Machine Learning-Aided Microdroplets Breakup Characteristic Prediction in Flow-Focusing Microdevices by Incorporating Variations of Cross-Flow Tilt Angles
Controlling droplet breakup characteristics such as size, frequency, regime, and droplet quality within flow-focusing microfluidic devices is critical for different biomedical applications of droplet microfluidics such as drug delivery, biosensing, and nanomaterial preparation. The development of a...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | Langmuir : the ACS journal of surfaces and colloids. - 1992. - 38(2022), 34 vom: 30. Aug., Seite 10465-10477
|
|---|
| 1. Verfasser: |
Talebjedi, Bahram
(VerfasserIn) |
|---|
| Weitere Verfasser: |
Abouei Mehrizi, Ali,
Talebjedi, Behnam,
Mohseni, Seyed Sepehr,
Tasnim, Nishat,
Hoorfar, Mina |
|---|
| Format: | Online-Aufsatz
|
|---|
| Sprache: | English |
|---|
| Veröffentlicht: |
2022
|
|---|
| Zugriff auf das übergeordnete Werk: | Langmuir : the ACS journal of surfaces and colloids
|
|---|
| Schlagworte: | Journal Article
Research Support, Non-U.S. Gov't |
|---|