Dynamic Analysis of Membrane Emulsification: An In Situ Observation and Calculation with Deep Learning Model

Dynamic Analysis of Membrane Emulsification: An In Situ Observation and Calculation with Deep Learning Model

Membrane emulsification, an energy-efficient technology, faces application challenges such as membrane parameters optimization (e.g., pore size–porosity synergy) and unclear dynamic mechanisms. Existing studies lack in situ observation of formation processes, hindering correlation between pore struc...

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Bibliographic Details
Main Author: Ke Zhou (131917) (author)
Other Authors: Qian Jiang (216582) (author), Hong Jiang (79543) (author), Wenheng Jing (1672774) (author), Xiaobin Ding (3040209) (author), Zhaoxiang Zhong (1521655) (author), Weihong Xing (1469971) (author)
Published: 2025
Subjects:
Biophysics
Cell Biology
Space Science
Biological Sciences not elsewhere classified
Chemical Sciences not elsewhere classified
Physical Sciences not elsewhere classified
weber number (<
trained model achieved
speed microscope system
faces application challenges
existing studies lack
exerts minimal impact
deep learning model
critical condition (<
visible membrane module
membrane parameters optimization
unclear dynamic mechanisms
study provides theoretical
situ observation device
situ observation
membrane emulsification
dynamic analysis
technical insights
size distribution
pore structures
pore size
microdroplet size
hindering correlation
first visualization
emulsion performance
efficient technology
demanding conditions
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