Exploiting network topology for large-scale inference of nonlinear reaction models
The development of chemical reaction models aids understanding and prediction in areas ranging from biology to electrochemistry and combustion. A systematic approach to building reaction network models uses observational data not only to estimate unknown parameters but also to learn model structure....
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| Format: | Article |
| Language: | English |
| Published: |
The Royal Society
2020
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| Online Access: | https://hdl.handle.net/1721.1/126467 |