ArticleScientific reports2023
Electrospun nanofiber membrane diameter prediction using a combined response surface methodology and machine learning approach.
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- Article
- Article
- A surrogate-based inverse design framework for targeted diameter control of electrospun nanofibers.Scientific reports · 2026Article
- Article
- FibreCastML: an open web platform for predicting electrospun nanofibre diameter distributions for biomedical applications.Frontiers in bioengineering and biotechnology · 2026Article
- Article
- Modified polyacrylamide nanofiber membrane for efficient nitrate removal from landfill leachate.Scientific reports · 2025Article
- Prediction and evaluation of environmental quality for nursing sow buildings via multisource sensor information fusion.Scientific reports · 2025Article
- An In Situ Characterisation Method for 3-D Electrospun Foams.Nanomaterials (Basel, Switzerland) · 2025Article
- Electrospun nanofibers: Focus on local therapeutic delivery targeting infectious disease.Journal of drug delivery science and technology · 2025Article
- A supervised machine-learning analysis of doxorubicin-loaded electrospun nanofibers and their anticancer activity capabilities.Frontiers in bioengineering and biotechnology · 2025Article
- Article
- Machine learning-guided morphological property prediction of 2D electrospun scaffolds: the effect of polymer chemical composition and processing parameters.RSC advances · 2024Article
- Optimizing Nanosuspension Drug Release and Wound Healing Using a Design of Experiments Approach: Improving the Drug Delivery Potential of NDH-4338 for Treating Chemical Burns.Pharmaceutics · 2024Article
- The Investigation of the Production of Salt-Added Polyethylene Oxide/Chitosan Nanofibers.Materials (Basel, Switzerland) · 2023Article
- Response surface optimization of process parameters for preparation of cellulose nanocrystal stabilized nanosulphur suspension.Scientific reports · 2023Article
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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 models. Specifically, in order to estimate the diameter of the electrospun nanofiber membrane, we developed a locally weighted kernel partial least squares regression (LW-KPLSR) model based on a response surface methodology (RSM). The accuracy of the model's predictions was evaluated based on its root mean square error (RMSE), its mean absolute error (MAE), and its coefficient of determination (R
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.