Weisan Fang , Xiaoniu Tu , Huajie Luo , He Qi , Hua Tan , Haibo Zhang , Jun Chen
{"title":"Ultra-high temperature piezoelectric crystals: Properties, structures and applications","authors":"Weisan Fang , Xiaoniu Tu , Huajie Luo , He Qi , Hua Tan , Haibo Zhang , Jun Chen","doi":"10.1016/j.pmatsci.2025.101556","DOIUrl":"10.1016/j.pmatsci.2025.101556","url":null,"abstract":"<div><div>Piezoelectric single crystals with high melting points are crucial for ultra-high temperature sensing applications, such as structural health monitoring and non-destructive testing of special equipment. Despite significant progress in recent years, a systematic and comprehensive review of high-temperature piezoelectric crystals has yet to be conducted. In this review, we delve into the crystal growth, electrical properties, crystal structures, and practical applications, including the representative rare-earth calcium oxyborate crystals [ReCaO(BO<sub>3</sub>)<sub>3</sub>, ReCOB, Re: rare earth], langasite-type crystals (La<sub>3</sub>Ga<sub>5</sub>SiO<sub>14</sub>, LGS; La<sub>3</sub>Ta<sub>0.5</sub>Ga<sub>5.5</sub>O<sub>14</sub>, LTG, <em>etc</em>.), along with several single crystals (Ba<sub>2</sub>TiSi<sub>2</sub>O<sub>8</sub>, AlN, Ca<sub>2</sub>Al<sub>2</sub>SiO<sub>7</sub>, <em>etc.</em>). In particular, the temperature dependence of electrical resistivity, dielectric, piezoelectric, elastic, and electromechanical properties are reviewed. The piezoelectric crosstalk and the impact of crystal cuts on electrical properties are discussed. Moreover, the origin of the relationship between order–disorder structures and properties of piezoelectric single crystals, as well as the conductivity mechanism, are clarified using theoretical calculations. The behaviours of these crystals in extreme conditions sensing applications are summarized, such as surface acoustic wave (SAW) sensors, vibrational sensors, acoustic emission (AE) sensors, pressure sensors, suggesting innovative design strategies for sensors with high sensitivity and performance robustness.</div></div>","PeriodicalId":411,"journal":{"name":"Progress in Materials Science","volume":"156 ","pages":"Article 101556"},"PeriodicalIF":40.0,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144890096","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yue Li , Ye Wei , Alaukik Saxena , Markus Kühbach , Christoph Freysoldt , Baptiste Gault
{"title":"Machine learning enhanced atom probe tomography analysis","authors":"Yue Li , Ye Wei , Alaukik Saxena , Markus Kühbach , Christoph Freysoldt , Baptiste Gault","doi":"10.1016/j.pmatsci.2025.101561","DOIUrl":"10.1016/j.pmatsci.2025.101561","url":null,"abstract":"<div><div>Atom probe tomography (APT) is a burgeoning characterization technique that provides compositional mapping of materials in three-dimensions at near-atomic scale. Since its significant expansion in the past 30 years, we estimate that one million APT datasets have been collected, each containing millions to billions of individual ions. Their analysis and the extraction of microstructural information has largely relied upon individual users whose varied level of expertise causes clear and documented bias. Current practices hinder efficient data processing, and make challenging standardization and the deployment of data analysis workflows that would be compliant with the Findable, Accessible, Interoperable, and Reusable (FAIR) data principles. Over the past decade, building upon the long-standing expertise of the APT community in the development of advanced data processing or “data mining” techniques, there has been a surge of novel machine learning (ML) approaches aiming for user-independence, and that are efficient, reproducible, and robust from a statistics perspective. Here, we provide a snapshot review of this rapidly evolving field. We begin with a brief introduction to APT and the nature of the APT data. This is followed by an overview of relevant ML algorithms and a comprehensive review of their applications to APT. We also discuss how ML can enable discoveries beyond human capability, offering new insights into the mechanisms within materials. Finally, we provide guidance for future directions in this domain.</div></div>","PeriodicalId":411,"journal":{"name":"Progress in Materials Science","volume":"156 ","pages":"Article 101561"},"PeriodicalIF":40.0,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144890097","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Andleeb Mehmood , Irfan Ijaz , Waseem Raza , Muhammad Asim Mushtaq , Munir Ahmad , Dan Luo , Yanwei Sui , Kai Zong , Zhongwei Chen
{"title":"Toward flexible energy storage: MXene frameworks from synthesis principles to device applications","authors":"Andleeb Mehmood , Irfan Ijaz , Waseem Raza , Muhammad Asim Mushtaq , Munir Ahmad , Dan Luo , Yanwei Sui , Kai Zong , Zhongwei Chen","doi":"10.1016/j.pmatsci.2025.101583","DOIUrl":"10.1016/j.pmatsci.2025.101583","url":null,"abstract":"<div><div>The rapid proliferation of wearable, portable, and foldable electronics has exposed critical limitations in conventional energy storage technologies, particularly in terms of mechanical adaptability and miniaturization. Addressing these challenges necessitates the development of energy storage systems that are not only electrochemically robust but also mechanically flexible and scalable. MXenes, an emerging class of two-dimensional transition metal carbides, nitrides, and carbonitrides, have emerged as compelling candidates for flexible energy storage applications owing to their distinctive structural and physicochemical attributes (electrical conductivity, tunable surface chemistries, and intrinsic mechanical flexibility). This review critically examines recent advances in the synthesis and structural modulation of MXenes tailored for flexible energy storage systems. Emphasis is placed on their integration with complementary materials, such as carbon nanostructures (e.g., nanotubes and nanofibers), transition metal oxides (e.g., V<sub>2</sub>O<sub>3</sub>, VO<sub>2</sub>, and TiO<sub>2</sub>), and porous matrices. The discussion encompasses a broad spectrum of device chemistries, ranging from diverse flexible battery applications to supercapacitors, and highlights the mechanistic roles of MXenes in charge transport, ion diffusion, and mechanical resilience. Key challenges, including structural degradation under strain, interfacial stability, and scalable processing, are identified. Alongside strategic design principles to guide the future development of mechanically compliant and high-end Mxene based flexible energy technologies are highlighted.</div></div>","PeriodicalId":411,"journal":{"name":"Progress in Materials Science","volume":"156 ","pages":"Article 101583"},"PeriodicalIF":40.0,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145093633","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Bridging conductivity and stability: challenges and progress in organic ionic-electronic conductors for overcoming Si anodes degradation in high-energy lithium-ion batteries","authors":"Yuanyuan Yu , Jiadeng Zhu , Junhua Zhang , Mengjin Jiang","doi":"10.1016/j.pmatsci.2025.101546","DOIUrl":"10.1016/j.pmatsci.2025.101546","url":null,"abstract":"<div><div>Organic mixed ionic/electronic conductors (OMIECs) have emerged as transformative materials to address the critical challenges of silicon (Si) anodes in high-energy lithium-ion batteries (LIBs). Despite Si’s ultrahigh theoretical capacity (4200 mAh g<sup>−1</sup>), its practical application is hindered by severe volume expansion (>300 %), unstable solid electrolyte interphase (SEI), and poor intrinsic conductivity, leading to rapid capacity decay and mechanical degradation. This review systematically explores the dual roles of OMIECs as multifunctional binders and protective coatings, leveraging their unique synergy of ionic/electronic conductivity, mechanical elasticity, and interfacial adaptability. As binders, OMIECs establish robust 3D conductive networks to enhance charge transfer kinetics, accommodate volume fluctuations through dynamic covalent/noncovalent interactions, and stabilize electrode integrity via strong adhesion. As coatings, they suppress electrolyte decomposition, regulate homogeneous Li<sup>+</sup> flux to inhibit dendrite growth, and form hierarchical ion/electron transport pathways to minimize polarization. The review categorizes OMIECs into heterogeneous blends, block copolymers, and homogeneous single-component systems, elucidating their structure–property-performance relationships in Si anodes. Key challenges are critically analyzed, including the doping instability and mechanical brittleness of n-type OMIECs under reducing potentials, as well as air-sensitive doped states complicating characterization. Future research should focus on a comprehensive approach spanning molecular architecture design, aggregation state modulation, morphology design and electrolyte compatibility optimization to stabilize doping performance and enhance mechanical resilience through innovative crosslinking strategies. Additionally, the development of advanced in situ characterization techniques and computational simulation techniques will be crucial for gaining deeper insights into the dynamic behavior of OMIECs during operation. By bridging fundamental material design with practical application insights, this review highlights the transformative potential of OMIECs in advancing next-generation LIBs, offering a roadmap for overcoming Si anode limitations and achieving high-energy–density, long-cycle-life energy storage systems.</div></div>","PeriodicalId":411,"journal":{"name":"Progress in Materials Science","volume":"156 ","pages":"Article 101546"},"PeriodicalIF":40.0,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144781193","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Emily Cooper , Lingbing Ran , Ian Gentle , Ruth Knibbe
{"title":"An invisible dartboard: Commercialization targets for metal and anode-free batteries","authors":"Emily Cooper , Lingbing Ran , Ian Gentle , Ruth Knibbe","doi":"10.1016/j.pmatsci.2025.101580","DOIUrl":"10.1016/j.pmatsci.2025.101580","url":null,"abstract":"<div><div>Alkali metal batteries (MBs) and anode-free batteries (AFBs) can offer high energy density and simple construction for future electric vehicles. The short lifespan of these batteries is regularly labelled as a significant commercialization barrier, however no clear targets have been defined. In this Snapshot Review, we determine lifespan and other targets for Li- and Na-MBs and AFBs using NMC Li-ion batteries (Li-IBs) as a benchmark. AFBs require lifespans over 1400 cycles to reach Li-IB parity, but currently last only a few hundred cycles. MBs are closer to parity, though large manufacturing challenges remain. Additionally, we assess other requirements including thermal operating ranges, fast charging thresholds, and fabrication demands which must be addressed in MB and AFB research to better match electric vehicle operation. These clear targets will align our efforts to bring these next-generation technologies out of the lab and into mainstream application.</div></div>","PeriodicalId":411,"journal":{"name":"Progress in Materials Science","volume":"156 ","pages":"Article 101580"},"PeriodicalIF":40.0,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145043628","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sadaf Shabanian , Mohammad Soltani , Sudip Kumar Lahiri , Carlo Antonini , Kevin Golovin
{"title":"Non-fluorinated superomniphobic surfaces","authors":"Sadaf Shabanian , Mohammad Soltani , Sudip Kumar Lahiri , Carlo Antonini , Kevin Golovin","doi":"10.1016/j.pmatsci.2025.101581","DOIUrl":"10.1016/j.pmatsci.2025.101581","url":null,"abstract":"<div><div>Superomniphobic surfaces, capable of repelling a wide range of liquids including low-surface-tension oils, rely on a synergy between surface chemistry and texture. For decades, these surfaces have primarily relied on per- and polyfluoroalkyl substances (PFAS) due to their low surface energy and durability. However, the persistence of PFAS in the environment and their toxicological risks have triggered global regulations to phase out their use. This transition presents substantial challenges, especially in sectors such as textiles, food packaging, and electronics, where oil and chemical resistance are essential and fluorine-free alternatives remain limited. While recent research has made progress in developing PFAS-free superhydrophobic surfaces, there remains a significant gap in understanding and designing non-fluorinated superomniphobic systems. This review provides a comprehensive overview of recent strategies for achieving superomniphobicity without fluorinated chemistry. We discuss both texture- and chemistry-based approaches, including coatings made with silica nanoparticles, treated fabrics, and metal oxide nanostructures, as well as coating-free systems that leverage advanced 3D-printing to fabricate doubly and triply re-entrant geometries. Importantly, we highlight limitations in scalability, durability, and liquid-specific performance. By identifying key material and structural design considerations, this review offers a clear perspective on current challenges and emerging opportunities for creating sustainable, high-performance, PFAS-free superomniphobic surfaces.</div></div>","PeriodicalId":411,"journal":{"name":"Progress in Materials Science","volume":"156 ","pages":"Article 101581"},"PeriodicalIF":40.0,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145077862","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Recent progress in all-perovskite tandem solar cells and modules: redefining limits","authors":"Prashant Kumar , Gyanendra Shankar , Anshu Kumar , Adel Najar , Basudev Pradhan","doi":"10.1016/j.pmatsci.2025.101560","DOIUrl":"10.1016/j.pmatsci.2025.101560","url":null,"abstract":"<div><div>All-perovskite tandem solar cells (APTSCs) are garnering considerable attention as efficiencies of single-junction solar cells approach the Shockley–Queisser limit. The operation of APTSCs relies on the coordinated performance of the top and bottom cells, which together offer an optimal balance between cost-effectiveness and power output. Despite their promising architecture, the performance of APTSCs remains constrained by several intrinsic and extrinsic factors such as grain boundaries, bulk and interfacial defects, along with crystallization challenges. Nonetheless, the implementation of mitigation strategies enables effective resolution of these challenges, thereby enhancing the adaptability and performance potential of APTSCs. This review systematically examines the individual components, besides whole architectures of 2T and 4T of APTSCs, along with their recent advancements. It highlights a range of performance enhancement strategies, including the optimization of interconnecting layers, the integration of light-trapping mechanisms, and the incorporation of quasi-2D perovskites. The discussion further extends to the fabrication of large-area devices, a critical step toward commercial scalability. Finally, the review outlines current challenges and proposes future research directions aimed at improving efficiency, stability, and manufacturability. This review outlines a comprehensive roadmap integrating innovative design strategies, advanced simulation methodologies—including finite element method and density functional theory—and state-of-the-art characterization techniques to accelerate the development of next-generation, high-performance all-perovskite tandem solar cells.</div></div>","PeriodicalId":411,"journal":{"name":"Progress in Materials Science","volume":"156 ","pages":"Article 101560"},"PeriodicalIF":40.0,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144925101","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Xin Su , Bingbing Yang , Liqin Chen, Qingxi Liu, Anfeng Liu, Mei-Ling Tan, Wei Ji
{"title":"Peptide-based co-assembling materials: bridging fundamental science and versatile applications","authors":"Xin Su , Bingbing Yang , Liqin Chen, Qingxi Liu, Anfeng Liu, Mei-Ling Tan, Wei Ji","doi":"10.1016/j.pmatsci.2025.101562","DOIUrl":"10.1016/j.pmatsci.2025.101562","url":null,"abstract":"<div><div>Inspired by biomolecular assembly in natural systems, peptides have emerged as building blocks for constructing diverse structures and materials through bottom-up self-assembly approach. However, it remains a challenge to manipulate the peptide supramolecular architectures and expand their functionality for versatile applications. Notably, co-assembly strategy provides a promising solution as it enables the integration of multiple components into extended architectural space and functional diversity of peptide-based materials. Herein, a comprehensive review is proposed to summarize the design principles and recent advances of peptide-based co-assembling materials for applications in biomedicine and nanotechnology. First, the design strategies and assembly mechanism of peptide co-assembly are introduced. Next, an overview of nanostructures formed by peptide co-assembly is summarized, ranging from nanoparticles, nanotubes, nanorods, nanoribbons to hydrogels. Subsequently, the various applications of peptide co-assembling materials are provided in details, including anticancer treatment, tissue engineering, wound healing, gene delivery, catalysis, functional electronic components, and adhesive. Finally, remaining challenges and future prospects in peptide co-assembly are discussed. It is believed that this review bridges fundamental co-assembly science with extensive applications, providing new insights for rational design and development of innovative peptide-based biomaterials in the future.</div></div>","PeriodicalId":411,"journal":{"name":"Progress in Materials Science","volume":"156 ","pages":"Article 101562"},"PeriodicalIF":40.0,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144928481","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Xiaoqin Cao , Yongqing Zhang , Zhenghua Sun , Hongyao Yin , Yujun Feng
{"title":"Machine learning in polymer science: A new lens for physical and chemical exploration","authors":"Xiaoqin Cao , Yongqing Zhang , Zhenghua Sun , Hongyao Yin , Yujun Feng","doi":"10.1016/j.pmatsci.2025.101544","DOIUrl":"10.1016/j.pmatsci.2025.101544","url":null,"abstract":"<div><div>Polymers, as foundational materials in modern industry, face persistent challenges in precision design and performance improvement due to structural intricacy, multifunctionality requirements, and sustainability imperatives. Machine learning (ML) has emerged as a transformative tool for elucidating structure–property correlations and expediting polymer material discovery. This review systematically examines ML applications across three domains: autonomous synthesis via reaction kinetic modeling, cross-scale property prediction linking polymeric configurations to bulk behavior, and sustainability-driven design frameworks. For automation synthesis, ML integrates polymerization kinetics with structure control and polymerization efficiency, enabling closed-loop systems for autonomous process refinement. In performance prediction, ML deciphers hierarchical architectures relationships with thermal resilience, optoelectronic responses, and mechanical robustness, providing physicochemical theory frameworks for tailored material design. Critical analyses address persistent limitations, including data paucity in specialty polymer classes, interpretability deficits in multimodal architectures, and validation gaps between simulation and experiments. By synergizing generative algorithms with high throughput experimentation, this strategy transcends empirical trial-and-error approaches, establishing a computational design paradigm spanning molecular-to-bulk scales. The resultant synergy between computational intelligence and polymer science not only streamlines material discovery cycles but also unlocks sustainable solutions for energy storage, eco-friendly materials, and adaptive smart systems, heralding a new era of data-driven macromolecular engineering.</div></div>","PeriodicalId":411,"journal":{"name":"Progress in Materials Science","volume":"156 ","pages":"Article 101544"},"PeriodicalIF":40.0,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144719857","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Zixu Chang , Faqiang Wang , Zongqian Wang , Jianyong Yu , Bin Ding , Zhaoling Li
{"title":"Fiber-based electrochemical sweat sensors toward personalized monitoring","authors":"Zixu Chang , Faqiang Wang , Zongqian Wang , Jianyong Yu , Bin Ding , Zhaoling Li","doi":"10.1016/j.pmatsci.2025.101579","DOIUrl":"10.1016/j.pmatsci.2025.101579","url":null,"abstract":"<div><div>As skin-interfaced wearable sensors undergo rapid evolution, the real-time and non-invasive detection of health-pertinent biomarkers in human sweat has emerged as a cornerstone for gaining profound insights into our physiological status and fostering the development of tailored healthcare systems. Electrochemical sweat sensors (ECSSs) are under high pursuit for their unparalleled capabilities to enable high-performance health monitoring, movement tracking, and predictive parsing in an accurate and continuous manner. Within the realm of ECSSs fabrication, fiber materials have been served as ideal alternatives owing to their characteristic advantages. This review provides a comprehensive overview of ECSSs constructed with fiber materials for portable personalized monitoring. Initially, the recent advancements in selection of functional constructing materials, fabrication methods, and sensing mechanisms are thoughtfully demonstrated. Subsequently, hybrid multiplexed and multimodal sensors are presented, along with considerations for developing integrated electrochemical sensing systems for emerging wearable applications. Furthermore, the potential challenges and future perspectives of fiber-based ECSSs are outlined, aiming to inspire readers with insightful ideas.</div></div>","PeriodicalId":411,"journal":{"name":"Progress in Materials Science","volume":"156 ","pages":"Article 101579"},"PeriodicalIF":40.0,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145017729","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}