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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Andreas Rupp

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#machine learning Preprint Sep 2026

Evaluation of optimisation and Bayesian inference methods for reaction rates in atmospheric chemical mechanisms

Constraining reaction rate coefficients is a central challenge in the development of explicit atmospheric chemical mechanisms, particularly for autoxidation systems where many reaction pathways are only indirectly observed through high-resolution mass spectrometry. In this study, we evaluate rate-coefficient optimisati...

Valery Ashu, W. Peng, Zhi-Song Liu et al. · 0 citations
Open access Jul 2026

A parameterized learning method based on data-driven and physical constraints for solving the fluid model of low-temperature plasma

Low-temperature plasma (LTP) plays an indispensable role in environmental remediation and energy conversion. Rapid prediction of state parameters in LTP is crucial for enhancing both pollutant degradation efficiency and fuel conversion performance. To address the high computational cost of traditional numerical methods...

Jin-Hu Xu, Jia-Wei Zhang, Yufei Wang et al. · 0 citations

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