Investigating Permselectivity in PVDF Mixed Matrix Membranes Using Experimental Optimization, Machine Learning Segmentation, and Statistical Forecasting-Reference-Cited by-同舟云学术

Investigating Permselectivity in PVDF Mixed Matrix Membranes Using Experimental Optimization, Machine Learning Segmentation, and Statistical Forecasting

Published:2024-06-21 Issue:26 Volume:9 Page:28764-28775
ISSN:2470-1343
Container-title:ACS Omega
language:en
Short-container-title:ACS Omega

Author:

Merugu Saketh¹,Kearney Logan T.²,Keum Jong K.³,Naskar Amit K.²^ORCID,Ansary Jamal¹,Herbert Aidan⁴,Islam Monsur⁵,Mondal Kunal⁶^ORCID,Gupta Anju¹^ORCID

Affiliation:

1. Department of Mechanical, Industrial and Manufacturing Engineering, The University of Toledo, 2801 West Bancroft Street, Toledo, Ohio 43606, United States

2. Carbon and Composites Group, Chemical Sciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37830, United States

3. Center for Nanophase Materials Science, Oak Ridge National Laboratory, Bethel Valley Rd, Oak Ridge, Tennessee 37830, United States

4. DigiM Solution LLC, 500 West Cummings Park, Suite 3650, Woburn, Massachusetts 01801, United States

5. IMDEA Materials Institute, Tecnogetafe, Calle Eric Kandel 2, Getafe, Madrid 28906, Spain

6. Nuclear Energy and Fuel Cycle Division, Oak Ridge National Laboratory, Bethel Valley Rd, Oak Ridge, Tennessee 37830, United States

Funder

Materials Sciences and Engineering Division

Division of Chemical, Bioengineering, Environmental, and Transport Systems

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acsomega.4c03024

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