Efficient Neural Network Models of Chemical Kinetics Using a Latent asinh Rate Transformation
نویسندگان
چکیده
We propose a new modeling strategy to build efficient neural network representations of chemical kinetics. Instead fitting the logarithm rates, we embed hyperbolic sine function into neural...
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ژورنال
عنوان ژورنال: Reaction Chemistry and Engineering
سال: 2023
ISSN: ['2058-9883']
DOI: https://doi.org/10.1039/d3re00212h