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Niklas Adebar

As seen in: Wiley Online Library
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Articles

Sabatier Principle Revisited: The Role of Electronic Properties in Simple Catalytic Reactions

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By Ramón Alain Miranda-Quintana, Niklas Adebar, Moritz Schulze, Jens Smiatek
| dx.doi.org
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Physics‐informed neural networks for biopharmaceutical cultivation processes: Consideration of varying process parameter settings

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By Niklas Adebar, Sabine Arnold, Liliana Herrera
| Wiley Online Library Verified
CONFLICT OF INTEREST STATEMENT All authors are employees of Boehringer Ingelheim Pharma GmbH & Co. KG. Supporting Information Filename Description bit28851-sup-0001-SI.pdf544.4 KB Supplementary Information REFERENCES , , , , , , & (2024). Scientific deep machine learning concepts for the prediction of chemical reaction kinetics: Consideration of variations in reaction condition. The Journal of Physical Chemistry A, 128(5), 929–944. https://doi.org/10.1021/acs.jpca.3c06265 , , , & (2023).
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Scientific Deep Machine Learning Concepts for the Prediction of Concentration Profiles and Chemical Reaction Kinetics: Consideration of Reaction Conditions

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By Niklas Adebar, Julian Keupp, Jonas Kühlborn, Victor N. Emenike
| dx.doi.org
Download Hi-Res ImageDownload to MS-PowerPointCite This:J. Phys. Chem. A 2024, XXXX, XXX Terms & Conditions Most electronic Supporting Information files are available without a subscription to ACS Web Editions. Such files may be downloaded by article for research use (if there is a public use license linked to the relevant article, that license may permit other uses).
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