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  Computational Solvent Screening for Efficient Microalgal-based Biorefineries exemplified by Phaeodactylum tricornutum

König-Mattern, L., Linke, S., Rihko-Struckmann, L., & Sundmacher, K. (2021). Computational Solvent Screening for Efficient Microalgal-based Biorefineries exemplified by Phaeodactylum tricornutum. Talk presented at International Conference on Algal Biomass, Biofuels and Bioproducts (AlgalBBB 2021). Virtual. 2021-06-15 - 2021-06-16.

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 Creators:
König-Mattern, Laura1, Author              
Linke, Steffen2, 3, Author              
Rihko-Struckmann, Liisa1, Author              
Sundmacher, Kai1, 3, Author              
Affiliations:
1Process Systems Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738151              
2International Max Planck Research School (IMPRS), Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738143              
3Otto-von-Guericke-Universität Magdeburg, External Organizations, ou_1738156              

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Language(s): eng - English
 Dates: 2021
 Publication Status: Not specified
 Pages: -
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 Table of Contents: -
 Rev. Type: Peer
 Identifiers: -
 Degree: -

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Title: International Conference on Algal Biomass, Biofuels and Bioproducts (AlgalBBB 2021)
Place of Event: Virtual
Start-/End Date: 2021-06-15 - 2021-06-16

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