Software-driven RDM (sdRDM), a generic and extensible bottom-up research data management concept and its application in biocatalysis and beyond.
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131 to 140 of 187 Results
times.npy
Dec 9, 2025 - Kinetic modeling of enzymatic cephalexin synthesis with neural ODEs and surrogate-accelerated Bayesian inference
Unknown - 448 B - MD5: 3159a2520e1ac2d4a39e088a2490da1d
TrainNeuralODE.ipynb
Dec 9, 2025 - Kinetic modeling of enzymatic cephalexin synthesis with neural ODEs and surrogate-accelerated Bayesian inference
Jupyter Notebook - 7.9 MB - MD5: 9a0f5c45e8b5ee6772cf04e7d0dc893f
y0s.npy
Dec 9, 2025 - Kinetic modeling of enzymatic cephalexin synthesis with neural ODEs and surrogate-accelerated Bayesian inference
Unknown - 256 B - MD5: a0ee4ba857be5bc77aae91c66caba1f9
Self-diffusion coefficients of simulated aqueous glycerol mixtures
Oct 28, 2022 - FAIR Fluids
Gültig, Matthias; Range, Jan Peter; Schmitz, Benjamin; Pleiss, Jürgen, 2022, "Self-diffusion coefficients of simulated aqueous glycerol mixtures", https://doi.org/10.18419/DARUS-3115, DaRUS, V1
In order to make thermophysical properties of complex liquid mixtures available to a comprehensive analysis, we developed a data management and analysis platform based on the standard data exchange format ThermoML. The practicability of integrating thermophysical data from experiment and simulation was demonstrated for two binary mixtures, methanol...
sim_transp_glyc.xml
Oct 28, 2022 - Self-diffusion coefficients of simulated aqueous glycerol mixtures
XML - 46.9 KB - MD5: 36b6a6a26016a3252612e095702f0f4d
Densities of simulated aqueous methanol mixtures
Oct 28, 2022 - FAIR Fluids
Gültig, Matthias; Range, Jan Peter; Schmitz, Benjamin; Pleiss, Jürgen, 2022, "Densities of simulated aqueous methanol mixtures", https://doi.org/10.18419/DARUS-3112, DaRUS, V1
In order to make thermophysical properties of complex liquid mixtures available to a comprehensive analysis, we developed a data management and analysis platform based on the standard data exchange format ThermoML. The practicability of integrating thermophysical data from experiment and simulation was demonstrated for two binary mixtures, methanol...
sim_dens_meth.xml
Oct 28, 2022 - Densities of simulated aqueous methanol mixtures
XML - 25.4 KB - MD5: e05ca93c7efe519df9e02cb2a752dff2
Self-diffusion coefficients of simulated aqueous methanol mixtures
Oct 28, 2022 - FAIR Fluids
Gültig, Matthias; Range, Jan Peter; Schmitz, Benjamin; Pleiss, Jürgen, 2022, "Self-diffusion coefficients of simulated aqueous methanol mixtures", https://doi.org/10.18419/DARUS-3114, DaRUS, V1
In order to make thermophysical properties of complex liquid mixtures available to a comprehensive analysis, we developed a data management and analysis platform based on the standard data exchange format ThermoML. The practicability of integrating thermophysical data from experiment and simulation was demonstrated for two binary mixtures, methanol...
sim_transp_meth.xml
Oct 28, 2022 - Self-diffusion coefficients of simulated aqueous methanol mixtures
XML - 36.1 KB - MD5: e1483dc1b0b77b497b8f5a9338a81c70
Densities of experimental aqueous methanol mixtures
Oct 28, 2022 - FAIR Fluids
Gültig, Matthias; Range, Jan Peter; Schmitz, Benjamin; Pleiss, Jürgen, 2022, "Densities of experimental aqueous methanol mixtures", https://doi.org/10.18419/DARUS-3116, DaRUS, V1
In order to make thermophysical properties of complex liquid mixtures available to a comprehensive analysis, we developed a data management and analysis platform based on the standard data exchange format ThermoML. The practicability of integrating thermophysical data from experiment and simulation was demonstrated for two binary mixtures, methanol...
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