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

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...

Full description

Saved in:
Bibliographic Details
Main Authors: Harshada Mhetre, Sagar Pande, Babita Singla, Pavan Hiremath, Samriddh Sahu, Sarvesh Sorte, Ketan Kotecha, Nithesh Naik
Format: Article
Language:English
Published: Springer 2025-04-01
Series:Discover Applied Sciences
Subjects:
LSTM
Multiple regression models
TiO2 nanofibers
Electrospinning
Machine learning model
Online Access:https://doi.org/10.1007/s42452-025-06823-7
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1007/s42452-025-06823-7

Similar Items