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Subject: Chemistry Keyword Term: Machine Learning

1 to 3 of 3 Results

Code and data for the manuscript 'A numerical compass for experiment design in chemical kinetics and molecular property estimation' Mar 22, 2024 Krueger, Matteo; Berkemeier, Thomas, 2023, "Code and data for the manuscript 'A numerical compass for experiment design in chemical kinetics and molecular property estimation'", https://doi.org/10.17617/3.D5PCQK, Edmond, V3 The numerical compass (NC) method integrates kinetic models, global optimization, ensemble methods, and machine learning to identify experimental conditions with the greatest potential to constrain kinetic parameters. The approach is based on the quantification of model output va...
DECAF — A Fuzzy Classification Framework to Identify Equivalent Atoms in Complex Materials and Molecules Jun 27, 2023 Lai, King Chun; Matera, Sebastian; Scheurer, Christoph; Reuter, Karsten, 2023, "DECAF — A Fuzzy Classification Framework to Identify Equivalent Atoms in Complex Materials and Molecules", https://doi.org/10.17617/3.U7VKBM, Edmond, V1 This data set contains implementation code and examples for the methodology described in the research article with the title "A Fuzzy Classification Framework to Identify Equivalent Atoms in Complex Materials and Molecules". The article is accepted by The Journal of Chemical Phys...
Model structures for glass phases of the solid-state electrolyte LPS Aug 17, 2022 Scheurer, Christoph, 2022, "Model structures for glass phases of the solid-state electrolyte LPS", https://doi.org/10.17617/3.VZHSXS, Edmond, V1 This dataset contains several representative glass structures for stoichiometries Li3PS4, Li4P2S7, and Li7P3S11 from the class of Li2S-P2S5 (LPS) solid-state electrolytes (SSE).

Code and data for the manuscript 'A numerical compass for experiment design in chemical kinetics and molecular property estimation'

Mar 22, 2024

Krueger, Matteo; Berkemeier, Thomas, 2023, "Code and data for the manuscript 'A numerical compass for experiment design in chemical kinetics and molecular property estimation'", https://doi.org/10.17617/3.D5PCQK, Edmond, V3

The numerical compass (NC) method integrates kinetic models, global optimization, ensemble methods, and machine learning to identify experimental conditions with the greatest potential to constrain kinetic parameters. The approach is based on the quantification of model output va...

DECAF — A Fuzzy Classification Framework to Identify Equivalent Atoms in Complex Materials and Molecules

Jun 27, 2023

Lai, King Chun; Matera, Sebastian; Scheurer, Christoph; Reuter, Karsten, 2023, "DECAF — A Fuzzy Classification Framework to Identify Equivalent Atoms in Complex Materials and Molecules", https://doi.org/10.17617/3.U7VKBM, Edmond, V1

This data set contains implementation code and examples for the methodology described in the research article with the title "A Fuzzy Classification Framework to Identify Equivalent Atoms in Complex Materials and Molecules". The article is accepted by The Journal of Chemical Phys...

Model structures for glass phases of the solid-state electrolyte LPS

Aug 17, 2022

Scheurer, Christoph, 2022, "Model structures for glass phases of the solid-state electrolyte LPS", https://doi.org/10.17617/3.VZHSXS, Edmond, V1

This dataset contains several representative glass structures for stoichiometries Li3PS4, Li4P2S7, and Li7P3S11 from the class of Li2S-P2S5 (LPS) solid-state electrolytes (SSE).

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