Gas permeability, diffusivity, and solubility in polymers: Simulation-experiment data fusion and multi-task machine learning-Reference-Cited by-同舟云学术

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Gas permeability, diffusivity, and solubility in polymers: Simulation-experiment data fusion and multi-task machine learning

Published:2024-08-15 Issue:1 Volume:10 Page:
ISSN:2057-3960
Container-title:npj Computational Materials
language:en
Short-container-title:npj Comput Mater

Author:

Phan Brandon K.^ORCID,Shen Kuan-Hsuan,Gurnani Rishi^ORCID,Tran Huan,Lively Ryan,Ramprasad Rampi^ORCID

Funder

United States Department of Defense | United States Navy | Office of Naval Research

Publisher

Springer Science and Business Media LLC

Link

https://www.nature.com/articles/s41524-024-01373-9.pdf

Reference54 articles.

1. Ferreira, A., Alves, V. & Coelhoso, I. Polysaccharide-based membranes in food packaging applications. Membranes 6, 22 (2016).

2. Baker, R. W. Membrane technology. Encyclopedia of Polymer Science and Technology 2001,

3. Wijmans, J. & Baker, R. The solution-diffusion model: a review. J. Membr. Sci. 107, 1–21 (1995).

4. Tran, H., Shen, K.-H., Shukla, S., Kwon, H.-K. & Ramprasad, R. Informatics-driven selection of polymers for fuel-cell applications. J. Phys. Chem. C. 127, 977–986 (2023).

5. Barnett, J. W. et al. Designing exceptional gas-separation polymer membranes using machine learning. Sci. Adv. 6, eaaz4301 (2020).

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