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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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Main Authors: | , , , , , |
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Format: | Default Article |
Published: |
2018
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Subjects: | |
Online Access: | https://hdl.handle.net/2134/36305 |
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