A Machine Learning Based Approach to Reaction Rate Estimation
Chemical kinetic models are vital to accurately predicting phenomena in a wide variety of fields from combustion to atmospheric chemistry to electrochemistry. However, building an accurate chemical kinetic model requires the efficient and accurate estimation of many reaction rate coefficients for ma...
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Format: | Article |
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Royal Society of Chemistry
2024
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Online Access: | https://hdl.handle.net/1721.1/156725 |