Electrospun nanofiber membrane diameter prediction using a combined response surface methodology and machine learning approach

• Published in: Scientific reports Vol. 13; no. 1; pp. 9679 - 14
• Main Authors: Pervez, Md. Nahid, Yeo, Wan Sieng, Mishu, Mst. Monira Rahman, Talukder, Md. Eman, Roy, Hridoy, Islam, Md. Shahinoor, Zhao, Yaping, Cai, Yingjie, Stylios, George K., Naddeo, Vincenzo
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 15.06.2023; Nature Publishing Group; Nature Portfolio
• Subjects: 639/301; 639/301/357; Design of experiments; Humanities and Social Sciences; Learning algorithms; Machine learning; multidisciplinary; Prediction models; Regression analysis; Science; Science (multidisciplinary)

Despite the widespread interest in electrospinning technology, very few simulation studies have been conducted. Thus, the current research produced a system for providing a sustainable and effective electrospinning process by combining the design of experiments with machine learning prediction model...