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Bayesian inference of chemical kinetic models from proposed reactions
Nikhil Galagali, Youssef M. Marzouk
Research output
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Contribution to journal
›
Article
›
peer-review
29
Scopus citations
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Dive into the research topics of 'Bayesian inference of chemical kinetic models from proposed reactions'. Together they form a unique fingerprint.
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Mathematics
Chemical Kinetics
50%
Model Structure
33%
Rate Constant
33%
Bayesian Inference
33%
Uncertainty Quantification
16%
Computational Cost
16%
Small Set
16%
Inference
16%
Bayesian
16%
Point Mass
16%
Model Space
16%
Largest Number
16%
Posterior Distribution
16%
Markov Chain Monte Carlo Method
16%
Bayesian Model
16%
Posterior Model Probability
16%
Posterior Sample
16%
Earth and Planetary Sciences
Methane
50%
Reaction Kinetics
50%
Model
50%
Datum
50%
Inference
16%
Approach
16%
Knowledge
16%
Utilization
16%
Mixture
16%
Comparison
16%
Proving
16%
Hypothesis
16%
Steam
16%
Chemistry
Chemical Kinetics Characteristics
100%
Rate Constant
33%
Chemical Reaction
33%
Reforming Reaction
16%
Procedure
16%
Mixture
16%
Application
16%
Physics
Reaction Kinetics
50%
Model
50%
Uncertainty Quantification
16%
Mixtures
16%
Utilization
16%
Knowledge
16%
Steam
16%
Computer Science
Simulation Mode
50%
Computational Cost
16%
Posterior Distribution
16%
Parameter Value
16%
Selection Method
16%
Bayesian Model Selection
16%
Bayesian Model
16%
Application
16%
Diagnostic Information
16%