Article
Chemistry, Multidisciplinary
Bo Jiang, Wenjie Gu, Wenxuan Jiang, Mengqi Lv, Ben Niu, Xue-Jun Wu, Wei Wang, Hui Wang
Summary: This study demonstrated a simple optical technique to directly observe the transient interfacial electronic coupling events during the electrochemical oxidation of single Ag nanoparticles on an Au electrode. The results showed that the interfacial electronic coupling facilitates the electron transfer of single nanoparticles and provides important insight into understanding the detailed mechanism of nanoelectrochemistry.
ANGEWANDTE CHEMIE-INTERNATIONAL EDITION
(2022)
Review
Chemistry, Physical
Hao-Wei Wang, Si-Min Lu, Mengjie Chen, Yi-Tao Long
Summary: Single-entity electrochemistry, focusing on transient electrochemical processes at the confined interface, has become a promising field due to advancements in optical techniques. Recent progress in optical-electrochemical measurements has provided detailed information on precise localization, dynamic behavior tracking, and confinement-controlled electrochemistry.
CURRENT OPINION IN ELECTROCHEMISTRY
(2022)
Article
Chemistry, Analytical
Oforbuike N. Egbe, Bradley H. P. Morrissey, Nikita E. Harvey, Celine Schneider, Lindsay S. Cahill, Talia Jane Stockmann
Summary: This study investigates the effects of solvent on the supramolecular system of ionic liquids using single entity electrochemistry and diffusion NMR. The results show that the addition of small organic solvents disrupts the ion aggregates and causes them to shrink only after reaching a certain concentration level.
JOURNAL OF ELECTROANALYTICAL CHEMISTRY
(2023)
Article
Chemistry, Multidisciplinary
Thomas Quast, Harshitha Barike Aiyappa, Sascha Saddeler, Patrick Wilde, Yen-Ting Chen, Stephan Schulz, Wolfgang Schuhmann
Summary: Nano-electrochemical tools were used to assess the catalytic activity of individual Co3O4 nanoparticles, showing size-dependent high catalytic activity. The efficient SEM-controlled robotic technique successfully placed single catalyst particles on carbon-based nanoelectrodes, leading to a stable nanoassembly with excellent electrochemical performance.
ANGEWANDTE CHEMIE-INTERNATIONAL EDITION
(2021)
Article
Chemistry, Physical
Archana Kaliyaraj Selva Kumar, Richard G. Compton
Summary: Cyclic voltammetry and single-entity electrochemistry were used to evaluate the electrocatalysis of the VO2+/VO2+ redox couple by bamboo-like multiwalled carbon nanotubes. It was found that individual nanotubes accelerated the oxidation reaction but retarded the reduction reaction. When an ensemble of nanotubes was drop-casted onto a glassy carbon electrode, an electrochemically nearly reversible response was observed and explained by changes in mass transport regime.
Article
Chemistry, Multidisciplinary
Xu Li, Na Li, Le Yang, Hao-Sen Chen, Wei-Li Song
Summary: The relationship between interface structure and electrode reactivity in electrochemistry is crucial. Electrochemical methods on the single-particle scale have advantages in establishing the structure-property relationship. Recent achievements in electrochemical energy storage and electrocatalysis have enabled the understanding of electrode evolution and kinetics through single-particle measurements. This concept provides an overview of the progress in single-particle measurements in related electrochemical processes, as well as discusses the challenges and prospects for their development and application.
CHEMISTRY-A EUROPEAN JOURNAL
(2023)
Article
Chemistry, Multidisciplinary
Shaohua Chen, Chenyuan Zhu, Haoyang Gu, Li Wang, Jiajie Qi, Lixiang Zhong, Zhibin Zhang, Chunlei Yang, Guoshuai Shi, Siwen Zhao, Shuzhou Li, Kaihui Liu, Liming Zhang
Summary: The study successfully improved the selectivity of CH4 and achieved efficient electrochemical conversion by designing the interface of monolayer hexagonal boron nitride/copper. Experimental and theoretical calculations both demonstrated that the h-BN/Cu interfacial perimeters provide specific chelating sites to accelerate the conversion of CO.
Article
Electrochemistry
Xin-Xing Wang, Cheng Chen, Hai-Zhu Shi, Guo-Wei Zhang, Yu Tang, Chun-Gu Zhang, Ming-Yu Wu, Shun Feng
Summary: A metal- and oxidant-free electrochemical synthesis method was developed for the production of aryl sulfides through a C-H sulfidation reaction of arenes and disulfides. This approach offers wide substrate compatibility, mild reaction conditions, and waste-free advantages compared to traditional organic synthesis methods. This study also proposed a possible reaction mechanism based on cyclic voltammetry (CV) and control experiments, highlighting the practicality of this electrochemical strategy.
JOURNAL OF THE ELECTROCHEMICAL SOCIETY
(2021)
Review
Chemistry, Physical
Mohammad Hasibul Hasan, Ian T. McCrum
Summary: This article discusses the quantitative understanding of the effects of near-surface solvent on predictive catalyst and electrode design through the direct comparison between ab initio computational modeling and experimental measurements. It also provides a benchmark for different approximations and suggests improved modeling methodologies.
CURRENT OPINION IN ELECTROCHEMISTRY
(2022)
Article
Chemistry, Physical
Yechuan Chen, Genevieve Stelmacovich, Adrian Mularczyk, Dilworth Parkinson, Siddharth Komini Babu, Antoni Forner-Cuenca, Svitlana Pylypenko, Iryna Zenyuk
Summary: With the increasing demand for clean energy and net-zero greenhouse gas emissions, the field of electrocatalysis has gained significant interest. While electron microscopy techniques have been extensively used for imaging electrochemical devices, X-ray tomography has emerged as a promising alternative due to its better transmission behavior and nondestructive nature. X-ray tomography allows for the visualization of morphology and changes at both microscale and nanoscale resolution in operando electrochemical devices. This viewpoint highlights recent advances in X-ray tomography for electrocatalysis, compares it to other tomographic techniques, and discusses key complementary techniques that can provide additional information during imaging.
Article
Chemistry, Analytical
Han Gao, Jianan Xu, Chen Liu, Fei Wang, Haotian Sun, Qian Wang, Min Zhou
Summary: Quartz nanopipette-based carbon nanoelectrodes (CNEs) have become a popular choice in nanoscale electrochemistry due to their simple fabrication process, chemically inert materials, adjustable size, and ultrathin insulation. However, the irregular surface morphology of these electrodes limits their applications. To overcome this issue, researchers have developed a precise polishing strategy to create flat carbon nanodisk electrodes.
ANALYTICAL CHEMISTRY
(2022)
Article
Chemistry, Physical
Richard G. Compton, Yuanyuan Lu, Xiuting Li
Summary: The electrocatalytic properties of multiwalled carbon nanotubes (MWCNTs) on the oxygen reduction reaction (ORR) in aqueous base have been studied at the single entity level. It has been shown that the electroactive surface functionality facilitates significant electrocatalysis, resulting in the formation of peroxide at lower potentials compared to bare carbon macroelectrodes and carbon nanotube modified electrodes.
JOURNAL OF PHYSICAL CHEMISTRY LETTERS
(2022)
Review
Chemistry, Analytical
Jee Woo Kim, Gowrisankar Aruchamy, Byung-Kwon Kim
Summary: This review provides an overview of the recent developments and applications of single-entity electrochemistry (SEE) in the field of analytical/electroanalytical chemistry, with a focus on single metal nanoparticles, emulsion nanodroplets, and bio-entities.
TRAC-TRENDS IN ANALYTICAL CHEMISTRY
(2023)
Article
Electrochemistry
Y. Nabae, Q. Yuan, S. Nagata, K. Kusaba, T. Aoki, N. Takao, T. Itoh, M. Arao, H. Imai, K. Higashi, T. Sakata, T. Uruga, Y. Iwasawa
Summary: The research found that the degradation of Fe/N/C catalysts in PEMFCs mainly occurs during the first few hours of operation, leading to a decrease in fuel cell performance as Fe species dissolve from active sites. However, the remaining FeNx centers appear to remain stable under subsequent operating conditions.
JOURNAL OF THE ELECTROCHEMICAL SOCIETY
(2021)
Article
Chemistry, Physical
Matthew T. Darby, Michail Stamatakis
Summary: Single-atom alloys show potential as electrocatalysts in proton-exchange membrane fuel cells, with PdAu SAA exhibiting lower theoretical overpotential, enhanced selectivity, and potential to approach the catalytic performance of Pt/C.
Article
Biochemical Research Methods
Haihan He, Chuhong Wu, Muhammad Saqib, Rui Hao
Summary: Proteins are crucial building blocks of life, and their detection and sequencing are important for understanding diseases and biological processes. Single-molecule protein detection/sequencing tools can greatly advance clinical research and enable the early diagnosis of diseases. Fluorescence-based methods have emerged as powerful tools for single protein detection/sequencing, providing higher sensitivity and accuracy.
ANALYTICAL AND BIOANALYTICAL CHEMISTRY
(2023)
Article
Chemistry, Physical
Khadijah Mohammedsaleh Katubi, Muhammad Saqib, Amna Rehman, Shahzad Murtaza, Shabbir Hussain, Z. A. Alrowaili, M. S. Al-Buriahi
Summary: Designing new small molecule donors is a hot topic in organic solar cell research. Theoretical simulations using density functional theory (DFT) were employed to design four small molecule donors by replacing hydrogen with different groups. The study provides insights into the effect of molecular polarity on the properties of the designed donors.
CHEMICAL PHYSICS LETTERS
(2023)
Article
Biochemistry & Molecular Biology
Jehad Saleh, Sajjad Haider, Muhammad Saeed Akhtar, Muhammad Saqib, Muqadas Javed, Sayed Elshahat, Ghulam Mustafa Kamal
Summary: Integrating computer science and artificial intelligence with conventional methods in optimization and material synthesis can guide experimental researchers to develop, design, predict and discover high-performance materials for photodetectors.
Article
Chemistry, Inorganic & Nuclear
Khadijah Mohammedsaleh Katubi, Muhammad Saqib, Momina Maryam, Tayyaba Mubashir, Mudassir Hussain Tahir, Muhammad Sulaman, Z. A. Alrowaili, M. S. Al-Buriahi
Summary: In this study, a machine learning assisted approach is utilized to design efficient organic semiconductors for OSCs in a fast and cost-effective manner. Experimental and theoretical data is collected to train machine learning models and predict properties of organic semiconductors. High-throughput screening and data visualization analysis are performed to evaluate the database's trends and detect outliers. The approach is tested on >1000 new organic semiconductors and two models, random forest regressor and extra trees regressor, show better predictive capability.
INORGANIC CHEMISTRY COMMUNICATIONS
(2023)
Article
Chemistry, Organic
Muhammad Saqib, Tayyaba Mubashir, Mudassir Hussain Tahir, Muqadas Javed, Asima Hameed, Asad Aziz, Shaban R. M. Sayed, Hosam O. O. El-ansary
Summary: Organic molecules have diverse applications in materials science, chemical, and biomedical fields. Traditional design methods face limitations due to design space and growing demand for new materials. Modern researchers employ artificial intelligence and computer science to design high-performance materials and predict properties of new materials. In this study, benzofuran-based building blocks are utilized as a standard molecule to search for new building blocks. Similarity analysis and virtual libraries are used to screen and identify potential candidates for photodetectors. The study also introduces a method to efficiently and rapidly identify new monomers for photodetectors.
JOURNAL OF PHYSICAL ORGANIC CHEMISTRY
(2023)
Article
Chemistry, Multidisciplinary
Mohamed Ibrahim Halawa, Muhammad Saqib
Summary: A new electrochemiluminescence system with high sensitivity and selectivity is reported for the detection of amisulpride (AMS). The system utilizes the co-reaction effect of AMS to enhance the ECL efficiency of luminol, leading to improved detection of AMS. The developed method shows low detection and quantification limits for AMS.
Article
Chemistry, Analytical
Ghulam Mustafa Kamal, Nafia Nazi, Asma Sabir, Muhammad Saqib, Xu Zhang, Bin Jiang, Jallat Khan, Ayesha Noreen, Jalal Uddin, Shahzad Murtaza
Summary: This study investigated the variations in yield and chemical composition of essential oils of two cultivars of ginger (Chinese and Thailand) available in Pakistan. The results showed that the sun-dried samples had the highest essential oil yield. The chemical analysis revealed significant differences in the concentrations of volatile compounds between the Chinese and Thailand cultivars. These findings can be useful for ginger growers and end users in selecting the most beneficial ginger variety and method of use.
Article
Chemistry, Analytical
Mohamed Ibrahim Halawa, Muhammad Saqib, Weihao Lei, Lei Su, Xueji Zhang
Summary: In this study, phosphorescent gold nanoclusters (CoA@GNCs) have been synthesized using coenzyme A (CoA) and it was found that the AIE effect could be induced through the interaction between PO3 (2-) and Zr4+ ions, and the AIE was highly specific to Zr4+ ions. Furthermore, a Zr4+-CoA@GNCs-based DPA biosensor has been developed for quick and sensitive detection of spore contamination.
ANALYTICAL CHEMISTRY
(2023)
Article
Chemistry, Physical
Nada Alfryyan, Muhammad Saqib, Muhammad Arsal Farooq, Muhammad Ali, Tayyaba Mubashir, Mudassir Hussain Tahir, Z. A. Alrowaili, M. S. Al-Buriahi
Summary: This study presents machine-learning tools for the accurate and fast prediction of intramolecular reorganization energy (Re) of organic semiconductors. Chemical designs can accurately predict the REs of organic semiconductor materials. This research holds immense potential for the virtual mining of polymer monomers for photodetectors applications and regression-aided reorganization energy predictions.
CHEMICAL PHYSICS LETTERS
(2023)
Article
Chemistry, Physical
Khadijah Mohammedsaleh Katubi, Muhammad Saqib, Tayyaba Mubashir, Mudassir Hussain Tahir, Mohamed Ibrahim Halawa, Alveena Akbar, Beriham Basha, Muhammad Sulaman, Z. A. Alrowaili, M. S. Al-Buriahi
Summary: Machine learning analysis is an important tool for predicting parameters and designing efficient solar cell materials. By collecting data from literature and using regression models, accurate predictions can be obtained. Among the tested models, hist gradient boosting (HGB) and light gradient boosting (LGBM) regression models showed better predictive capabilities, particularly for power conversion efficiency (PCE) prediction.
INTERNATIONAL JOURNAL OF QUANTUM CHEMISTRY
(2023)
Article
Biochemistry & Molecular Biology
Fei Xiao, Muhammad Saqib, Soha Razzaq, Tayyaba Mubashir, Mudassir Hussain Tahir, Ihab Mohamed Moussa, Hosam O. El-ansary
Summary: In this study, machine learning techniques were used to screen reported research data and design new polymer acceptor materials. Quantitative structure-activity relationship models were generated and molecular descriptors that had a key effect on power conversion efficiency were identified. Regression models were developed to predict the efficiency, and new materials were designed based on similarity analysis.
JOURNAL OF MOLECULAR MODELING
(2023)
Article
Chemistry, Multidisciplinary
Fatimah Mohammed A. Alzahrani, Muhammad Saqib, Maria Arooj, Tayyaba Mubashir, Mudassir Hussain Tahir, Z. A. Alrowaili, M. S. Al-Buriahi
Summary: Designing effective materials for organic solar cells (OSCs) is a challenging and time-consuming process. Machine learning (ML) is utilized in this study to predict the efficiency of building blocks and screen structures. The proposed framework can efficiently screen and design effective polymers for OSCs, and predict their power conversion efficiency (PCE) without experimental methods in minimum time with marginal computational cost.
JOURNAL OF PHYSICS AND CHEMISTRY OF SOLIDS
(2023)
Article
Chemistry, Multidisciplinary
Xin Zhao, Yanyan Li, Yu Cui, Muhammad Saqib, Xinyu Zhang, Rui Hao, Zhiping Zheng
Summary: Transition metal-layered hydroxides, such as cobalt-layered hydroxide, have been studied to address the slow kinetics of the oxygen evolution reaction (OER). In this study, a comprehensive strategy using electrochemiluminescence (ECL) and vis-absorption microscopy was developed for in situ investigation of the electrocatalytic OER process at the single electrocatalyst level. The results revealed the stepwise heterogeneous electrocatalytic responses of single cobalt hydroxide nanoplates and the corresponding valence state changes.
JOURNAL OF THE AMERICAN CHEMICAL SOCIETY
(2023)
Article
Materials Science, Multidisciplinary
Nada Alfryyan, Muhammad Saqib, Saman Ali, Tayyaba Mubashir, Mudassir Hussain Tahir, Z. A. Alrowaili, M. S. Al-Buriahi
Summary: Near-infrared organic semiconductors have unique characteristics that make them attractive for photodetector applications. However, selecting the right organic semiconductor material can be challenging. The combination of computer science, artificial intelligence, and traditional synthetic methods can accelerate the development of high-performance photodetector materials. Machine-learning models and advanced screening technologies can be used to predict and evaluate the properties of potential candidates. The findings show that machine-learning is an effective method for predicting the characteristics of photodetectors, with a potential impact on various applications.
MATERIALS TODAY COMMUNICATIONS
(2023)
Article
Chemistry, Multidisciplinary
Jiaxin Mao, Guopeng Li, Muhammad Saqib, Jiantie Xu, Rui Hao
Summary: The development of zinc-air batteries is crucial for practical applications such as smart grids and electric vehicles. However, the formation of isolated zinc on the anode surface can lead to performance deterioration, especially under fast charging/discharging conditions. Therefore, it is important to understand the formation mechanism and its relationship with electrochemical performance.
Article
Chemistry, Physical
Sirinya Ukasi, Paritta Jutapukti, Chiranicha Ninthub, Nattapong Pinpru, Phakkhananan Pakawanit, Wanwilai Vittayakorn, Satana Pongampai, Naratip Vittayakorn, Thitirat Charoonsuk
Summary: This study explores the enhancement of electrical output of flexible hybrid piezoelectric-triboelectric nanogenerators by incorporating gamma-glycine into fully organic composites. The research demonstrates the importance of optimized concentrations of gamma-glycine and chitosan in achieving superior performance. The study identifies the critical content of gamma-glycine that leads to the highest output signal, and provides theoretical explanations for this observation.
Article
Chemistry, Physical
Yoonsang Ra, Yu-seop Kim, Seonmo Yang, Namgyu Kang, Gyuwon Oh, Chungyeon Cho, Sangmin Lee, Dongwhi Choi
Summary: In this study, a portable energy harvester (STEP) was proposed to drive various functional LEDs using biomechanical energy. The roles and functionalities of a triboelectric nanogenerator (TENG) and electromagnetic generator (EMG) in the hybrid energy harvester were experimentally demonstrated, and the necessity of hybridization for LED-involved devices was described. The STEP showed promising potential as an effective energy supply strategy for various functional LEDs in related industries.
Article
Chemistry, Physical
Dae Sol Kong, Kyung Hoon Kim, Ying Chieh Hu, Jong Hun Kim, Inseo Kim, Jeongwan Lee, Joonhyuk Lee, Won Hyuk Shon, Hanjin Yoo, Chul-Un Ro, Seungsu Lee, Hyoungjeen Jeen, Minbaek Lee, Minseok Choi, Jong Hoon Jung
Summary: With the rapid development of the Internet of Things and artificial intelligence, smart home has emerged to fulfill the security, convenience, and energy-saving issues of modern life. A flexoelectric mica crystal is used to augment the finger touch-driven triboelectric output for operating a wireless and multichannel smart home controller. This work provides important ingredients for enhancing triboelectric output and realizing a convenient, multifunctional, cost-effective, and adaptable smart home control system without batteries.
Article
Chemistry, Physical
Yi Han, Fang Wu, Xiaozhen Du, Zihao Li, Haixiang Chen, Dongxing Guo, Junlei Wang, Hong Yu
Summary: This paper presents a novel type of triboelectric nanogenerator that utilizes wind energy, with a Y-type bluff body to enhance vibration and output power. The application of this generator successfully provides power for a wireless temperature and humidity sensor.
Article
Chemistry, Physical
Wen Zhang, Fangyuan Cheng, Miao Chang, Yue Xu, Yuyu Li, Shixiong Sun, Liang Wang, Leimin Xu, Qing Li, Chun Fang, Meng Wang, Yuhao Lu, Jiantao Han, Yunhui Huang
Summary: This study successfully induced the formation of a uniform and robust CEI by constructing ZrO2 nano-rivets on the surface of LCO, stabilizing the surface of high-voltage LCO and facilitating lithium-ion diffusion.
Article
Chemistry, Physical
Karl P. Olson, Laurence D. Marks
Summary: This paper investigates the role of contacting shapes in triboelectricity and provides scaling rules for designing energy harvesting devices.
Article
Chemistry, Physical
Jong-An Choi, Jingu Jeong, Mingyu Kang, Hee-Jin Ko, Taehoon Kim, Keun Park, Jongbaeg Kim, Soonjae Pyo
Summary: Wind-driven triboelectric nanogenerators (WTENGs) are a promising emerging technology for sustainable wind energy harvesting, offering high output performance, lightweight design, and compact dimensions. This study introduces an innovative WTENG design that leverages a rolling-based mechanism to achieve efficient omnidirectional wind energy harvesting.
Article
Chemistry, Physical
Liwei Dong, Qian Tang, Chaoyang Zhao, Guobiao Hu, Shuai Qu, Zicheng Liu, Yaowen Yang
Summary: This paper proposes a novel hybrid scheme for flag-type nanogenerators (FNGs) that enhances their performance and broadens their operational wind speed ranges by harnessing the synergistic potential of two aerodynamic behaviors. The proposed flag-type triboelectric-piezoelectric hybrid nanogenerator (FTPNG) integrates flapping piezoelectric flags (PEFs) and a fluttering triboelectric flag (TEF). The FTPNG achieves significant power generation and a broad wind speed range, surpassing other FNGs, making it suitable for various self-powered systems and Internet of Things applications.
Review
Chemistry, Physical
Yunmeng Li, Xin Liu, Zewei Ren, Jianjun Luo, Chi Zhang, Changyong (Chase) Cao, Hua Yuan, Yaokun Pang
Summary: The demand for green and eco-friendly materials is growing due to increasing environmental concerns related to traditional petroleum-based products. Marine biomaterials have emerged as a promising alternative, thanks to their abundant availability, biocompatibility, biodegradability, and low toxicity. In this review, we discuss the development and applications of triboelectric nanogenerators (TENGs) based on marine biomaterials. The operational modes, foundational principles, intrinsic qualities, and advantages of marine biomaterials commonly used in TENG designs are highlighted. Approaches to enhance the efficacy of TENGs derived from marine biomaterials are also discussed, along with documented applications from existing literature. Furthermore, the existing challenges and future directions in marine biomaterial-inspired TENGs are explored.
Article
Chemistry, Physical
Matthew P. Wells, Adam J. Lovett, Yizhi Zhang, Zhongxia Shang, Kosova Kreka, Babak Bakhit, Haiyan Wang, Albert Tarancon, Judith L. MacManus-Driscoll
Summary: Reversible solid oxide cells (rSOCs) offer a promising solution to efficient energy conversion, but have been limited in portable power and electrolysis applications due to excessive polarisation resistance of the oxygen electrode at low temperatures. This study demonstrates the growth of symmetric and complete rSOC structures with reduced polarisation resistance by tuning oxygen vacancy through annealing, providing a promising route towards high-performance rSOC devices for portable power applications.
Article
Chemistry, Physical
Kangkang Bao, Minghui Wang, Yue Zheng, Panpan Wang, Liwen Yang, Yang Jin, Hui Wu, Bin Sun
Summary: This study utilizes ethanol as an electrolyte additive to modulate the migration of zinc ions and the surface structure of zinc anodes, resulting in improved capacity retention and cycle life of zinc-based aqueous batteries.
Article
Chemistry, Physical
Haichao Yang, Wensi Cai, Ming Wang, Saif M. H. Qaid, Zhiyuan Xu, Huaxin Wang
Summary: The introduction of sodium alginate (SA) into perovskite solar cells improves the carrier dynamics, stability, and performance by inhibiting nonradiative recombination and retarded charge dynamics.
Article
Chemistry, Physical
Cuirong Zhang, Mingyuan Wei, Zihan Chen, Wansheng Lin, Shifan Yu, Yijing Xu, Chao Wei, Jinwei Zhang, Ziquan Guo, Yuanjin Zheng, Qingliang Liao, Xinqin Liao, Zhong Chen
Summary: Artificial Intelligence of Things (AIoT) aims to establish smart and informative interactions between humans and devices. However, common pixelated sensing arrays in AIoT applications present problems such as hard and brittle devices, complex structures, and low precision. This article introduces an innovative solution called the all-in-one intelligent semitransparent interactive nerve patch (AISI nerve patch), which integrates sensing, recognition, and transmission functionalities into a thin and flexible patch. The AISI nerve patch is semitransparent, allowing for accurate identification without affecting aesthetics, and it can be attached to any curved surface for intelligent and interactive applications. With rapid response time and high precision recognition, it enables the integration of artificial intelligence and achieves high recognition accuracy for further development of AIoT.
Article
Chemistry, Physical
Youcun Bai, Heng Zhang, Huijun Song, Chong Zhu, Lijin Yan, Qin Hu, Chang Ming Li
Summary: A novel stainless-steel supported lattice-mismatched V-S-Se layered compound with high selenium vacancy was synthesized by adjusting the molar ratio of sulfur to selenium. The introduction of selenium vacancies created additional redox peaks of sulfur, providing more mass transport channels and active sites for zinc ions. The specific capacity and cycle stability of the electrode were significantly improved, demonstrating great potential for practical applications and providing insights into the effects of defects on battery performance.
Article
Chemistry, Physical
Yao Xiao, Puxian Xiong, Yakun Le, Zhenjie Lun, Kang Chen, Zhiduo Wang, Peishan Shao, Zhicong Chen, Dongdan Chen, Zhongmin Yang
Summary: This study successfully synthesized a material with multi-stimulus-responsive luminescence and confirmed the internal relationship between luminescence and defects by regulating the distribution and depth of defects. The dynamic process of multi-stimulus-responsive luminescence was validated by experimental and calculation results.