Purna Prasad Dhakal , Duy Thanh Tran , Deepanshu Malhotra , Phan Khanh Linh Tran , Ganesh Bhandari , Nam Hoon Kim , Joong Hee Lee
{"title":"Recent advances in potential high entropy materials for electrocatalysis applications","authors":"Purna Prasad Dhakal , Duy Thanh Tran , Deepanshu Malhotra , Phan Khanh Linh Tran , Ganesh Bhandari , Nam Hoon Kim , Joong Hee Lee","doi":"10.1016/j.mser.2025.101091","DOIUrl":"10.1016/j.mser.2025.101091","url":null,"abstract":"<div><div>High-entropy materials (HEMs) constitute a new class of materials composed of five or more elements in a cohesive single-phase lattice structure, providing a vast compositional design space that endows them with distinctive physiochemical properties and exceptional catalytic activities. Significant attention has recently been directed towards the development of new high-efficiency HEM systems through simultaneous theoretical and experimental approaches. However, to date, no comprehensive review has fully assessed the advances in HEMs across various emerging energy storage and conversion applications; thus, a thorough review focusing on HEM-based electrocatalysts would be extremely useful to researchers. This review highlights recent developments in innovative synthetic strategies for designing HEM-based catalysts. The correlation between structure and physiochemical properties is well-established through diverse experiments and theoretical studies. We also explore the potential of HEMs for future applications in energy conversion and storage. Additionally, the prospects, opportunities, and challenges in the discovery, design, and use of HEMs will be discussed across different catalytic domains. Our critical review aims to provide invaluable insights and foundational knowledge on HEMs development to the research community, thereby promoting their application in future electrocatalysis in both academic and industrial settings.</div></div>","PeriodicalId":386,"journal":{"name":"Materials Science and Engineering: R: Reports","volume":"167 ","pages":"Article 101091"},"PeriodicalIF":31.6,"publicationDate":"2025-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144903638","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}
Yongkai Zhang , Zhenhao Luo , Pushpendra Kumar , Songtong Zhang , Yuhong Jin , Qianqian Zhang , Xiayu Zhu , Wenjie Meng , Hai Ming , Jingyi Qiu
{"title":"Lithium-based lifeforms: Influence analysis of instantaneous and hysteresis performances in lithium-ion batteries","authors":"Yongkai Zhang , Zhenhao Luo , Pushpendra Kumar , Songtong Zhang , Yuhong Jin , Qianqian Zhang , Xiayu Zhu , Wenjie Meng , Hai Ming , Jingyi Qiu","doi":"10.1016/j.mser.2025.101096","DOIUrl":"10.1016/j.mser.2025.101096","url":null,"abstract":"<div><div>Lithium-ion batteries (LIBs) mainly function via the processes of lithium-ion diffusion and electron transport, which can be metaphorically compared to biological functions. Just like living lifeform organisms that need particular conditions to keep homeostasis, any departure from optimal operating parameters in LIBs may result in performance degradation, safety and reliability compromise, and ultimately may lead to battery failure or even to thermal runaway. To ensure reliable operation, a thorough understanding and influence analysis of the instantaneous and hysteresis performance for LIBs under the extreme environments or operating conditions, such as mechanical extrusion, vibration, high- and low- temperatures, supergravity and microgravity, and low atmospheric pressure, is essential, which enables accurate assessment of their ability to meet energy and power demands over their whole service life. Additionally, a series of critical challenges associated with overcharge, overdischarge, and high-current (pulse) cycling can also exert an adverse impact on the LIBs, especially when these factors act either individually or in combination. Herein, this review firstly presents the concept of lithium-based lifeforms, in conjunction with the groundbreaking proposal of instantaneous and hysteresis performances to comprehensively evaluate the whole life of LIBs, which is expected to guide the design of advanced LIBs with high performance and substantially enhance the accuracy of predictive and early-warning models for batteries and modules.</div></div>","PeriodicalId":386,"journal":{"name":"Materials Science and Engineering: R: Reports","volume":"167 ","pages":"Article 101096"},"PeriodicalIF":31.6,"publicationDate":"2025-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144896613","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}
Shao-Xiang Go , Qishen Wang , Yu Jiang , Yishu Zhang , Desmond K. Loke
{"title":"Multifunctional nanomaterials, systems, and algorithms for neuromorphic computing applications: Autonomous systems and wearable robotics","authors":"Shao-Xiang Go , Qishen Wang , Yu Jiang , Yishu Zhang , Desmond K. Loke","doi":"10.1016/j.mser.2025.101095","DOIUrl":"10.1016/j.mser.2025.101095","url":null,"abstract":"<div><div>Memristive devices are the preferred choice for neuromorphic computer architectures, with low-dimensional materials exhibiting unique functionality resembling biological neurons. The ability to adjust these properties presents significant opportunities for artificial neural networks. This review offers a critical investigation of emerging multi-functional (MF) neuromorphic devices enabled by zero-dimensional, one-dimensional, and two-dimensional materials, van der Waals heterojunctions, and their mechanisms. It highlights the multiple unique bio-inspired device responses that arises from quantum confinement, interfaces, and low-dimensional topology. The advancements, obstacles, and potential solutions for effective neuromorphic computing using low-dimensional MF neuromorphic systems are surveyed. This overview highlights the appealing attributes of neuromorphic computing for future computations and explores the potential for advancing neuromorphic algorithms based on low-dimensional MF systems. The development of low-dimensional MF neural networks for autonomous system applications is outlined. This review article investigates the integration of physical, physiological, and environmental data through low-dimensional MF neural networks, which is essential for wearable robotic applications. It also provides a prospective analysis of the opportunities and challenges associated with low-dimensional MF neuromorphic materials compared to conventional bulk electronic technologies.</div></div>","PeriodicalId":386,"journal":{"name":"Materials Science and Engineering: R: Reports","volume":"167 ","pages":"Article 101095"},"PeriodicalIF":31.6,"publicationDate":"2025-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144896633","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}
Farzad Seidi , Ahmad Arabi Shamsabadi , Mostafa Dadashi Firouzjaei , Mark Elliott , Anupma Thakur , Yang Huang , Yuqian Liu , Huining Xiao , Babak Anasori
{"title":"Emerging MXene and covalent-organic framework hybrids: Design strategies for energy, sensing, and environmental applications","authors":"Farzad Seidi , Ahmad Arabi Shamsabadi , Mostafa Dadashi Firouzjaei , Mark Elliott , Anupma Thakur , Yang Huang , Yuqian Liu , Huining Xiao , Babak Anasori","doi":"10.1016/j.mser.2025.101087","DOIUrl":"10.1016/j.mser.2025.101087","url":null,"abstract":"<div><div>The demand for developing advanced hybrid materials with improved functions and performance is rising due to the current challenges in the environmental and energy fields. Hybridization of nanomaterials can address the shortcomings of individual components and afford composite nanomaterials with improved performance through synergistic effects. MXenes are among the growing families of inorganic two-dimensional (2D) materials with unique properties such as high electrical conductivity, hydrophilicity, easy processability, and excellent photothermal and electrochemical characteristics. Some limitations of MXenes, including poor chemical stability in oxidative conditions and low porosity due to restacking the 2D flakes, could hinder their potential in environmental applications. On the other hand, covalent organic frameworks (COFs) are highly porous organic networks but with primary shortcomings of low electrical conductivity and poor processability. Combining the metallic conductivity and excellent photothermal and electrochemical properties of MXenes with the high porosity of COFs enables the formation of COF@MXene nanomaterials with improved properties. Here, we provide a comprehensive review of the strategies utilized for designing and fabricating COF@MXene heterostructures through chemical and physical hybridization. The synergistic effects of hybridization are discussed for diverse applications, including catalysis, energy storage materials, sensors, water purification, and anti-corrosion coatings. Finally, the future outlook of the COF@MXenes, their challenges and possible solutions for these challenges are discussed.</div></div>","PeriodicalId":386,"journal":{"name":"Materials Science and Engineering: R: Reports","volume":"167 ","pages":"Article 101087"},"PeriodicalIF":31.6,"publicationDate":"2025-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144896612","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":"Ultra- and high-performance polymers for material extrusion additive manufacturing: Recent advancements, challenges, and optimization perspectives","authors":"Nectarios Vidakis , Markos Petousis , Maria Spyridaki , Nikolaos Mountakis , Evgenia Dimitriou , Nikolaos Michailidis","doi":"10.1016/j.mser.2025.101086","DOIUrl":"10.1016/j.mser.2025.101086","url":null,"abstract":"<div><div>Material extrusion-based additive manufacturing (MEXAM) has emerged as a transformative technology for ultra-performance polymers (UPPs) and high-performance polymers (HPPs), enabling their use in demanding applications across diverse industries such as aerospace, automotive, medical, and defense. Their high strength-to-weight ratio, heat resistance, chemical stability, and performance retention under harsh conditions perfectly match the high potential of additive manufacturing for cost-effectiveness, flexibility, and adaptability. Among the most studied UPPs/HPPs, Polyimide (PΙ), polyetherketoneketone (PEKK), and polyetheretherketone (PEEK) have gained substantial attention due to their printability and superior functional properties. Despite these advantages, MEXAM of UPPs and HPPs presents considerable challenges. This review provides a comprehensive analysis of the molecular, rheological, thermal, and structural characteristics of UPPs/HPPs and their major composites that influence their printability and performance. A comparative evaluation of their advantages and limitations is presented, along with a discussion on recent advancements in process optimization. Research efforts for the optimization of MEXAM process control parameters were reviewed and interpreted. Furthermore, this work explores the integration of Artificial Intelligence (AI)-assisted optimization strategies to enhance processing efficiency and material properties. This study identifies key research gaps and highlights opportunities for future advancements in the field of MEXAM for UPPs and HPPs.</div></div>","PeriodicalId":386,"journal":{"name":"Materials Science and Engineering: R: Reports","volume":"167 ","pages":"Article 101086"},"PeriodicalIF":31.6,"publicationDate":"2025-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144886171","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":"Advances in multi-atom catalysts for electrocatalytic applications","authors":"Luoluo Qi, Jingqi Guan","doi":"10.1016/j.mser.2025.101090","DOIUrl":"10.1016/j.mser.2025.101090","url":null,"abstract":"<div><div>Multi-atom catalysts (MACs) can break the limitation of single-atom catalysts (SACs) by introducing metal clusters, presenting a more diversified way in the composition, structure and performance of multi-atom sites, and utilizing the synergistic effect of multi atoms and metal-support interactions to jointly regulate the electronic structure of active sites, which endow them with advantageous electrocatalytic performance and unique reaction mechanism and expand new opportunities for the electrocatalytic field. Here, we summarize synthesis strategies, <em>in situ</em> structural characterization and the features reflecting structure-activity relationships of MACs with respect to composition and configuration, electron distribution as well as multiple functional effects. Then, the design principles of high-performance MACs are accentuated, involving multi-atom sites, coordination environments, interfacial defects, reaction media, and special thoughts including bio-inspired design and computing-learning-prediction. Subsequently, the applications in energy storage and conversion technologies are provided. Lastly, we conclude with some personal thoughts and perspectives on the growth and development of MACs in their nascent state.</div></div>","PeriodicalId":386,"journal":{"name":"Materials Science and Engineering: R: Reports","volume":"166 ","pages":"Article 101090"},"PeriodicalIF":31.6,"publicationDate":"2025-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144864587","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":"Metal additive manufacturing of lattice-based orthopedic implants: A comprehensive review of requirements and design strategies","authors":"Melika Babaei , Simone Murchio , Lorena Emanuelli , Raffaele De Biasi , Luigi Branca Vergano , Roberto Giuliani , Shuya Tian , Marie-Luise Wille , Filippo Berto , Massimo Pellizzari , Matteo Benedetti","doi":"10.1016/j.mser.2025.101075","DOIUrl":"10.1016/j.mser.2025.101075","url":null,"abstract":"<div><div>This scoping review synthesizes recent advancements in the design and manufacturing of metallic additively manufactured lattice-based orthopedic implants. The review begins with an in-depth discussion on material selection, exploring the range of metals suitable for orthopedic applications, and progresses to detail the evolution of design methodologies, which now incorporate bio-inspired concepts and data-driven models such as inverse design. These innovative approaches significantly enhance the customization and functionality of bone implants, offering unprecedented opportunities for tailored patient care.</div><div>Additionally, the review analyzes the current standards and regulations that govern the development and implementation of these implants in clinical settings. It outlines the necessary steps and considerations for compliance, emphasizing the importance of these frameworks in ensuring the safe and effective transition of lattice-based orthopedic implants from theoretical models to practical solutions in healthcare.</div><div>By bridging the gap between cutting-edge research and clinical application, this review aims to serve as a crucial resource for researchers, engineers, and medical professionals. It not only encapsulates the state-of-the-art in implant technology but also highlights the collaborative efforts required to advance the field and overcome existing challenges. The ultimate goal is to pave the way for next-generation bone implants that are highly effective, safe, and optimized for individual patient needs.</div></div>","PeriodicalId":386,"journal":{"name":"Materials Science and Engineering: R: Reports","volume":"166 ","pages":"Article 101075"},"PeriodicalIF":31.6,"publicationDate":"2025-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144878378","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}
Yuan Yan , Yimu Yang , Yinchang Ma , Kadin Reed , Shengzhi Li , Shichao Pei , Zhenwen Liang , Xixiang Zhang , Yi Wan , Xiangliang Zhang , Rongyu Lin
{"title":"Machine learning for 2D material–based devices","authors":"Yuan Yan , Yimu Yang , Yinchang Ma , Kadin Reed , Shengzhi Li , Shichao Pei , Zhenwen Liang , Xixiang Zhang , Yi Wan , Xiangliang Zhang , Rongyu Lin","doi":"10.1016/j.mser.2025.101085","DOIUrl":"10.1016/j.mser.2025.101085","url":null,"abstract":"<div><div>Two-dimensional (2D) materials have emerged as a cornerstone for next-generation electronics, offering unprecedented opportunities for device miniaturization, energy-efficient computing, and novel functional applications. Their atomic-scale thickness, coupled with exceptional electrical, mechanical, and optical properties, makes them highly promising for applications ranging from ultra-scaled transistors to neuromorphic and quantum devices. However, optimizing these materials for device fabrication remains a complex and resource-intensive challenge due to the vast parameter space involved in their synthesis, processing, and integration. Machine learning (ML), a pivotal aspect of artificial intelligence (AI), has emerged as a powerful tool to accelerate the development of 2D material–based electronics by extracting insights from large experimental datasets and automating decision-making in high-throughput experimentation. This review highlights the critical role of ML in advancing 2D material research, focusing on growth optimization through material selection and morphology control, characterization for quality assessment, and device design through fabrication parameter optimization and performance prediction. This work aims to provide a comprehensive overview of the synergistic relationship between ML and 2D materials, outlining current advancements, challenges, and future prospects in AI-assisted material and device engineering.</div></div>","PeriodicalId":386,"journal":{"name":"Materials Science and Engineering: R: Reports","volume":"166 ","pages":"Article 101085"},"PeriodicalIF":31.6,"publicationDate":"2025-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144864586","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}
Anamika Sen , Junoh Shim , Michael Ross Spinazze , Zerui Liu , Yukun Jin , Minsung Jeon , Youngki Yoon , Lin Jiang , Sunkook Kim
{"title":"1D and 2D nanostructures of transition metal dichalcogenides: Toward functional devices and sustainable technologies","authors":"Anamika Sen , Junoh Shim , Michael Ross Spinazze , Zerui Liu , Yukun Jin , Minsung Jeon , Youngki Yoon , Lin Jiang , Sunkook Kim","doi":"10.1016/j.mser.2025.101083","DOIUrl":"10.1016/j.mser.2025.101083","url":null,"abstract":"<div><div>Transition metal dichalcogenides (TMDs) have gained considerable attention attributable to their intricate multidimensional structures and the structure-dependent unique electronic, mechanical, electrocatalytic, and optical properties, making them potential candidates for various applications. Incorporating nanostructures introduces new properties to TMDs compared to their pristine counterparts, significantly enhancing their performance across various electronic platforms. This review explores the sophisticated one-dimensional (1D) and two-dimensional (2D) nanostructures of semiconductor TMDs, including nanotubes, periodic arrays of nanorods, nanopores, and nanosheets. Additionally, we have summarized the unique physical and chemical properties modified by nanostructures, which mainly depend on low dimensional scale and size. Special attention is dedicated to exploring advanced nanofabrication techniques, covering both top-down and bottom-up methodologies. The focus extends to elucidate the contributions of low-dimensional TMDs to various applications, including electronics, sensing, catalysis and other pertinent fields, with an emphasis on their enhanced performance. Finally, we provide an overview of the current challenges and future directions of research, addressing issues related to the practical applications of nanostructured semiconductor TMDs.</div></div>","PeriodicalId":386,"journal":{"name":"Materials Science and Engineering: R: Reports","volume":"166 ","pages":"Article 101083"},"PeriodicalIF":31.6,"publicationDate":"2025-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144878379","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}
Siyi Luo , Huimin Lu , Zhen Xu , Fei Zhong , Jian Song , Lidong Chen , Hui Li
{"title":"Energy-offset and dopant-location driven molecular doping of polar polyselenophene with high electrical conductivity toward flexible piezoresistive sensor","authors":"Siyi Luo , Huimin Lu , Zhen Xu , Fei Zhong , Jian Song , Lidong Chen , Hui Li","doi":"10.1016/j.mser.2025.101081","DOIUrl":"10.1016/j.mser.2025.101081","url":null,"abstract":"<div><div>Molecular doping is an effective approach to modulate the electrical properties of polymer semiconductors. However, doping efficiency is often limited by incomplete charge transfer between polymers and dopants. Herein, we designed three polymers, Pg<sub>3</sub>2T-Se, Pg<sub>3</sub>2T-T, P2T-Se, with tailored highest occupied molecular orbital (HOMO) levels by combining selenophene/thiophene backbone and alkyl/oligoethylene glycol side chains. It is found that the degree of charge transfer is strongly dependent on the energy offset between polymer and dopant (F4TCNQ). Pg<sub>3</sub>2T-Se with a shallowest HOMO level shows completely integer charge transfers (ICT) state, even dopant dianions (double doping) is detected at a low dopant concentration, while both ICT state and charge transfer complex (CTC) state are observed in doped P2T-Se with a deepest HOMO level. A remarkably electrical conductivity of Pg<sub>3</sub>2T-Se up to 1135.9 S cm<sup>−1</sup> is obtained via single-solution doping, which is attributed to its high carrier concentration. The microstructure evolution of polymer packing upon doping further indicate that the dopants insert into the side chain will facilitate the generation of ICT states. Our results demonstrate that a large energy offset, together with dopant located in the side chains (away from the backbone), promotes high doping level, thereby achieving high conductivity. Moreover, high-conductivity polymer film is attractive for sensor due to a low power consumption and an enhanced sensitivity. F4TCNQ-doped Pg<sub>3</sub>2T-Se acts as active layer in flexible piezoresistive sensor and shows high sensitivity and cyclic stability, demonstrating its promising potential in wearable devices.</div></div>","PeriodicalId":386,"journal":{"name":"Materials Science and Engineering: R: Reports","volume":"166 ","pages":"Article 101081"},"PeriodicalIF":31.6,"publicationDate":"2025-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144829970","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}