scholarly journals Deep learning‐based surrogate modeling and optimization for microalgal biofuel production and photobioreactor design

AIChE Journal ◽  
2018 ◽  
Vol 65 (3) ◽  
pp. 915-923 ◽  
Author(s):  
Ehecatl Antonio Rio‐Chanona ◽  
Jonathan L. Wagner ◽  
Haider Ali ◽  
Fabio Fiorelli ◽  
Dongda Zhang ◽  
...  
Keyword(s):  
Deep Learning ◽  
Surrogate Modeling ◽  
Biofuel Production ◽  
Modeling And Optimization ◽  
Photobioreactor Design

The heat source layout optimization using deep learning surrogate modeling

2020 ◽  
Vol 62 (6) ◽  
pp. 3127-3148
Author(s):  
Xiaoqian Chen ◽  
Xianqi Chen ◽  
Weien Zhou ◽  
Jun Zhang ◽  
Wen Yao
Keyword(s):  
Deep Learning ◽  
Heat Source ◽  
Surrogate Modeling ◽  
Layout Optimization

Photobioreactor Design for Commercial Biofuel Production from Microalgae

2010 ◽  
Vol 49 (8) ◽  
pp. 3516-3526 ◽  
Author(s):  
Aditya M. Kunjapur ◽  
R. Bruce Eldridge
Keyword(s):  
Biofuel Production ◽  
Photobioreactor Design

A physics-informed deep learning framework for inversion and surrogate modeling in solid mechanics

2021 ◽  
Vol 379 ◽  
pp. 113741
Author(s):  
Ehsan Haghighat ◽  
Maziar Raissi ◽  
Adrian Moure ◽  
Hector Gomez ◽  
Ruben Juanes
Keyword(s):  
Deep Learning ◽  
Solid Mechanics ◽  
Surrogate Modeling ◽  
Learning Framework

Turbomachinery Blade Surrogate Modeling Using Deep Learning

2021 ◽  
pp. 92-104
Author(s):  
Shirui Luo ◽  
Jiahuan Cui ◽  
Vignesh Sella ◽  
Jian Liu ◽  
Seid Koric ◽  
...  
Keyword(s):  
Deep Learning ◽  
Surrogate Modeling

scholarly journals Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data

2019 ◽  
Vol 394 ◽  
pp. 56-81 ◽  
Author(s):  
Yinhao Zhu ◽  
Nicholas Zabaras ◽  
Phaedon-Stelios Koutsourelakis ◽  
Paris Perdikaris
Keyword(s):  
Deep Learning ◽  
Uncertainty Quantification ◽  
Surrogate Modeling ◽  
High Dimensional
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