April 17, 2024, 4:42 a.m. | Subhadarsi Nayak, Hrithwik Shalu, Joseph Stember

cs.LG updates on arXiv.org arxiv.org

arXiv:2404.10010v1 Announce Type: cross
Abstract: Tropospheric ozone, known as a concerning air pollutant, has been associated with health issues including asthma, bronchitis, and impaired lung function. The rates at which peroxy radicals react with NO play a critical role in the overall formation and depletion of tropospheric ozone. However, obtaining comprehensive kinetic data for these reactions remains challenging. Traditional approaches to determine rate constants are costly and technically intricate. Fortunately, the emergence of machine learning-based models offers a less resource …

abstract arxiv cs.ce cs.lg free function health however modeling physics.chem-ph react reinforcement reinforcement learning role type

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