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        <title>Frontiers in Materials | Smart Materials section | New and Recent Articles</title>
        <link>https://www.frontiersin.org/journals/materials/sections/smart-materials</link>
        <description>RSS Feed for Smart Materials section in the Frontiers in Materials journal | New and Recent Articles</description>
        <language>en-us</language>
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        <pubDate>2026-04-13T14:19:29.671+00:00</pubDate>
        <ttl>60</ttl>
        <item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fmats.2026.1795504</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fmats.2026.1795504</link>
        <title><![CDATA[Smart responsive hydrogels for intervertebral disc regeneration]]></title>
        <pubdate>2026-03-11T00:00:00Z</pubdate>
        <category>Review</category>
        <author>Chao Jiang</author><author>Li Wang</author><author>Chenyang You</author><author>Yuan Wei</author><author>Yanjun Che</author>
        <description><![CDATA[Intervertebral disc degeneration (IVDD) is the leading cause of chronic low back pain (LBP), driven by a pathological microenvironment marked by acidic pH, increased reactive oxygen species (ROS), and elevated matrix metalloproteinase (MMP) activity, which hinder tissue regeneration. Conventional hydrogels, while replicating the hydrophilic environment of the nucleus pulposus and enabling minimally invasive delivery, fail to dynamically adapt to the evolving pathological signals during degeneration due to their static structure. Smart responsive hydrogels overcome this limitation by integrating “sensing-response-output” functionality, achieved through molecular elements such as dynamic covalent/non-covalent bonds, enzyme-substrate peptides, and external field-responsive units, or gene circuits responsive to specific pathological cues, including pH changes, ROS levels, MMP concentrations, and mechanical stress. Recent developments highlight that these materials provide timely mechanical support (e.g., in situ modulus enhancement to mitigate fibrosis) and enable microenvironment-driven sequential therapies, including targeted delivery of anti-inflammatory/pro-regenerative factors, ROS scavenging, inhibition of enzymatic activity, immune microenvironment remodeling, and precise regulation of cell fate via endogenous stem cell recruitment/differentiation and ferroptosis suppression. Advanced fabrication techniques such as microfluidics, 3D bioprinting, and in situ self-assembly further enhance biomimetic structural and functional integration. Despite promising regenerative outcomes in animal models—such as achieving NP cell survival rates reaching 85%, a 3.3-fold increase in COL2 synthesis, and 87% recovery of disc height through spatiotemporally controlled release, ROS scavenging, and immune modulation—significant challenges remain for clinical translation. These include the need for long-term biosafety validation, the stability of delivery systems under physiological conditions, and their adaptability to the complex mechanical environment of the spine. This review systematically explores the design principles, response mechanisms, fabrication innovations, therapeutic applications, and translational challenges of smart responsive hydrogels for IVDD regeneration, providing a roadmap for future development.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fmats.2025.1739262</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fmats.2025.1739262</link>
        <title><![CDATA[Nano TiO2/ARA composite modified asphalt mixture mix ratio design and road performance research]]></title>
        <pubdate>2026-02-18T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Xinhua Tao</author><author>Xiangang Zhu</author><author>Zhaoyong Teng</author><author>Yuhan Luo</author><author>Hongliu Rong</author>
        <description><![CDATA[To address prevalent asphalt pavement distresses such as rutting and water damage in hot and rainy regions, this study developed a nano-TiO2/Albanian rock asphalt (ARA) composite modified asphalt. This modification aims to enhance the high-temperature performance and water stability of asphalt pavements while reducing the consumption of petroleum asphalt. The mix design was optimized via the Response Surface Methodology (RSM), which determined the optimal modifier dosages to be 1.3% for nano-TiO2 and 16.0% for ARA. The road performance of the optimized composite mixture was evaluated and compared against single-modified and base asphalt mixtures. Results demonstrated that the nano-TiO2/ARA composite modified asphalt mixture possesses significantly superior high-temperature stability and water stability over both single-modified and base asphalt mixtures, while still complying with low-temperature performance specifications. It can be concluded that the nano-TiO2/ARA composite modified asphalt exhibits comprehensive excellent road performance and shows considerable potential in mitigating rutting and water damage in asphalt pavements in hot and rainy climates.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fmats.2025.1758696</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fmats.2025.1758696</link>
        <title><![CDATA[Study on the physical properties, anti-aging properties, and rheological characteristics of graphene oxide/rubber powder composite modified asphalt]]></title>
        <pubdate>2026-01-14T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Youtao Wang</author><author>Yongzhen Sun</author><author>Lujie Huang</author><author>Xiaofeng Wang</author><author>Chanyuan Lin</author>
        <description><![CDATA[IntroductionThe goal of this project is to enhance the construction operability, durability, aging resistance, and high-temperature performance of crumb rubber modified asphalt (CRMA) while encouraging tire recycling in order to meet environmental goals.MethodsTo this end, graphene oxide (GO) is incorporated into the CRMA system to form a GO-CRMA composite material. The modification effects of this composite will be systematically investigated, with the goal of developing a high-performance composite modified asphalt that exhibits outstanding road performance and significant environmental benefits. 70 penetration grade asphalt was selected as the base asphalt (BA); 20% (by mass of BA) crumb rubber was introduced together with GO at dosages of 0.3%, 0.6%, 0.9% and 1.2% (by mass of BA) to produce graphene-oxide/crumb-rubber composite-modified asphalt (GOR). Penetration, softening point, ductility, Brookfield rotational viscosity, and segregation experiments were employed to evaluate physical properties; laboratory simulated aging tests were implemented to evaluate anti-aging performance by analyzing retained-penetration ratio and softening-point increment; and a temperature sweep test revealed high-temperature rheological characteristics of GOR by examining rheological variables like complex modulus (G*), phase angle (δ), and rutting factor (G*/sinδ).ResultsResults show that at a GO dosage of 0.3% the GOR reaches a softening point of 66.3 °C, a ductility 6.9% higher than that of CRMA, a Brookfield viscosity 5% lower, and the minimum segregation softening-point difference; After ageing, it shows the highest level of residual penetration and the lowest softening-point increment; G* and G*/sinδ increase significantly while δ decreases, indicating the best high-temperature rheological performance.DiscussionIn summary, incorporating an appropriate amount of GO can effectively enhance the overall performance of CRMA, with 0.3% identified as the optimal dosage, demonstrating promising prospects for engineering applications.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fmats.2025.1748571</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fmats.2025.1748571</link>
        <title><![CDATA[Effects of salt-induced degradation on the moisture stability and high-temperature performance of PPA/BF/SBS composite modified asphalt mixture]]></title>
        <pubdate>2026-01-07T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Kaike Huang</author><author>Jian Wei</author><author>Xiaodan Liang</author><author>Huangfeng Nong</author><author>Yaoliang Xu</author><author>Linheng Huang</author>
        <description><![CDATA[Asphalt pavements in coastal hot and humid regions are perennially affected by salt-induced degradation, which exacerbates moisture damage and aging processes in asphalt mixtures. To enhance the resistance to salt-induced degradation, this study employed polyphosphoric acid (PPA) and chemically modified bagasse fiber (BF) for composite modification of SBS asphalt. A systematic evaluation was conducted on the fundamental characteristics of the PPA/BF/SBS composite modified asphalt and pavement performance of its mixtures. By simulating the actual service environment of coastal pavements, a vibrating salt solution immersion test was designed to investigate the evolution of pavement performance for the PPA/BF/SBS composite modified asphalt mixture under salt-induced degradation environment. Molecular dynamics simulations were further integrated to investigate the asphalt adhesion mechanism. The results indicate that after salt-induced degradation, the penetration of all asphalt samples reduced, while the softening temperature and flow resistance increased. The composite modified asphalt exhibited the smallest changes in properties, demonstrating superior resistance to salt-induced degradation. Based on the performance variations both prior to and following salt-induced degradation, the optimal content was determined as 1.0% PPA + 3% BF. The composite modified asphalt mixture maintained higher residual stability both prior to and following salt-induced degradation, indicating effectively improved moisture and high-temperature stability. Molecular dynamics simulations further revealed that the decline in adhesion energy between PPA/BF/SBS composite modified asphalt and the aggregate in salt solution was less pronounced than that of the SBS asphalt, verifying its enhanced anti-erosion mechanism. Overall, the comprehensive pavement performance of the PPA/BF/SBS composite modified asphalt surpasses that of the SBS asphalt.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fmats.2025.1707971</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fmats.2025.1707971</link>
        <title><![CDATA[Prediction of road properties of asphalt mixture subjected to three times aging-regeneration cycles based on a GA-BP neural network asphalt binder]]></title>
        <pubdate>2025-10-29T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Rong Lu</author><author>Jie Wang</author><author>Jian Xu</author>
        <description><![CDATA[Materials genome research has been rapidly evolved, aiming at the development of future pavement materials. It has been gradually applied to studying the properties of asphalt and asphalt mixtures. In this study, the prediction of the road properties of asphalt mixtures using asphalt binders subjected to multiple aging and regeneration cycles was systematically explored using various experimental tests. Additionally, various characterizations were carried out to analyse the variation law of road properties of the asphalt mixtures after three aging-regeneration cycles. Finally, a Genetic Algorithm-Back Propagation (GA-BP) neural network was adopted to establish a prediction model for the performance of asphalt mixtures based on asphalt binders subjected to multiple aging-regeneration cycles. Results showed that the penetration finally recovered to 80.7%, and the softening point ultimately reached 115% of that before aging. However, the road properties of the asphalt mixtures after the implementation of three aging-regeneration cycles presented a differentiated evolution. In terms of high-temperature performance, the dynamic stability reached 183.8% and the penetration strength rose to 150% with the increase times of regeneration. Regarding the low-temperature performance, although the flexural-tensile strength increased to 121%, the fracture energy and tensile strength gradually decreased, both remaining above 68% of those of unaged mixtures after the third regeneration. The material showed favorable water stability; specifically, its residual stability and freeze-thaw splitting strength ratio finally stabilized at over 90% and maintained this level. In terms of dynamic viscoelasticity, although three aging-regeneration cycles altered the viscoelastic balance of the mixture, the dynamic response characteristics similar to those of new mixtures were not eliminated. According to the grey correlation analysis of the performance of asphalt mixtures and asphalt, penetration, softening point, rotational viscosity, visco-toughness, and toughness, relatively high grey correlation degrees with the asphalt mixtures were shown. The established GA-BP neural network can effectively build a robust model for predicting the road properties of asphalt mixtures subjected to multiple aging-regeneration cycles, with small relative errors. Our work provides a valuable reference for systematically studying the materials genome of asphalt and asphalt mixtures.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fmats.2025.1692206</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fmats.2025.1692206</link>
        <title><![CDATA[Soft robotic grippers: a review]]></title>
        <pubdate>2025-10-27T00:00:00Z</pubdate>
        <category>Review</category>
        <author>Youyou Zhang</author><author>Jianhao Man</author><author>Xiaoang Liu</author><author>Shuai Li</author><author>Bo Cao</author><author>Liang Yu</author><author>Xiaojun Tan</author>
        <description><![CDATA[Soft grippers, with their high flexibility and environmental adaptability, have shown promising applications in industrial automation, medical assistance, and underwater operations. This study provides a detailed analysis of various actuation methods, such as fluid pressure, mechanical force, electric fields, magnetic fields, and thermal fields, discussing their principles, applications, and limitations. Additionally, the applications of materials such as hydrogels, elastic polymers, shape memory alloys, shape memory polymers, magnetic materials, and liquid metals in soft grippers are summarized, highlighting their respective advantages and disadvantages. On this basis, a comprehensive analysis and outlook on the performance of soft grippers, the challenges they currently face, and their future development directions have been conducted. This article aims to provide comprehensive theoretical insights for the design and application of soft grippers, thus advancing the field.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fmats.2025.1566490</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fmats.2025.1566490</link>
        <title><![CDATA[High-performance nanostructured SiO2 from Ethiopian pumice: synthesis and characterization]]></title>
        <pubdate>2025-04-15T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Agraw Mulat Muhammud</author><author>Gemechu Deressa Edossa</author><author>Fedlu Kedir Sabir</author>
        <description><![CDATA[The increasing demand for high-performance, cost-effective nanomaterials has driven significant interest in utilizing natural resources for advanced material production. This study presents the synthesis of nanostructured SiO2 from Ethiopian pumice through a sustainable, environmentally friendly, and cost-effective green chemistry approach. The process involved pumice purification and beneficiation, followed by alkaline leaching and wet sol–gel precipitation, achieved with low energy input and without the need for ablation or post-grinding steps. The end product’s properties were comprehensively analyzed using various techniques, including atomic absorption spectroscopy (AAS), X-ray diffraction (XRD), Fourier transform infrared spectroscopy (FTIR), thermal analysis (TGA), UV-is spectroscopy, Brunauer–Emmett–Teller (BET) analysis, dynamic light scattering (DLS), scanning electron microscopy (SEM), and energy dispersive X-ray analysis (EDAX). AAS and EDAX analyses confirmed a high purity of 98.52% and an overall yield of 69.07%, within the upper range (50%–75%) reported in the literature, indicating a well-optimized process. BET analysis showed an average pore size of 86.63 nm along with a significant specific surface area of 571.48 m2/g. FTIR identified silanol (Si–OH) and siloxane (Si–O–Si) groups, while XRD revealed an amorphous structure. TGA demonstrated enhanced thermal stability up to 900°C, and UV–Vis analysis verified optical purity. DLS analysis revealed a uniform hydrodynamic diameter distribution within the favorable 10–100 nm range, while SEM images indicated an average primary particle size of 35.83 nm. This study optimized the synthesis of high-purity zero-dimensional (0D) nanostructured SiO2 from Ethiopian pumice, achieving uniform particle size, high surface area, and enhanced stability. The resulting 0D SiO2 outperforms conventional sources in both structural and functional properties, aligning with existing literature and industry standards and positioning it as an ideal and highly effective reinforcement filler for rubber composites. Its versatile properties also support applications in catalysis, adsorption, coatings, and optoelectronics. This work highlights Ethiopian pumice as a sustainable, cost-effective source of advanced silica materials with a strong potential for import substitution in Ethiopia’s tire industry.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fmats.2025.1558190</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fmats.2025.1558190</link>
        <title><![CDATA[Predictive modeling of 3D reconstruction trajectories for potential programmable materials]]></title>
        <pubdate>2025-04-14T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Yechun Jin</author><author>Jie Li</author><author>Qi Yu</author><author>Panghua Tian</author>
        <description><![CDATA[IntroductionShape-morphing programmable materials, capable of dynamically adjusting their properties in response to external stimuli, hold significant potential in adaptive design and smart manufacturing. However, accurately predicting their 3D reconstruction trajectories remains a challenge due to the complex interactions between material behavior and environmental factors.MethodsTo address this, we propose a computational framework, the Dynamic Morphology Engine (DME), designed to enhance predictive modeling of shape-morphing programmable materials by integrating advanced control mechanisms and optimization strategies. The DME framework consists of three key components: Stimulus Mapping, Property Optimization, and Structural Adaptation, enabling efficient trajectory prediction in dynamic environments. Additionally, we introduce the Stimulus-Informed Design Paradigm (SIDP), which leverages data-driven modeling to refine the interplay between external stimuli and material responses.Results and discussionExperimental results demonstrate that our approach improves robustness, scalability, and computational efficiency, offering a promising tool for modeling shape-morphing programmable materials in applications such as soft robotics, reconfigurable structures, and intelligent materials.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fmats.2025.1554564</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fmats.2025.1554564</link>
        <title><![CDATA[Research on NiCr/NiSi thin film thermocouple sensor for measuring the surface temperature of automobile engine]]></title>
        <pubdate>2025-03-19T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Haochen Wang</author>
        <description><![CDATA[This study describes a method for preparing thermocouple sensor based on NiCr/NiSi thin films. Using magnetron sputtering technology, the sensor structure includes a substrate, a SiO2 transition layer, a NiCr/NiSi thermocouple and a SiO2 protective layer.Experiments show that the sensor has a stable thermopotential output at 80°C with a Seebeck abrcoefficient of about 40.97μV/°C. By measuring the engine surface temperature of a Subaru Outback 2.5i car, the practicability of the sensor is verified. The 2 × 2 cm ceramic-based thermocouple used for automobile engine temperature measurement is the best choice to ensure the fast and stable operation of the temperature sensor. Experimental results show that this thermocouple achieved the highest temperature measurements of 72.85°C in comparison to other substrates, demonstrating its superior thermal conductivity and stability in high-temperature environments.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fmats.2025.1533330</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fmats.2025.1533330</link>
        <title><![CDATA[Anisotropic stimuli-responsive polymeric materials: chemistry and applications]]></title>
        <pubdate>2025-03-13T00:00:00Z</pubdate>
        <category>Mini Review</category>
        <author>Yuan Zhang</author><author>Zhimin Lu</author><author>Changming Wu</author><author>Yang Xu</author>
        <description><![CDATA[Anisotropic stimuli-responsive polymeric materials (ASRPM) exhibit distinct physical and chemical properties along various orientations and can respond to external stimuli, demonstrating exceptional adaptability and functional integration capabilities. As research advances, new discoveries and applications continue to emerge, further enhancing the appeal of these materials. Despite an increase in related publications, there remains a relative scarcity of systematic summaries. In this mini-review, we summarize the research advancements in this field over the past decade, focusing on the structural properties, fabrication methods, advantages, and potential applications of ASRPM. We present a synthesized overview through illustrative charts, aiming to provide readers with a representative snapshot of the dynamic research landscape.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fmats.2025.1526892</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fmats.2025.1526892</link>
        <title><![CDATA[Smart material optimization using reinforcement learning in multi-dimensional self-assembly]]></title>
        <pubdate>2025-03-06T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Yiming Zou</author>
        <description><![CDATA[IntroductionIn recent years the design and optimization of smart materials have gained considerable attention due to their potential applications across diverse fields, from biomedical engineering to adaptive structural systems. Traditional approaches for optimizing these materials often rely on deterministic models ortrial-and-error processes, which tend to be limited by computational expense and lack of adaptability in dynamic environments. These methods generally fail to address the complexities of multi-dimensional self-assembly processes where materials need to respond autonomously to environmental stimuli in real time.MethodsTo address these limitations, this research explores the application of reinforcement learning (RL) as an advanced optimization framework to enhance the autonomous self-assembly of smart materials. We propose a novel reinforcement learning-based model that integrates adaptive control mechanisms within multi-dimensional self-assembly, allowing materials to optimize their configuration and properties according to external stimuli. In our approach, agents learn optimal assembly policies through iterative interactions with simulated environments, enabling the smart material to evolve and respond to complex and multi-factorial inputs.Results and discussionExperimental results demonstrate the model’s efficacy, revealing significant improvements in adaptability, efficiency, and material performance under varied environmental conditions. The work not only advances the theoretical understanding of self-assembly in smart materials but also paves the way for the development of autonomous, self-optimizing materials that can be deployed in real-world applications requiring dynamic adaptation and robustness.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fmats.2025.1568640</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fmats.2025.1568640</link>
        <title><![CDATA[Editorial: Biologically inspired Artificial Intelligent systems: state and perspectives]]></title>
        <pubdate>2025-02-18T00:00:00Z</pubdate>
        <category>Editorial</category>
        <author>Francesca Borghi</author><author>Stefano Vassanelli</author>
        <description></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fmats.2024.1534146</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fmats.2024.1534146</link>
        <title><![CDATA[Retraction: An acridone-derived fluorescent off-on probe for detection and in vivo imaging of nitroreductase]]></title>
        <pubdate>2024-12-02T00:00:00Z</pubdate>
        <category>Retraction</category>
        
        <description></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fmats.2024.1431992</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fmats.2024.1431992</link>
        <title><![CDATA[Research status of cutting machining NiTi shape memory alloys: a comprehensive review]]></title>
        <pubdate>2024-11-27T00:00:00Z</pubdate>
        <category>Review</category>
        <author>Junying Wei</author><author>Lei Yang</author><author>Guijie Wang</author><author>Chengming Gong</author><author>Feiyang Yang</author>
        <description><![CDATA[NiTi shape memory alloys (SMA) have garnered significant interest owing to their shape memory effect, superior corosion resistance, and biocompatibility. This paper reviewed the current research status of cutting machining for NiTi SMA, focusing on turning, milling, and drilling processes, emphasizing the influence of various cutting parameters, tool materials, and cooling methods on machining performance. The optimal turning effect under dry cutting circumstances is achieved when the cutting speed surpasses 100 m/min. The application of Minimum Quantity Lubrication (MQL) in milling, alongside the use of cold air and the optimization of parameters such as feed rate and cutting depth, could diminish cutting force and temperature, thus reducing burr formation. Cemented carbide and high-speed steel covered with TiN are the ideal materials for drilling tools, and the use of substantial cutting fluid yields superior cutting performance compared to MQL. This review concludes that, despite advancements in the study of machining NiTi shape memory alloys, further research is necessary to enhance the efficiency and quality of NiTi SMA machining, particularly with tool material selection and cooling techniques. Finally, based on the current research results, this paper proposes possible future research directions, which provides valuable theoretical guidance for the processing research of NiTi SMA.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fmats.2024.1431179</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fmats.2024.1431179</link>
        <title><![CDATA[Applications of artificial intelligence and machine learning in image processing]]></title>
        <pubdate>2024-10-14T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Pingyuan Xu</author><author>Jinyuan Wang</author><author>Yu Jiang</author><author>Xiangbing Gong</author>
        <description><![CDATA[IntroductionWith the rapid development of artificial intelligence and machine learning technology, image processing technology based on artificial intelligence and machine learning has been applied in various fields, which effectively solves the multi-classification problem of similar targets in traditional image processing technology.MethodsThis paper summarizes the various algorithms of artificial intelligence and machine learning in image processing, the development process of neural network model, the principle of model and the advantages and disadvantages of different algorithms, and introduces the specific application of image processing technology based on these algorithms in different scientific research fields.Results And DiscussionThe application of artificial intelligence and machine learning in image processing is summarized and prospected, in order to provide some reference for researchers who used artificial intelligence and machine learning for image processing in different fields.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fmats.2024.1435540</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fmats.2024.1435540</link>
        <title><![CDATA[Corrigendum: Recent progress in piezoelectric thin films as self-powered devices: material and application]]></title>
        <pubdate>2024-07-19T00:00:00Z</pubdate>
        <category>Correction</category>
        <author>Zhiqiang Song</author><author>Rongxi Hou</author><author>Feng Jiang</author>
        <description></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fmats.2024.1385792</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fmats.2024.1385792</link>
        <title><![CDATA[Conduction mechanisms in a planar nanocomposite resistive switching device based on cluster-assembled Au/ZrOx films]]></title>
        <pubdate>2024-06-07T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Davide Cipollini</author><author>Filippo Profumo</author><author>Lambert Schomaker</author><author>Paolo Milani</author><author>Francesca Borghi</author>
        <description><![CDATA[Nanostructured zirconia and gold films (ns-Au/ZrOx) have been demonstrated as devices characterized by non-linear and hysteretic electrical behavior, with short-term memory and potentiation/depression activity. Here we investigate the conduction mechanisms regulating the non-linear behavior of the nanostructured bilayer Au/ZrOx films. In particular, we investigated the hysteretic I-V curves following the Chua’s approach to memristive systems and separately modelling ion migration and electron transport in the films. The conduction mechanisms exhibited by the bilayered nanostructured system are strongly influenced by the nanogranular morphology that dynamically changes because of electrical stimuli; structural rearrangements are particularly promoted by intense local electric fields and high mobility along bottlenecks and edges in the microstructure. Electron transport is accounted for the Schottky barrier at the electrode interfaces and Poole-Frenkel effect in the bulk nanogranular material, according to a dynamic reorganization of the cluster-assembled network. A model for Poole-Frenkel effect is here discussed to include saturation of the Coulombic traps in the high applied field regime; the proposed model has been validated with experimental voltage ramps with varying sweep-velocity and at different temperatures (from 300 to 200 K), as also by a power exponent parameter analysis.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fmats.2024.1408284</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fmats.2024.1408284</link>
        <title><![CDATA[Editorial: Advanced materials and technique for structural monitoring, analysis, and control]]></title>
        <pubdate>2024-06-04T00:00:00Z</pubdate>
        <category>Editorial</category>
        <author>Chun-Xu Qu</author><author>Liang Ren</author><author>Yunlai Zhou</author><author>Qian Feng</author><author>Sadegh Shams</author>
        <description></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fmats.2024.1400258</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fmats.2024.1400258</link>
        <title><![CDATA[Biodegradable flexible triboelectric nanogenerator for winter sports monitoring]]></title>
        <pubdate>2024-05-21T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Bocong Liu</author><author>Zhenning Xie</author><author>Qingyang Feng</author><author>Yunlu Wang</author><author>Mengqi Zhang</author><author>Zhuo Lu</author><author>Yupeng Mao</author><author>Shouwei Zhang</author>
        <description><![CDATA[With the energy crisis and environmental pollution becoming a growing concern worldwide, the development of clean and renewable energy from the environment has become an imperative for human survival and development. However, the equipment used to harvest clean renewable energy is large, subject to environmental impacts and regional differences (such as wind, solar and tidal energy). In this study, a biodegradable eggshell membrane triboelectric nanogenerator (EM-TENG) is introduced for the purpose of harvesting low-frequency mechanical energy. A Wireless Intelligent Motion Monitoring System (WIMMS) has been created using EM-TENG. It includes a Bluetooth sensor terminal and an intelligent processing terminal for digital signal reception on a host computer. The EM-TENG can be attached to knee and ankle joints to monitor posture. Therefore, for real-time monitoring of joint and kinetic chain changes during land training of ice dance athletes, the intelligent ice dance land training aid system is important. As a wearable motion monitoring sensor, EM-TENGs application in intelligent motion monitoring, intelligent wearable devices and big data analytics is being promoted.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fmats.2024.1373040</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fmats.2024.1373040</link>
        <title><![CDATA[Recent progress in piezoelectric thin films as self-powered devices: material and application]]></title>
        <pubdate>2024-04-25T00:00:00Z</pubdate>
        <category>Review</category>
        <author>Zhiqiang Song</author><author>Rongxi Hou</author><author>Feng Jiang</author>
        <description><![CDATA[Piezoelectric materials have become a key component in sensors and actuators in many industrial fields, such as energy harvesting devices, self-powered structures, biomedical devices, nondestructive testing, owing to the novel properties including high piezoelectric coefficient and electromechanical coupling factors. Piezoelectric thin films integrated on silicon substrates are widely investigated for their high performance and low manufacturing costs to meet the requirement of sensor networks in internet of things (IoT). The aim of this work is to clarify the application and design structure of various piezoelectric thin films types, synthesis methods, and device processes. Based on latest literature, the process of fabricating thin film sensors is outlined, followed by a concise overview of techniques used in microelectromechanical systems (MEMS) processing that can integrate more complex functions to obtain relevant information in surrounding environment. Additionally, by addressing piezoelectric thin films sensors as a cutting-edge technology with the ability to produce self-powered electronic devices, this work delivers incisive conclusions on all aspects of piezoelectric sensor related features. A greater understanding of piezoelectricity is necessary regarding the future development and industry challenges.]]></description>
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