101 to 110 of 159 Results
Dec 9, 2025 -
Kinetic modeling of enzymatic cephalexin synthesis with neural ODEs and surrogate-accelerated Bayesian inference
Tabular Data - 735 B - 12 Variables, 4 Observations - UNF:6:KAVdbvsG48/xMZRK/jbI1g==
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Dec 9, 2025 -
Kinetic modeling of enzymatic cephalexin synthesis with neural ODEs and surrogate-accelerated Bayesian inference
Tabular Data - 730 B - 12 Variables, 4 Observations - UNF:6:zyU8b1y99ywfb6TaVSi6Xg==
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Dec 9, 2025 -
Kinetic modeling of enzymatic cephalexin synthesis with neural ODEs and surrogate-accelerated Bayesian inference
Unknown - 448 B -
MD5: 3159a2520e1ac2d4a39e088a2490da1d
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Dec 9, 2025 -
Kinetic modeling of enzymatic cephalexin synthesis with neural ODEs and surrogate-accelerated Bayesian inference
Jupyter Notebook - 7.9 MB -
MD5: 9a0f5c45e8b5ee6772cf04e7d0dc893f
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Dec 9, 2025 -
Kinetic modeling of enzymatic cephalexin synthesis with neural ODEs and surrogate-accelerated Bayesian inference
Unknown - 256 B -
MD5: a0ee4ba857be5bc77aae91c66caba1f9
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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... |
XML - 46.9 KB -
MD5: 36b6a6a26016a3252612e095702f0f4d
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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... |
Oct 28, 2022 -
Densities of simulated aqueous methanol mixtures
XML - 25.4 KB -
MD5: e05ca93c7efe519df9e02cb2a752dff2
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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... |
