Data driven modeling of TiO2 PVP nanofiber diameter using LSTM and regression for enhanced functional performance

Abstract The prospective utilization of electrospun nanofibers across diverse fields has elicited substantial scientific attention. Nevertheless, managing their diameter remains problematic due to the intricate interactions among electrospinning variables. This research explores the application of L...

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Hoofdauteurs:	Harshada Mhetre, Sagar Pande, Babita Singla, Pavan Hiremath, Samriddh Sahu, Sarvesh Sorte, Ketan Kotecha, Nithesh Naik
Formaat:	Artigo
Taal:	Inglês
Gepubliceerd in:	Springer 2025-04-01
Reeks:	Discover Applied Sciences
Onderwerpen:	LSTM Multiple regression models TiO2 nanofibers Electrospinning Machine learning model
Online toegang:	https://doi.org/10.1007/s42452-025-06823-7
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