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  A New Machine Learning Framework for Efficient MOF Discovery: Application to Hydrogen Storage

Zhou, T., Wang, Z., & Sundmacher, K. (2022). A New Machine Learning Framework for Efficient MOF Discovery: Application to Hydrogen Storage. Poster presented at 14th International Symposium on Process Systems Engineering: PSE 2021+, Kyoto, Japan.

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 Creators:
Zhou, Teng1, Author
Wang, Zihao2, 3, Author           
Sundmacher, Kai2, 4, Author           
Affiliations:
1External Organizations, ou_persistent22              
2Process Systems Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738151              
3International Max Planck Research School (IMPRS), Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, DE, ou_1738143              
4Otto-von-Guericke-Universität Magdeburg, External Organizations, ou_1738156              

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Language(s): eng - English
 Dates: 2022
 Publication Status: Not specified
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: -
 Degree: -

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Title: 14th International Symposium on Process Systems Engineering: PSE 2021+
Place of Event: Kyoto, Japan
Start-/End Date: 2022-06-19 - 2022-06-23

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