Learning Chemical Reaction Networks from Trajectory Data
نویسندگان
چکیده
منابع مشابه
Reverse Engineering Chemical Reaction Networks from Time Series Data
The automated inference of physically interpretable (bio)chemical reaction network models from measured experimental data is a challenging problem whose solution has significant commercial and academic ramifications. It is demonstrated, using simulations, how sets of elementary reactions comprising chemical reaction networks, as well as their rate coefficients, may be accurately recovered from ...
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ژورنال
عنوان ژورنال: SIAM Journal on Applied Dynamical Systems
سال: 2019
ISSN: 1536-0040
DOI: 10.1137/19m1265880