Editorial: The 2024 William Bonfield Prize for best review paper DOI Creative Commons
M. Grant Norton

Journal of Materials Science, Год журнала: 2024, Номер unknown

Опубликована: Дек. 20, 2024

Язык: Английский

Boosting-Based Machine Learning Applications in Polymer Science: A Review DOI Open Access
Ivan Malashin, В С Тынченко, Andrei Gantimurov

и другие.

Polymers, Год журнала: 2025, Номер 17(4), С. 499 - 499

Опубликована: Фев. 14, 2025

The increasing complexity of polymer systems in both experimental and computational studies has led to an expanding interest machine learning (ML) methods aid data analysis, material design, predictive modeling. Among the various ML approaches, boosting methods, including AdaBoost, Gradient Boosting, XGBoost, CatBoost LightGBM, have emerged as powerful tools for tackling high-dimensional complex problems science. This paper provides overview applications science, highlighting their contributions areas such structure-property relationships, synthesis, performance prediction, characterization. By examining recent case on techniques this review aims highlight potential advancing characterization, optimization materials.

Язык: Английский

Процитировано

1

Advancements, functionalization techniques, and multifunctional applications in biomedical and industrial fields of electrospun pectin nanofibers: A review DOI
Haoyu Wang, Zhijian Tian, Long Wang

и другие.

International Journal of Biological Macromolecules, Год журнала: 2025, Номер unknown, С. 141964 - 141964

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

1

Design and Synthesizing of Hemoglobin-Based Multifunctional Fibers for Improved Carbon Monoxide Absorption Rates DOI Creative Commons
Anh T. Pham,

Balakrishnan Subeshan,

Eylem Asmatulu

и другие.

BioNanoScience, Год журнала: 2025, Номер 15(1)

Опубликована: Янв. 14, 2025

Язык: Английский

Процитировано

0

Exploring the impact of HAp on the surface morphology, mechanical, wettability, and biodegradation rate of PVA-collagen nanofiber bone scaffolds DOI Creative Commons

Hartatiek,

Maulia Ingganis Wuriantika,

W E S Ayu

и другие.

Materials Research Express, Год журнала: 2025, Номер 12(1), С. 015405 - 015405

Опубликована: Янв. 1, 2025

Abstract Nanofibers are considered promising materials for tissue engineering applications due to their ability promote cell adhesion and form desired environments where new can grow. Furthermore, we evaluated the impact of increasing concentration (1–6 wt%) HAp on morphology subsequent consequences regarding mechanical properties, wettability, biodegradative nature wrinkle-free PVA/collagen nanofiber scaffolds fabricated by electrospinning. FTIR SEM were used analyze functional groups surface observe morphological characteristics those particles. revealed that when was enhanced, a finer fiber with diameters in range 80–500 nm obtained. The test demonstrated better properties composites load. In addition, water contact angle decreased (a faster degradation rate), which consistent higher suitability degradation.

Язык: Английский

Процитировано

0

Development of Robust Machine Learning Models for Predicting Flexural Strengths of Fiber-Reinforced Polymeric Composites DOI Creative Commons
Abdulhammed K. Hamzat, Umar Salman, Md Shafinur Murad

и другие.

Hybrid Advances, Год журнала: 2025, Номер unknown, С. 100385 - 100385

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

An In Situ Characterisation Method for 3-D Electrospun Foams DOI Creative Commons
Kyriakos Almpanidis, Chloe Jayne Howard, Vlad Stolojan

и другие.

Nanomaterials, Год журнала: 2025, Номер 15(5), С. 339 - 339

Опубликована: Фев. 22, 2025

Three-dimensional electrospun foams are emerging in a diversity of applications. However, their characterisation involves procedures to calculate fibre diameter and porosity, which take considerable time. Hence, this paper, an situ method is presented based on signal features the grounding voltage. These combined into evaluation parameter Sr for each run r. The L9 Taguchi was utilised minimise total number experiments. Moreover, prove accuracy method, traditional post-fabrication analysis conducted, retrieved Qr shows that both parameters detected same experiment as optimal one (with adjusted R2 = 0.84) polystyrene two solution concentrations: 15%wv (run 3 with mean S3 54.49 Q3 0.248) 20%wv (mean S5 2.49 Q5 0.248), respectively. Also, statistical low standard deviations near-optimal runs, proving method's repeatability. Furthermore, theoretical explanation provided selecting Maxwellian equivalent circuit approach jet. Finally, fast can replace time-consuming one. It be used fundamental step intelligent artificial intelligence tool predicts foam formation.

Язык: Английский

Процитировано

0

Electrospun biopolymer blends of poly(lactic acid) and poly(hydroxybutyrate) reinforced with biochar derived from kitchen waste DOI Open Access
Alena Opálková Šišková,

Tomáš Dvorák,

Andrej Opálek

и другие.

European Mechanical Science, Год журнала: 2025, Номер 9(1), С. 1 - 7

Опубликована: Март 4, 2025

Biodegradable composites reinforced with natural fillers are exciting alternatives to expensive biodegradable polymers. This study aimed investigate the effect of kitchen waste–derived biochar on morphological, chemical, thermal, and mechanical properties electrospun fibrous mats from a blend polymers poly(lactic acid) poly(hydroxybutyrate). The neat PLA/PHB 5, 10, 15, 20, 30 wt.% content waste-derived were produced. techniques scanning electron microscopy, Fourier transform infrared spectrometry analysis, thermogravimetric different calorimetry tensile tests used for fundamental characterization produced mats. results indicate that adding does not significantly affect materials. may be advantageous packaging, filtration, or agriculture applications.

Язык: Английский

Процитировано

0

A supervised machine-learning analysis of doxorubicin-loaded electrospun nanofibers and their anticancer activity capabilities DOI Creative Commons
Mohammadreza Rostami, Maliheh Gharibshahian, Mehrnaz Mostafavi

и другие.

Frontiers in Bioengineering and Biotechnology, Год журнала: 2025, Номер 13

Опубликована: Март 11, 2025

Thanks to the diverse advantages of electrospun nanofibers, multiple drugs have been loaded in these nanoplatforms be delivered healthily and effectively. Doxorubicin is a drug used chemotherapy, its various delivery efficacy parameters encounter challenges, leading seeking novel methods. Researchers conducted numerous laboratory investigations on encapsulation doxorubicin within nanofiber materials. This method encompasses for production fibers loading, categorized into device-related, material-related, study design parameters. employed supervised machine-learning analysis extract influencing input from quantitative data doxorubicin-loaded nanofibers. The also determined significance coefficient each parameter that influences output results identified optimum points intervals parameter. Our Support Vector Machine (SVM) findings showed nanofibers could optimized through employing machine learning-based investigation polymer solution (such as density, solvent, electrical conductivity, concentration polymer), electrospinning voltage, flow rate, distance between needle tip collector), our parameters, i.e., release anticancer activity, which affect properties drug-loaded such average diameter fiber, percentage, efficiency. indicated importance factors like distance, concentration, respectively, optimizing fabrication smallest diameter, highest efficiency, activity are obtained at molecular weight 80 474 kDa least 3.182 wt% with density range 1.2–1.52 g/cm 3 , 6.618–9 wt%, dielectric constant solvent more than 30. Also, optimal 14–15 cm, rate 3.5–5 mL/h, voltage 20–25 kV result lowest fibers. Therefore, achieve conditions, values should considered. These open up new roads future polymeric desirable performances by learning

Язык: Английский

Процитировано

0

Electrospun nanofibers and their application as sensors for healthcare DOI Creative Commons
Yiting Zhao, Jie Huang, Xingjian Yang

и другие.

Frontiers in Bioengineering and Biotechnology, Год журнала: 2025, Номер 13

Опубликована: Март 20, 2025

Electrospinning is a type of electrohydrodynamics that utilizes high-voltage electrostatic force to stretch polymer solution into nanofibers under the influence an electric field, with most fibers falling onto collector. This technology favored by researchers across various fields due its simple and inexpensive device for producing in straightforward manner. Nanofibers prepared through electrospinning have high specific surface area porosity. shows extensive potential, especially within biomedical sensors. article provides systematic overview factors influencing electrospinning, parameters process, types electrospun nanofibers, applications field sensors, including wearable pressure glucose The paper summarizes research progress this points out direction development technology, as well future challenges.

Язык: Английский

Процитировано

0

Experimental and Numerical Characterization of Electrospun Piezoelectric Polyvinylidene Fluoride Nanocomposites Reinforced with Silver Nanoparticles DOI Open Access
Strahinja Milenković, Fatima Živić, Nenad Grujović

и другие.

Materials, Год журнала: 2025, Номер 18(7), С. 1467 - 1467

Опубликована: Март 26, 2025

This study focuses on preparing piezoelectric polyvinylidene fluoride (PVDF) nanocomposites reinforced with silver nanoparticles (AgNPs) using an electrospinning process. The aim of this is to assess AgNPs' influence the properties PVDF and, therefore, create optimal composite enhanced properties, enabling its application in various fields both as sensor and actuator. Because electrical stimuli have proven a positive tissue engineering, combined AgNPs, which antimicrobial these composites demonstrate promising opportunity for biomedical scaffolds. proposed scaffolds were characterized by scanning electron microscopy, energy-dispersive X-ray spectroscopy Fourier transform infrared spectroscopy. In addition, mechanical are studied through tensile tests, while response measured in-house built setup coupling monitoring. An experimental test was numerical simulations COMSOL Multiphysics version 6.3 software package, paper also presents short review analytical methods used modelling simulation composites.

Язык: Английский

Процитировано

0