InfomatPub Date : 2025-09-28DOI: 10.1002/inf2.70082
Hamid Ali, Zeeshan Ajmal, Abdullah Yahya Abdullah Alzahrani, Mohammed H. Al Mughram, Ahmed M. Abu-Dief, Rawan Al-Faze, Hassan M. A. Hassan, Saedah R. Al-Mhyawi, Yas Al-Hadeethi, Yasin Orooji, Sheng-Rong Guo, Asif Hayat
{"title":"Back Cover Image","authors":"Hamid Ali, Zeeshan Ajmal, Abdullah Yahya Abdullah Alzahrani, Mohammed H. Al Mughram, Ahmed M. Abu-Dief, Rawan Al-Faze, Hassan M. A. Hassan, Saedah R. Al-Mhyawi, Yas Al-Hadeethi, Yasin Orooji, Sheng-Rong Guo, Asif Hayat","doi":"10.1002/inf2.70082","DOIUrl":"https://doi.org/10.1002/inf2.70082","url":null,"abstract":"<p>Based on the provided content and the theme of here is image concept that reflects the viewpoint of defect engineering in photocatalysts: Concept for Cover Design: “Defect-Mediated Charge Dynamics: Illuminating Photocatalytic Pathways” Visual Narrative: 1. Central Motif Crystalline lattice structure with a purposeful atomic vacancy (defect site) glowing at its core, representing TiO<sub>2</sub> or g-C<sub>3</sub>N<sub>4</sub>. Dual energy pathways are released by the defect: Electron(e<sup>−</sup>) trajectory (blue vortex) ascending toward the conduction band (CB). The red vortex, or hole (h<sup>+</sup>) trajectory, is descending toward the valence band (VB). 2.Dynamic Elements: Light Interaction: Sunlight beams striking the defect site and splitting into spectral flares (signaling enhanced light absorption). Charge Separation:streams of e<sup>−</sup> and h<sup>+</sup> diverge toward opposing edges, preventing recombination (represented as avoided collision points). Catalytic Reactions: Reduction side: e<sup>−</sup> stream converting H<sub>2</sub>O to blue H<sub>2</sub> bubbles. Oxidation side: pollutants and organic dyes (red) are broken down by the stream. 3. Color Palette Base: Deep cosmic blue (the bulk of a semiconductor) with neon accents (defect energy).-Bands: CB is electric blue (top), and VB is crimson gradient (bottom).-Light effects: Solar excitation produces gold-white radiance.\u0000\u0000 <figure>\u0000 <div><picture>\u0000 <source></source></picture><p></p>\u0000 </div>\u0000 </figure></p>","PeriodicalId":48538,"journal":{"name":"Infomat","volume":"7 9","pages":""},"PeriodicalIF":22.3,"publicationDate":"2025-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/inf2.70082","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145181576","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}
InfomatPub Date : 2025-09-28DOI: 10.1002/inf2.70081
Qiongshan Zhang, Qiang Che, Fuzhen Xuan, Bin Zhang
{"title":"Inside Front Cover Image","authors":"Qiongshan Zhang, Qiang Che, Fuzhen Xuan, Bin Zhang","doi":"10.1002/inf2.70081","DOIUrl":"https://doi.org/10.1002/inf2.70081","url":null,"abstract":"<p>Artificial visual neural systems have emerged as promising candidates for overcoming the von Neumann bottleneck via integrating image perception, storage, and computation. Existing photoeletric memristor are limited by the need for specific wavelengths or long input times to maintain stable behaviour. Here, we introduce a benzothiophene-modified covalent organic framework, enhancing the photoelectric response of methyl trinuclear copper for low-voltage (0.2 V) redox processes. The material enables the modulation of 50 conductive states via light and electrical signals, improving recognition accuracy in low light, dense fog, and high-frequency motion. The ITO/BTT-Cu3/ITO device's accuracy increases from 7.1% with 2 states to 87.1% after training. This construction strategy and the synergistic effect of photoelectric interactions offer a new pathway for the development of photoelectric neuromorphic computing elements capable of processing environmental information in situ.\u0000\u0000 <figure>\u0000 <div><picture>\u0000 <source></source></picture><p></p>\u0000 </div>\u0000 </figure></p>","PeriodicalId":48538,"journal":{"name":"Infomat","volume":"7 9","pages":""},"PeriodicalIF":22.3,"publicationDate":"2025-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/inf2.70081","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145181596","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":"Self-assembled monolayers accelerating perovskite/silicon tandem solar cells","authors":"Shenghan Wu, Zilong Wu, Yuliang Xu, Juncheng Wang, Jingwei Zhu, Wenbo Jiao, Zhiyu Gao, Hao Zhang, Shengqiang Ren, Cong chen, Zhongke Yuan, Dewei Zhao","doi":"10.1002/inf2.70050","DOIUrl":"https://doi.org/10.1002/inf2.70050","url":null,"abstract":"<p>The simple solution processing of perovskite materials, combined with the high efficiency potential of tandem structures and the mature silicon infrastructure, makes perovskite/silicon tandems highly attractive for advancing cost-effective and high-performance photovoltaic technologies. In recent years, lots of work has been reported in improving device efficiency and enhancing long-term stability by optimizing the hole transport layer (HTL). In this perspective, we outline the limitations of conventional hole transport materials used for wide-bandgap (WBG) perovskite subcells in tandem devices. We then briefly summarize the development of perovskite/silicon tandem solar cells (PS-TSCs) and highlight the landmark breakthroughs. Finally, we emphatically discuss and comment on the application and challenge of self-assembled monolayers (SAMs) in perovskite/silicon tandems. We hope this perspective will enable researchers to have a clearer understanding of recent research based on perovskite/silicon tandem and inspire more meaningful work in the future.</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 9","pages":""},"PeriodicalIF":22.3,"publicationDate":"2025-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/inf2.70050","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145181524","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}
InfomatPub Date : 2025-07-04DOI: 10.1002/inf2.70040
Hamid Ali, Zeeshan Ajmal, Abdullah Yahya Abdullah Alzahrani, Mohammed H. Al Mughram, Ahmed M. Abu-Dief, Rawan Al-Faze, Hassan M. A. Hassan, Saedah R. Al-Mhyawi, Yas Al-Hadeethi, Yasin Orooji, Sheng-Rong Guo, Asif Hayat
{"title":"Defect-driven innovations in photocatalysts: Pathways to enhanced photocatalytic applications","authors":"Hamid Ali, Zeeshan Ajmal, Abdullah Yahya Abdullah Alzahrani, Mohammed H. Al Mughram, Ahmed M. Abu-Dief, Rawan Al-Faze, Hassan M. A. Hassan, Saedah R. Al-Mhyawi, Yas Al-Hadeethi, Yasin Orooji, Sheng-Rong Guo, Asif Hayat","doi":"10.1002/inf2.70040","DOIUrl":"https://doi.org/10.1002/inf2.70040","url":null,"abstract":"<p>Defect engineering in photocatalytic materials has garnered significant interest due to the considerable impact of defects on light absorption, charge separation, and surface reaction dynamics. However, a limited understanding of how these defects influence photocatalytic properties remains a persistent challenge. This review comprehensively analyzes the vital role of defect engineering for enhancing the photocatalytic performance, highlighting its significant influence on material properties and efficiency. It systematically classifies defect types, including vacancy defects (oxygen and metal vacancies), doping defects (anion and cation), interstitial defects, surface defects (step edges, terraces, kinks, and disordered layers), antisite defects, and interfacial defects in the core–shell structures and heterostructure borders. The impact of complex defect groups and manifold defects on improved photocatalytic performance is also examined. The review emphasizes the principal benefits of defect engineering, including the enhancement of light adsorption, reduction of band gaps, improved charge separation and movements, and suppression of charge recombination. These enhancements lead to a boost in catalytic active sites, optimization of electronic structures, tailored band alignments, and the development of mid-gap states, leading to improved structural stability, photocorrosion resistance, and better reaction selectivity. Furthermore, the most recent improvements, such as oxygen vacancies, nitrogen and sulfur doping, surface defect engineering, and innovations in heterostructures, defect-rich metal–organic frameworks, and defective nanostructures, are examined comprehensively. This study offers essential insights into modern techniques and approaches in defect engineering, highlighting its significance in addressing challenges in photocatalytic materials and promoting the advancement of effective and adaptable platforms for renewable energy and environmental uses.</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 9","pages":""},"PeriodicalIF":22.3,"publicationDate":"2025-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/inf2.70040","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145181508","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":"Anomalous CuCrP2S6/WSe2 interface enabled two-dimensional programmable homojunction for self-powered photodetection and complex optoelectronic logics","authors":"Tengyu Jin, Xiangyu Hou, Shu Shi, Jingyu Mao, Yichen Cai, Yizhuo Luo, Wei Zhang, Jinlong Zhu, Junhao Lin, Jingsheng Chen, Wei Chen","doi":"10.1002/inf2.70022","DOIUrl":"https://doi.org/10.1002/inf2.70022","url":null,"abstract":"<p>Ferroelectric materials hold great potential for modulating two-dimensional (2D) materials to achieve electrically tunable homojunction (ETH). However, ETH based on conventional ferroelectrics encounters significant challenges attributed to the surface with dangling bonds and the associated depolarization field. Here, we introduce a novel 2D ETH device based on the anomalous interfacial effect between 2D layered ferroelectric CuCrP<sub>2</sub>S<sub>6</sub> and ambipolar WSe<sub>2</sub>, creating a versatile platform for nonvolatile memory and high-performance optoelectronic applications. The device capitalizes on the realization of ETH through a localized doping strategy facilitated by ferroelectric polarization-assisted charge trapping. When modulated to a p–n junction diode, the device showcases superior rectifying characteristics and high-performance self-powered photodetection, with a highest responsivity over 0.14 A·W<sup>−1</sup>. Moreover, the nonvolatile ETH device enables a single device to implement complex optoelectronic logics of exclusive OR (XOR), OR, and not implication (NIMP) that can be reconfigured by light illumination. Compared to the traditional CMOS-based logics, the ETH device significantly reduces the transistor number by 87.5%, 83.3%, and 87.5% for XOR, OR, and NIMP, respectively. The successful demonstration of the ETH device based on 2D ferroelectric materials paves the way for the development of advanced and simplified photo-electric interconnected circuits.</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 9","pages":""},"PeriodicalIF":22.3,"publicationDate":"2025-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/inf2.70022","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145181572","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":"In-sensor reservoir computing for biometric identification based on MoTe2/BaTiO3 optical synapses","authors":"Zhenqiang Guo, Gongjie Liu, Weifeng Zhang, Xinhao Li, Zhen Zhao, Qiuhong Li, Haoqi Liu, Xiaobing Yan","doi":"10.1002/inf2.70036","DOIUrl":"https://doi.org/10.1002/inf2.70036","url":null,"abstract":"<p>The artificial intelligence era has witnessed a surge of demand in detection and recognition of biometric information, with applications from financial services to information security. However, the physical separation of sensing, memory, and computational units in traditional biometric systems introduces severe decision latency and operational power consumption. Herein, an in-sensor reservoir computing (RC) system based on MoTe<sub>2</sub>/BaTiO<sub>3</sub> optical synapses is proposed to detect and recognize the faces and fingerprints information. In optical operation mode, the device exhibits low energy consumption of 41.2 pJ, long retention time of 3 × 10<sup>4</sup> s, high endurance of 10<sup>4</sup> switching cycles, and multifunctional sensing-memory-computing visual simulations. The light intensity-dependent optical sensing and multilevel optical storage properties are exploited to achieve sunburned eye simulation and image memory functions. These nonlinear, multi-state, short-term storage, and long-term memory characteristics make MoTe<sub>2</sub>/BaTiO<sub>3</sub> optical synapses a suitable reservoir layer and readout layer, with short-term properties to project complicated input features into high-dimensional output features, and long-term properties to be used as a readout layer, thus further building an in-sensor RC system for face and fingerprint recognition. Under the 40% Gaussian noise environment, the system achieves 91.73% recognition accuracy for face and 97.50% for fingerprint images, and experimental verification is carried out, which shows potential in practical applications. These results provide a strategy for constructing a high-performance in-sensor RC system for high-accuracy biometric identification.</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 8","pages":""},"PeriodicalIF":22.3,"publicationDate":"2025-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/inf2.70036","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144905612","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}
InfomatPub Date : 2025-06-04DOI: 10.1002/inf2.70002
Weiqiang Zhang, Linfeng Deng, Xiaozhou Lü, Mingxin Liu, Zewei Ren, Sicheng Chen, Yuanjin Zheng, Bin Yao, Weimin Bao, Zhong Lin Wang
{"title":"Advanced handwriting identification: Triboelectric sensor array integrating with deep learning toward high information security","authors":"Weiqiang Zhang, Linfeng Deng, Xiaozhou Lü, Mingxin Liu, Zewei Ren, Sicheng Chen, Yuanjin Zheng, Bin Yao, Weimin Bao, Zhong Lin Wang","doi":"10.1002/inf2.70002","DOIUrl":"https://doi.org/10.1002/inf2.70002","url":null,"abstract":"<p>Handwriting identification is widely accepted as scientific evidence. However, its authenticity is questioned because it depends on the appraiser's professional skills and susceptibility to deliberate false identification by expert witnesses. Consequently, there is an urgent need for an effective handwriting identification system (HWIS) that reduces reliance on the appraiser's skills and mitigates the risk of international false identification. Here, we report a HWIS that integrates a self-powered handwriting signal data acquisition device with an advanced deep learning architecture possessing powerful feature extraction ability and one-class classification function. The device successfully captures the characteristic differences in handwriting behavior between genuine writers and forgers, and the handwriting identification results demonstrate the excellent performance of our system, showcasing its powerful potential to solve the longstanding challenge of handwriting identification that has perplexed humans for a considerable period. Moreover, this work exhibits the system's capability for remote access and downloading the handwriting signal data through the data cloud, highlighting its practical value for fulfilling the requirements of handwriting recognition and identification applications, and it can effectively advance signature information security and ensure the protection of private information.</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 8","pages":""},"PeriodicalIF":22.3,"publicationDate":"2025-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/inf2.70002","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144905375","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}