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Microfluidic Screening-Assisted Machine Learning to Investigate Vertical Phase Separation of Small Molecule:Polymer Blend.
Lee, Jeong-Chan; Woo, Jun Hee; Lee, Ho-Jun; Lee, Minho; Woo, Heejin; Baek, Seunghyeok; Nam, Jaewook; Sim, Joo Yong; Park, Steve.
Afiliação
  • Lee JC; Organic and nano electronics laboratory, Department of Materials Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Seoul, 34141, Republic of Korea.
  • Woo JH; Organic and nano electronics laboratory, Department of Materials Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Seoul, 34141, Republic of Korea.
  • Lee HJ; Organic and nano electronics laboratory, Department of Materials Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Seoul, 34141, Republic of Korea.
  • Lee M; School of Chemical and Biological Engineering and Institute of Chemical Process, Seoul National University, Seoul, 08826, Republic of Korea.
  • Woo H; Organic and nano electronics laboratory, Department of Materials Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Seoul, 34141, Republic of Korea.
  • Baek S; Organic and nano electronics laboratory, Department of Materials Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Seoul, 34141, Republic of Korea.
  • Nam J; School of Chemical and Biological Engineering and Institute of Chemical Process, Seoul National University, Seoul, 08826, Republic of Korea.
  • Sim JY; Department of Mechanical Systems Engineering, Sookmyung Women's University, Seoul, 04310, Republic of Korea.
  • Park S; KI for Health Science and Technology, Saudi Aramco-KAIST CO2 Management Center, Department of Materials Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Seoul, 34141, Republic of Korea.
Adv Mater ; 34(7): e2107596, 2022 Feb.
Article em En | MEDLINE | ID: mdl-34865268

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article