Machine learning assisted technoeconomic assessment of microalgal biofuel production pathways.
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| Title: | Machine learning assisted technoeconomic assessment of microalgal biofuel production pathways. |
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| Authors: | Singh R; Department of Physics, Institute of Applied Sciences and Humanities, GLA University, Mathura, Uttar Pradesh, 281406, India., Abbaszadeh M; W Booth School of Engineering Practice and Technology, McMaster University, Hamilton, ON, Canada. moha.abaszadeh@gmail.com., Punna SK; Department of Materials Science and Engineering, University of Houston, Houston, TX, 77004, USA., Pusuluru S; Department of Engineering Data Science, University of Houston, Houston, TX, 77004, USA., Samuel MS; Department of Materials Science and Engineering, University of Wisconsin Milwaukee, Milwaukee, WI, 53211, USA. melvinsamuel08@gmail.com.; Department of Bioengineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical, Chennai, Tamil Nadu, 602105, India. melvinsamuel08@gmail.com., Ethiraj S; Department of Genetic Engineering, College of Engineering and Technology, School of Bioengineering, SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu, India., Almukhlifi HA; Department of Chemistry, Faculty of Science, University of Tabuk, Tabuk, 71491, Kingdom of Saudi Arabia., Khan FR; Department of Clinical Laboratory Science, College of Applied Medical Sciences, Shaqra University, Al-Quwayihah, Riyadh, 11971, Kingdom of Saudi Arabia., Hazazi A; Department of Pathology and Laboratory Medicine, Security Forces Hospital Program, Riyadh, 11481, Kingdom of Saudi Arabia.; College of Medicine, Alfaisal University, Riyadh, 11533, Kingdom of Saudi Arabia., Menaa F; Department of Biomedical and Environmental Engineering (BEE), California Innovations Corporation (CIC), San Diego, CA, 92037, USA. |
| Source: | Bioprocess and biosystems engineering [Bioprocess Biosyst Eng] 2026 Jun; Vol. 49 (6), pp. 1447-1470. Date of Electronic Publication: 2026 May 20. |
| Publication Type: | Journal Article; Review |
| Journal Info: | Publisher: Springer-Verlag Country of Publication: Germany NLM ID: 101088505 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1615-7605 (Electronic) Linking ISSN: 16157591 NLM ISO Abbreviation: Bioprocess Biosyst Eng Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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