Machine Learning Surrogate Models for Mechanistic Kinetics: Embedding Atom Balance and Positivity.

Kircher T, Votsmeier M

DOI: 10.1021/acs.jpclett.5c00602
Published: 2025 May 15
Container: The journal of physical chemistry letters
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1021/acs.jpclett.5c00602,
  title = {Machine Learning Surrogate Models for Mechanistic Kinetics: Embedding Atom Balance and Positivity.},
  author = {Kircher T and Votsmeier M},
  year = {2025},
  journal = {The journal of physical chemistry letters},
  doi = {10.1021/acs.jpclett.5c00602},
  url = {https://doi.org/10.1021/acs.jpclett.5c00602}
}

RIS

TY  - JOUR
TI  - Machine Learning Surrogate Models for Mechanistic Kinetics: Embedding Atom Balance and Positivity.
AU  - Kircher T
AU  - Votsmeier M
PY  - 2025
JO  - The journal of physical chemistry letters
DO  - 10.1021/acs.jpclett.5c00602
UR  - https://doi.org/10.1021/acs.jpclett.5c00602
ER  -

APA

T, K., & M, V. (2025). Machine Learning Surrogate Models for Mechanistic Kinetics: Embedding Atom Balance and Positivity.. The journal of physical chemistry letters. https://doi.org/10.1021/acs.jpclett.5c00602

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pubmed · retrieved 2026-09-26T03:22:19.444Z