN Affiliation

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25,511 to 25,520 of 25,729 Results

setup_salt.lmp Aug 20, 2021 - Simulation input scripts for "Electronic screening using a virtual Thomas-Fermi fluid for predicting wetting and phase transitions of ionic liquids at metal surfaces" Unknown - 9.7 KB - MD5: 24258c71c15da29cda86fdb2837b4497
setup_vacuum.lmp Aug 20, 2021 - Simulation input scripts for "Electronic screening using a virtual Thomas-Fermi fluid for predicting wetting and phase transitions of ionic liquids at metal surfaces" Unknown - 4.4 KB - MD5: 0f44a7620f9cc3425e22bd0f636adb25
Paper Nature Materials 2021(Universität Stuttgart) Aug 18, 2021Imperfect metals, Thomas-Fermi screening Supplementary information for the paper to be published in Nature Materials.
Imperfect metals, Thomas-Fermi screening(Universität Stuttgart) Aug 18, 2021PN 1-8 Simulation input and data as well as analytical calculations and supplementary files regarding the behavior of charged/ionic matter at imperfect metal surfaces.
PN 1-8(Universität Stuttgart) Aug 18, 2021PN 1 SimTech Project PN 1-8 "Bottom-up modeling of hierarchical porous electrode materials via molecular simulation"
EnzymeML Metadata Block Configuration for Dataverse Aug 5, 2021 - RDM Tools Range, Jan Peter; Iglezakis, Dorothea, 2021, "EnzymeML Metadata Block Configuration for Dataverse", https://doi.org/10.18419/DARUS-2105, DaRUS, V1 This dataset contains a TSV-File for the configuration of a metadata block for data repositories basing on Dataverse. The block helps to describe datasets with the concepts of the metadata scheme EnzymeML, which is a data model provided to facilitate the documentation and exchange of enzymological and biocatalytic research data. To add a metadata b...
EnzymeML.tsv Aug 5, 2021 - EnzymeML Metadata Block Configuration for Dataverse Tab-Separated Values - 14.0 KB - MD5: 63158d84b414ad86331af9d0c6fb5006
Sampling Strategies of the Regime-and-memory model (RMM) Jun 24, 2021 - CAMPOS Project P8: Conceptual Model Uncertainty Gonzalez-Nicolas Alvarez, Ana, 2021, "Sampling Strategies of the Regime-and-memory model (RMM)", https://doi.org/10.18419/DARUS-2035, DaRUS, V1, UNF:6:JeAvfovoq369qtbASSmQjg== [fileUNF] This excel file includes the observation time, Q, concentration, and lag-time used by the sampling strategies. Types of sampling strategies: Time frequency sampling strategies. River discharge frequency sampling strategies. Low Q sampling strategies. High Q sampling strategies. Low and High Q sampling strategies.
flow_discharge_frequency_sampling_designs.csv Jun 24, 2021 - Sampling Strategies of the Regime-and-memory model (RMM) Tabular Data - 2.6 KB - 6 Variables, 75 Observations - UNF:6:hD62pRgyjaW0dI4vof74IA== This file includes the river discharge frequency sampling strategies used in the manuscript Gonzalez-Nicolas et al. (2021), "Characterization of export regimes in concentration–discharge plots via an advanced time-series model and event-Based sampling strategies", Water.
high_q_sampling_designs.csv Jun 24, 2021 - Sampling Strategies of the Regime-and-memory model (RMM) Tabular Data - 1.8 KB - 5 Variables, 75 Observations - UNF:6:XkKTlOfntjxfQhiH0L7XFA== This file includes the high Q sampling strategies used in the manuscript Gonzalez-Nicolas et al. (2021), "Characterization of export regimes in concentration–discharge plots via an advanced time-series model and event-Based sampling strategies", Water.

setup_salt.lmp

Aug 20, 2021 - Simulation input scripts for "Electronic screening using a virtual Thomas-Fermi fluid for predicting wetting and phase transitions of ionic liquids at metal surfaces"

Unknown - 9.7 KB -

setup_vacuum.lmp

Aug 20, 2021 - Simulation input scripts for "Electronic screening using a virtual Thomas-Fermi fluid for predicting wetting and phase transitions of ionic liquids at metal surfaces"

Unknown - 4.4 KB -

Paper Nature Materials 2021(Universität Stuttgart)

Aug 18, 2021Imperfect metals, Thomas-Fermi screening

Supplementary information for the paper to be published in Nature Materials.

Imperfect metals, Thomas-Fermi screening(Universität Stuttgart)

Aug 18, 2021PN 1-8

Simulation input and data as well as analytical calculations and supplementary files regarding the behavior of charged/ionic matter at imperfect metal surfaces.

PN 1-8(Universität Stuttgart)

Aug 18, 2021PN 1

SimTech Project PN 1-8 "Bottom-up modeling of hierarchical porous electrode materials via molecular simulation"

EnzymeML Metadata Block Configuration for Dataverse

Aug 5, 2021 - RDM Tools

Range, Jan Peter; Iglezakis, Dorothea, 2021, "EnzymeML Metadata Block Configuration for Dataverse", https://doi.org/10.18419/DARUS-2105, DaRUS, V1

This dataset contains a TSV-File for the configuration of a metadata block for data repositories basing on Dataverse. The block helps to describe datasets with the concepts of the metadata scheme EnzymeML, which is a data model provided to facilitate the documentation and exchange of enzymological and biocatalytic research data. To add a metadata b...

EnzymeML.tsv

Aug 5, 2021 - EnzymeML Metadata Block Configuration for Dataverse

Tab-Separated Values - 14.0 KB -

Sampling Strategies of the Regime-and-memory model (RMM)

Jun 24, 2021 - CAMPOS Project P8: Conceptual Model Uncertainty

Gonzalez-Nicolas Alvarez, Ana, 2021, "Sampling Strategies of the Regime-and-memory model (RMM)", https://doi.org/10.18419/DARUS-2035, DaRUS, V1, UNF:6:JeAvfovoq369qtbASSmQjg== [fileUNF]

This excel file includes the observation time, Q, concentration, and lag-time used by the sampling strategies. Types of sampling strategies: Time frequency sampling strategies. River discharge frequency sampling strategies. Low Q sampling strategies. High Q sampling strategies. Low and High Q sampling strategies.

flow_discharge_frequency_sampling_designs.csv

Jun 24, 2021 - Sampling Strategies of the Regime-and-memory model (RMM)

Tabular Data - 2.6 KB - 6 Variables, 75 Observations -

This file includes the river discharge frequency sampling strategies used in the manuscript Gonzalez-Nicolas et al. (2021), "Characterization of export regimes in concentration–discharge plots via an advanced time-series model and event-Based sampling strategies", Water.

high_q_sampling_designs.csv

Jun 24, 2021 - Sampling Strategies of the Regime-and-memory model (RMM)

Tabular Data - 1.8 KB - 5 Variables, 75 Observations -

This file includes the high Q sampling strategies used in the manuscript Gonzalez-Nicolas et al. (2021), "Characterization of export regimes in concentration–discharge plots via an advanced time-series model and event-Based sampling strategies", Water.

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