Accurately predicting transport properties of porous fibrous materials by machine learning methods-Reference-Cited by-同舟云学术

Accurately predicting transport properties of porous fibrous materials by machine learning methods

Published:2022-04-05 Issue:1 Volume:3 Page:
ISSN:2698-5977
Container-title:Electrochemical Science Advances
language:en
Short-container-title:Electrochemical Science Adv

Author:

Cawte Taylr¹,Bazylak Aimy¹^ORCID

Affiliation:

1. Department of Mechanical and Industrial Engineering, Thermofluids for Energy and Advanced Materials Laboratory Faculty of Applied Science and Engineering University of Toronto Toronto Canada

Funder

Natural Sciences and Engineering Research Council of Canada

Publisher

Wiley

Subject

General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/elsa.202100185

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