Exploring catalytic reaction networks with machine learning
Chemical reaction networks form the heart of microkinetic models, which are one of the key
tools available for gaining detailed mechanistic insight into heterogeneous catalytic
processes. The exploration of complex chemical reaction networks is therefore a central task
in current catalysis research. Unfortunately, microscopic experimental information about
which elementary reaction steps are relevant to a given process is almost always sparse,
making the inference of networks from experiments alone almost impossible. While …
tools available for gaining detailed mechanistic insight into heterogeneous catalytic
processes. The exploration of complex chemical reaction networks is therefore a central task
in current catalysis research. Unfortunately, microscopic experimental information about
which elementary reaction steps are relevant to a given process is almost always sparse,
making the inference of networks from experiments alone almost impossible. While …
[引用][C] Exploring Catalytic Reaction Networks with Machine Learning
K Reuter - NHR-Atomistic Simulation Symposium 2022 - pure.mpg.de
Exploring Catalytic Reaction Networks with Machine Learning :: MPG.PuRe … Exploring
Catalytic Reaction Networks with Machine Learning … Exploring Catalytic Reaction
Networks with Machine Learning. Talk presented at NHR-Atomistic Simulation Symposium
2022. Online Event. …
Catalytic Reaction Networks with Machine Learning … Exploring Catalytic Reaction
Networks with Machine Learning. Talk presented at NHR-Atomistic Simulation Symposium
2022. Online Event. …
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