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Machine Learning-Driven, Sensor-Integrated Microfluidic Device for Monitoring and Control of Supersaturation for Automated Screening of Crystalline Materials.
Coliaie, Paria; Prajapati, Aditya; Ali, Rabia; Korde, Akshay; Kelkar, Manish S; Nere, Nandkishor K; Singh, Meenesh R.
Afiliação
  • Coliaie P; Department of Chemical Engineering, University of Illinois Chicago, Chicago, Illinois 60607, United States.
  • Prajapati A; Department of Chemical Engineering, University of Illinois Chicago, Chicago, Illinois 60607, United States.
  • Ali R; Department of Chemical Engineering, University of Illinois Chicago, Chicago, Illinois 60607, United States.
  • Korde A; Center of Excellence for Isolation & Separation Technologies (CoExIST), Process R&D, AbbVie Inc., North Chicago, Illinois 60064, United States.
  • Kelkar MS; Center of Excellence for Isolation & Separation Technologies (CoExIST), Process R&D, AbbVie Inc., North Chicago, Illinois 60064, United States.
  • Nere NK; Department of Chemical Engineering, University of Illinois Chicago, Chicago, Illinois 60607, United States.
  • Singh MR; Center of Excellence for Isolation & Separation Technologies (CoExIST), Process R&D, AbbVie Inc., North Chicago, Illinois 60064, United States.
ACS Sens ; 7(3): 797-805, 2022 03 25.
Article em En | MEDLINE | ID: mdl-35045697
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Microfluídica / Dispositivos Lab-On-A-Chip Tipo de estudo: Diagnostic_studies / Screening_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Microfluídica / Dispositivos Lab-On-A-Chip Tipo de estudo: Diagnostic_studies / Screening_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article