Data-Driven Machine Learning Approach for Modeling the Production and Predicting the Characteristics of Aligned Electrospun Nanofibers-Reference-Cited by-同舟云学术

Data-Driven Machine Learning Approach for Modeling the Production and Predicting the Characteristics of Aligned Electrospun Nanofibers

Published:2024-03-27 Issue:22 Volume:63 Page:9904-9913
ISSN:0888-5885
Container-title:Industrial & Engineering Chemistry Research
language:en
Short-container-title:Ind. Eng. Chem. Res.

Author:

López-Flores Francisco Javier¹^ORCID,Ornelas-Guillén Jorge Andrés²,Pérez-Nava Alejandra³,González-Campos J. Betzabe²^ORCID,Ponce-Ortega José María¹^ORCID

Affiliation:

1. Chemical Engineering Department, Universidad Michoacana de San Nicolás de Hidalgo, Av. Francisco J. Múgica, S/N, Ciudad Universitaria, Edificio V1, Morelia, Michoacán 58060, México

2. Biological and Chemical Research Institute, Universidad Michoacana de San Nicolás de Hidalgo, Av. Francisco J. Múgica, S/N, Ciudad Universitaria, Edificio V1, Morelia, Michoacán 58060, México

3. Instituto de Química, Universidad Nacional Autónoma de México, Circuito Exterior S/N, Ciudad Universitaria,Ciudad de México04510, México

Funder

Universidad Michoacana de San Nicol??s de Hidalgo

Consejo Nacional de Humanidades, Ciencias y Tecnolog??as

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.iecr.4c00075

Reference48 articles.

1. Electrospun nanofibers: New generation materials for advanced applications

2. Polyvinyl Alcohol-Chitosan Scaffold for Tissue Engineering and Regenerative Medicine Application: A Review

3. PVA-based hydrogels for tissue engineering: A review

4. Synthesis and characterization of electrospun polyvinyl alcohol nanofibrous scaffolds modified by blending with chitosan for neural tissue engineering

5. Antibacterial aligned nanofibrous chitosan/PVA patch for repairing chronic tympanic membrane perforations

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