Machine Learning-Aided Microdroplets Breakup Characteristic Prediction in Flow-Focusing Microdevices by Incorporating Variations of Cross-Flow Tilt Angles.

Talebjedi, Bahram; Abouei Mehrizi, Ali; Talebjedi, Behnam; Mohseni, Seyed Sepehr; Tasnim, Nishat; Hoorfar, Mina

Talebjedi, Bahram; Abouei Mehrizi, Ali; Talebjedi, Behnam; Mohseni, Seyed Sepehr; Tasnim, Nishat; Hoorfar, Mina.

Afiliación

Talebjedi B; School of Engineering, University of British Columbia, Kelowna, British Columbia V1V 1V7, Canada.
Abouei Mehrizi A; Faculty of New Sciences and Technologies, University of Tehran, Tehran 1439957131, Iran.
Talebjedi B; Faculty of New Sciences and Technologies, University of Tehran, Tehran 1439957131, Iran.
Mohseni SS; Department of Mechanical Engineering, School of Engineering, Aalto University, Espoo 02150, Finland.
Tasnim N; Faculty of New Sciences and Technologies, University of Tehran, Tehran 1439957131, Iran.
Hoorfar M; School of Engineering, University of British Columbia, Kelowna, British Columbia V1V 1V7, Canada.

Langmuir ; 38(34): 10465-10477, 2022 08 30.

Article en En | MEDLINE | ID: mdl-35973231

Asunto(s)

Dispositivos Laboratorio en un Chip; Microfluídica; Aprendizaje Automático

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Microfluídica / Dispositivos Laboratorio en un Chip Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Langmuir Asunto de la revista: QUIMICA Año: 2022 Tipo del documento: Article País de afiliación: Canadá Pais de publicación: Estados Unidos

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