Infomat最新文献

{"title":"Back cover image","authors":"Jiabing Liu,&nbsp;Xinyu Zhang,&nbsp;Hongyang Li,&nbsp;Shufeng Jia,&nbsp;Jianhui Li,&nbsp;Qiang Li,&nbsp;Yongguang Zhang,&nbsp;Gaoran Li","doi":"10.1002/inf2.70027","DOIUrl":"https://doi.org/10.1002/inf2.70027","url":null,"abstract":"<p>The integration of Co single atoms and nanoclusters facilitates synergistic pincer trapping and catalysis of polysulfides, driving high-performance Li-S batteries.\u0000\u0000 <figure>\u0000 <div><picture>\u0000 <source></source></picture><p></p>\u0000 </div>\u0000 </figure></p>","PeriodicalId":48538,"journal":{"name":"Infomat","volume":"7 4","pages":""},"PeriodicalIF":22.7,"publicationDate":"2025-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/inf2.70027","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143826775","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Inside Front Cover Image","authors":"Yeonghun Yun,&nbsp;Devthade Vidyasagar,&nbsp;Sunwoo Kim,&nbsp;Sung Woong Yang,&nbsp;Doyun Im,&nbsp;Rajendra Kumar Gunasekaran,&nbsp;Sangheon Lee,&nbsp;Jina Jung,&nbsp;Won Chang Choi,&nbsp;Roy Byung Kyu Chung,&nbsp;Dong Hoe Kim,&nbsp;Ji-Sang Park,&nbsp;Sangwook Lee","doi":"10.1002/inf2.70026","DOIUrl":"https://doi.org/10.1002/inf2.70026","url":null,"abstract":"<p>All-perovskite tandem solar cell: a cutting-edge technology designed for efficient and sustainable terrestrial and space energy generation.\u0000\u0000 <figure>\u0000 <div><picture>\u0000 <source></source></picture><p></p>\u0000 </div>\u0000 </figure></p>","PeriodicalId":48538,"journal":{"name":"Infomat","volume":"7 4","pages":""},"PeriodicalIF":22.7,"publicationDate":"2025-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/inf2.70026","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143826774","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Back cover image","authors":"Liuping Liu,&nbsp;Sheng Ni,&nbsp;Fengyi Zhu,&nbsp;Yuling Zhu,&nbsp;Changlong Liu,&nbsp;Xutao Zhang,&nbsp;He Zhu,&nbsp;Jiazhen Zhang,&nbsp;Donghai Zhang,&nbsp;Changyi Pan,&nbsp;Li Han,&nbsp;Weiwei Tang,&nbsp;Guanhai Li,&nbsp;Haibo Shu,&nbsp;Xiaoshuang Chen","doi":"10.1002/inf2.70021","DOIUrl":"https://doi.org/10.1002/inf2.70021","url":null,"abstract":"<p>Prof. Xiaoshuang Chen et al. propose an asymmetric vertical heterojunction with a co-aligned built-in electric field, achieving high-sensitivity multicolor uncooled photoresponse.\u0000\u0000 <figure>\u0000 <div><picture>\u0000 <source></source></picture><p></p>\u0000 </div>\u0000 </figure></p>","PeriodicalId":48538,"journal":{"name":"Infomat","volume":"7 3","pages":""},"PeriodicalIF":22.7,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/inf2.70021","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143690166","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"RuO2 sub-nanocluster decorated Co3O4 as efficient and pH-universal oxygen evolution electrocatalyst","authors":"Ziye Li,&nbsp;Yangfan Liu,&nbsp;Jiandong Hu,&nbsp;Wenhui Luo,&nbsp;Yang Wang,&nbsp;Zhao Xin,&nbsp;Yanlin Jia,&nbsp;Yong Pang,&nbsp;Hong Zhang,&nbsp;Zhi Liang Zhao,&nbsp;Yejun Li,&nbsp;Qi Wang","doi":"10.1002/inf2.70003","DOIUrl":"https://doi.org/10.1002/inf2.70003","url":null,"abstract":"<p>Developing cost-effective and highly efficient oxygen evolution reaction (OER) electrocatalysts that operate in both acidic and alkaline media is crucial for industrial electrocatalytic water splitting. However, achieving high performance under dual pH conditions remains a significant challenge. Herein, we report the synthesis of multi-sized RuO₂ sub-nanoclusters on Co₃O₄ nanoarrays via a facile method, which demonstrates exceptional OER activity in both acidic and alkaline environments. The optimized catalyst exhibits remarkably low overpotentials of 165 mV in 0.5 M H₂SO₄ and 223 mV in 1 M KOH at a current density of 10 mA cm⁻², respectively. Additionally, it exhibits outstanding stability, maintaining performance over a 10-h continuous operation, which is attributed to the robust structural stability of the dispersed RuO₂ sub-nanocluster morphology. Atomic-scale investigations reveal a layer-by-layer growth mechanism of Ru on the Co₃O₄ substrate, transitioning from single atoms to monolayer clusters and ultimately to sub-nanoclusters as Ru loading increases. This growth mechanism provides a rational strategy for the precise design and synthesis of advanced cluster-based catalysts. Density functional theory (DFT) calculations further elucidate the strong oxide-support interactions between RuO₂ clusters and the Co₃O₄ matrix, facilitating electron transfer from RuO₂ to Co₃O₄ and generating an electron-deficient region. This electronic modulation enhances –OH adsorption and accelerates OER kinetics. These findings underscore the potential of metal sub-nanoclusters for designing highly efficient and durable electrocatalysts for water electrolysis.</p><p>\u0000 <figure>\u0000 <div><picture>\u0000 <source></source></picture><p></p>\u0000 </div>\u0000 </figure></p>","PeriodicalId":48538,"journal":{"name":"Infomat","volume":"7 5","pages":""},"PeriodicalIF":22.7,"publicationDate":"2025-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/inf2.70003","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144100696","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Easy-to-morph printable conductive Marangoni-driven 3D microdome geometries for fingertip-curved e-skin array with an ultragentle linear touch","authors":"Seung Hwan Jeon,&nbsp;Hyeongho Min,&nbsp;Gui Won Hwang,&nbsp;Jihun Son,&nbsp;Han Joo Kim,&nbsp;Da Wan Kim,&nbsp;Yeon Soo Lee,&nbsp;Chang Hyun Park,&nbsp;Cheonyang Lee,&nbsp;Hyoung-Min Choi,&nbsp;Jinseok Jang,&nbsp;Bo-Gyu Bok,&nbsp;Tae-Heon Yang,&nbsp;Min-Seok Kim,&nbsp;Changhyun Pang","doi":"10.1002/inf2.70001","DOIUrl":"https://doi.org/10.1002/inf2.70001","url":null,"abstract":"<p>Continuously printable electronics have the significant advantage of being efficient for fabricating conductive polymer composites; however, the precise tailoring of the 3D hierarchical morphology of conductive nanocomposites in a simple dripping step remains challenging. Here, we introduce a one-step direct printing technique to construct diverse microdome morphologies influenced by the interfacial Marangoni effect and nanoparticle interactions. Using a jet dispenser for continuous processing, we effectively fabricated a soft epidermis-like e-skin containing 64 densely arrayed pressure sensing pixels with a hierarchical dome array for enhanced linearity and ultrasensitivity. The e-skin has 36 temperature-sensing pixels in the outer layer, with a shield-shaped dome that is insensitive to pressure stimuli. Our prosthetic finger inserted with the printed sensor arrays was capable of ultragentle detection and manipulation, such as stably holding a fragile biscuit, using a soft dropper to elaborately produce water droplets and harvesting soft fruits; these activities are challenging for existing high-sensitivity tactile sensors.</p><p>\u0000 <figure>\u0000 <div><picture>\u0000 <source></source></picture><p></p>\u0000 </div>\u0000 </figure></p>","PeriodicalId":48538,"journal":{"name":"Infomat","volume":"7 5","pages":""},"PeriodicalIF":22.7,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/inf2.70001","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144100844","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Advancing perovskite photovoltaic technology through machine learning-driven automation","authors":"Jiyun Zhang,&nbsp;Jianchang Wu,&nbsp;Vincent M. Le Corre,&nbsp;Jens A. Hauch,&nbsp;Yicheng Zhao,&nbsp;Christoph J. Brabec","doi":"10.1002/inf2.70005","DOIUrl":"https://doi.org/10.1002/inf2.70005","url":null,"abstract":"<p>Since its emergence in 2009, perovskite photovoltaic technology has achieved remarkable progress, with efficiencies soaring from 3.8% to over 26%. Despite these advancements, challenges such as long-term material and device stability remain. Addressing these challenges requires reproducible, user-independent laboratory processes and intelligent experimental preselection. Traditional trial-and-error methods and manual analysis are inefficient and urgently need advanced strategies. Automated acceleration platforms have transformed this field by improving efficiency, minimizing errors, and ensuring consistency. This review summarizes recent developments in machine learning-driven automation for perovskite photovoltaics, with a focus on its application in new transport material discovery, composition screening, and device preparation optimization. Furthermore, the review introduces the concept of the self-driven Autonomous Material and Device Acceleration Platforms (AMADAP) laboratory and discusses potential challenges it may face. This approach streamlines the entire process, from material discovery to device performance improvement, ultimately accelerating the development of emerging photovoltaic technologies.</p><p>\u0000 <figure>\u0000 <div><picture>\u0000 <source></source></picture><p></p>\u0000 </div>\u0000 </figure></p>","PeriodicalId":48538,"journal":{"name":"Infomat","volume":"7 5","pages":""},"PeriodicalIF":22.7,"publicationDate":"2025-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/inf2.70005","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144100628","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Machine learning for discrimination of phase-change chalcogenide glasses","authors":"Qundao Xu,&nbsp;Meng Xu,&nbsp;Siqi Tang,&nbsp;Shaojie Yuan,&nbsp;Ming Xu,&nbsp;Wei Zhang,&nbsp;Xian-Bin Li,&nbsp;Zhongrui Wang,&nbsp;Xiangshui Miao,&nbsp;Chengliang Wang,&nbsp;Matthias Wuttig","doi":"10.1002/inf2.70006","DOIUrl":"https://doi.org/10.1002/inf2.70006","url":null,"abstract":"<p>Chalcogenides, despite their versatile functionality, share a notably similar local structure in their amorphous states. Particularly in electronic phase-change memory applications, distinguishing these glasses from neighboring compositions that do not possess memory capabilities is inherently difficult when employing traditional analytical methods. This has led to a dilemma in materials design since an atomistic view of the arrangement in the amorphous state is the key to understanding and optimizing the functionality of these glasses. To tackle this challenge, we present a machine learning (ML) approach to separate electronic phase-change materials (ePCMs) from other chalcogenides, based upon subtle differences in the short-range order inside the glassy phase. Leveraging the established structure–property relations in chalcogenide glasses, we select suitable features to train accurate machine learning models, even with a modestly sized dataset. The trained model accurately discerns the critical transition point between glass compositions suitable for use as ePCMs and those that are not, particularly for both GeTe–GeSe and Sb₂Te₃–Sb₂Se₃ materials, in line with experiments. Furthermore, by extracting the physical knowledge that the ML model has offered, we pinpoint three pivotal structural features of amorphous chalcogenides, that is, the bond angle, packing efficiency, and the length of the fourth bond, which provide a map for materials design with the ability to “predict” and “explain”. All three of the above features point to the smaller Peierls-like distortion and more well-defined octahedral clusters in amorphous ePCMs than non-ePCMs. Our study delves into the mechanisms shaping these structural attributes in amorphous ePCMs, yielding valuable insights for the AI-powered discovery of novel materials.</p><p>\u0000 <figure>\u0000 <div><picture>\u0000 <source></source></picture><p></p>\u0000 </div>\u0000 </figure></p>","PeriodicalId":48538,"journal":{"name":"Infomat","volume":"7 4","pages":""},"PeriodicalIF":22.7,"publicationDate":"2025-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/inf2.70006","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143827089","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Back cover image","authors":"Man-Kei Wong,&nbsp;Jian Yiing Loh,&nbsp;Feng Ming Yap,&nbsp;Wee-Jun Ong","doi":"10.1002/inf2.12665","DOIUrl":"https://doi.org/10.1002/inf2.12665","url":null,"abstract":"<p>The cover art, prepared by Ong's group at Xiamen University Malaysia, showcases the advancement and application of layered double hydroxides (LDHs) and other cutting-edge electrocatalysts, driving the transition to a net-zero future. The train symbolizes the momentum towards renewable fuels powered by next-generation electrochemical energy conversion and storage technologies. This captivating journey highlights the development of robust, advanced electrocatalysts that tackle environmental challenges while generating value-added energy products.\u0000\u0000 <figure>\u0000 <div><picture>\u0000 <source></source></picture><p></p>\u0000 </div>\u0000 </figure></p>","PeriodicalId":48538,"journal":{"name":"Infomat","volume":"7 2","pages":""},"PeriodicalIF":22.7,"publicationDate":"2025-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/inf2.12665","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143439016","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Ultra-stretchable, super-tough, and highly stable ion-doped hydrogel for advanced robotic applications and human motion sensing","authors":"Masoud Hasany,&nbsp;Mohammad Kohestanian,&nbsp;Azar Najafi Tireh Shabankareh,&nbsp;Parinaz Nezhad-Mokhtari,&nbsp;Mehdi Mehrali","doi":"10.1002/inf2.12655","DOIUrl":"https://doi.org/10.1002/inf2.12655","url":null,"abstract":"<p>Hydrogel-based sensors are recognized as key players in revolutionizing robotic applications, healthcare monitoring, and the development of artificial skins. However, the primary challenge hindering the commercial adoption of hydrogel-based sensors is their lack of high stability, which arises from the high water content within the hydrogel structure, leading to freezing at subzero temperatures and drying issues if the protective layer is compromised. These factors result in a significant decline in the benefits offered by aqueous gel electrolytes, particularly in terms of mechanical properties and conductivity, which are crucial for flexible wearable electronics. Previous reports have highlighted several disadvantages associated with using cryoprotectant co-solvents and lower mechanical properties for ion-doped anti-freezing hydrogel sensors. In this study, the design and optimization of a photocrosslinkable ionic hydrogel utilizing silk methacrylate as a novel natural crosslinker are presented. This innovative hydrogel demonstrates significantly enhanced mechanical properties, including stretchability (&gt;1825%), tensile strength (2.49 MPa), toughness (9.85 MJ m^–³), and resilience (4% hysteresis), compared to its non-ion-doped counterpart. Additionally, this hydrogel exhibits exceptional nonfreezing behavior down to −85°C, anti-drying properties with functional stability up to 2.5 years, and a signal drift of only 5.35% over 2450 cycles, whereas the control variant, resembling commonly reported hydrogels, exhibits a signal drift of 149.8%. The successful application of the developed hydrogel in advanced robotics, combined with the pioneering demonstration of combinatorial commanding using a single sensor, could potentially revolutionize sensor design, elevating it to the next level and benefiting various fields.</p><p>\u0000 <figure>\u0000 <div><picture>\u0000 <source></source></picture><p></p>\u0000 </div>\u0000 </figure></p>","PeriodicalId":48538,"journal":{"name":"Infomat","volume":"7 5","pages":""},"PeriodicalIF":22.7,"publicationDate":"2025-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/inf2.12655","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144100907","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Inkjet-printed reconfigurable and recyclable memristors on paper","authors":"Jinrui Chen,&nbsp;Mingfei Xiao,&nbsp;Zesheng Chen,&nbsp;Sibghah Khan,&nbsp;Saptarsi Ghosh,&nbsp;Nasiruddin Macadam,&nbsp;Zhuo Chen,&nbsp;Binghan Zhou,&nbsp;Guolin Yun,&nbsp;Kasia Wilk,&nbsp;Georgios Psaltakis,&nbsp;Feng Tian,&nbsp;Simon Fairclough,&nbsp;Yang Xu,&nbsp;Rachel Oliver,&nbsp;Tawfique Hasan","doi":"10.1002/inf2.70000","DOIUrl":"https://doi.org/10.1002/inf2.70000","url":null,"abstract":"<p>Reconfigurable memristors featuring neural and synaptic functions hold great potential for neuromorphic circuits by simplifying system architecture, cutting power consumption, and boosting computational efficiency. Building upon these attributes, their additive manufacturing on sustainable substrates further offers unique advantages for future electronics, including low environmental impact. Here, exploiting the structure–property relationship of inkjet-printed MoS₂ nanoflake-based resistive layer, we present paper-based reconfigurable memristors. We demonstrate a sustainable process covering material exfoliation, device fabrication, and device recycling. With &gt;90% yield from a 16 × 65 device array, our memristors demonstrate robust resistive switching, with &gt;10⁵ ON–OFF ratio and &lt;0.5 V operation in non-volatile state. Through modulation of compliance current, the devices transition into a volatile state, with only 50 pW switching power consumption. These performances rival state-of-the-art metal oxide-based counterparts. We show device recyclability and stable, reconfigurable operation following disassembly, material collection and re-fabrication. We further demonstrate synaptic plasticity and neuronal leaky integrate-and-fire functionality, with disposable applications in smart packaging and simulated medical image diagnostics. Our work shows a sustainable pathway toward printable, reconfigurable neuromorphic devices, with minimal environmental footprints.</p><p>\u0000 <figure>\u0000 <div><picture>\u0000 <source></source></picture><p></p>\u0000 </div>\u0000 </figure></p>","PeriodicalId":48538,"journal":{"name":"Infomat","volume":"7 5","pages":""},"PeriodicalIF":22.7,"publicationDate":"2025-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/inf2.70000","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144100597","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}