Data-Driven Prediction of Janus/Core–Shell Morphology in Polymer Particles: A Machine-Learning Approach-Reference-Cited by-同舟云学术

Data-Driven Prediction of Janus/Core–Shell Morphology in Polymer Particles: A Machine-Learning Approach

Published:2023-03-31 Issue:14 Volume:39 Page:4943-4958
ISSN:0743-7463
Container-title:Langmuir
language:en
Short-container-title:Langmuir

Author:

Esteki Bahareh¹^ORCID,Masoomi Mahmood¹^ORCID,Moosazadeh Mohammad²^ORCID,Yoo ChangKyoo²^ORCID

Affiliation:

1. Department of Chemical Engineering, Polymer Group, Isfahan University of Technology, Isfahan 84156-83111, Iran

2. Integrated Engineering Major, Department of Environmental Science and Engineering, Kyung Hee University, Seocheon-dong 1, Giheung-gu, Yongin-Si, Gyeonggi-Do 446-701, South Korea

Publisher

American Chemical Society (ACS)

Subject

Electrochemistry,Spectroscopy,Surfaces and Interfaces,Condensed Matter Physics,General Materials Science

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.langmuir.2c03355

Reference103 articles.

1. Janus particles

2. Janus Particles: Synthesis, Self-Assembly, Physical Properties, and Applications

3. Fabrication, properties and applications of Janus particles

4. Janusnanoparticles: materials, preparation and recent advances in drug delivery

5. Janus Particle Synthesis, Assembly, and Application

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