Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Laura Maria Neuendorf"'
Publikováno v:
ACS Sustainable Chemistry & Engineering. 11:4699-4706
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3d1aa761974c014579b6477b96d6080b
https://doi.org/10.1021/acssuschemeng.2c07046
https://doi.org/10.1021/acssuschemeng.2c07046
Flooding of separation columns is a severe limitation in the operation of distillation and liquid-liquid extraction columns. To observe operation conditions, machine learning algorithms are implemented to recognize the flooding behavior of separation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f6db7efa48d4935e4b415d956504461f
http://hdl.handle.net/2003/40795
http://hdl.handle.net/2003/40795
For many applications, such as liquid-liquid or gas-liquid reactions, the generation of monodisperse droplets is of major interest. Therefore, knowledge about the physics of droplet formation is essential and the subject of numerous studies. Droplet
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f879dfaf22978c5d65c990e29b93804f
https://doi.org/10.1115/1.0005359v
https://doi.org/10.1115/1.0005359v
Machine Learning (ML) algorithms can be combined with the modular automation protocol (MTP) and recognize the flooding behavior of laboratory fluids separation columns. Hence, artificial intelligence (AI) tools with deep learning (DL) offer a high po
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::460838d89fd29e4f4640fa4c303de429
https://doi.org/10.22541/au.160660624.43119897/v1
https://doi.org/10.22541/au.160660624.43119897/v1
Publikováno v:
AIChE Journal. 67
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::397db7e91cea82fff0ea162d59773701
https://doi.org/10.1002/aic.17111
https://doi.org/10.1002/aic.17111
Publikováno v:
Polymer. 203:122788
In this work, two different approaches were followed to realize a shape-memory effect for synthetic rubber (IR). Firstly, we explored the influence of stearic acid (StA) on the shape-memory effect (SME) of IR. It was found that small concentrations o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::195131f227bc367ba50d5515494eec20
https://doi.org/10.1016/j.polymer.2020.122788
https://doi.org/10.1016/j.polymer.2020.122788