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Deep learning based surrogate modeling and optimization for Microalgal biofuel production and photobioreactor design

Identifying optimal photobioreactor configurations and process operating conditions is critical to industrialize microalgae-derived biorenewables. Traditionally, this was addressed by testing numerous design scenarios from integrated physical models coupling computational fluid dynamics and kinetic...

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Bibliographic Details
Main Authors: Ehecatl Antonio del Rio-Chanona, Jonathan Wagner, Haider Ali, Fabio Fiorelli, Dongda Zhang, Klaus Hellgardt
Format: Default Article
Published: 2018
Subjects:
Online Access:https://hdl.handle.net/2134/36305
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