{"results":[{"id":"doaj_10.1016/j.rsurfi.2025.100675","title":"Synthesis and surface characterization of boehmite and activated alumina coatings on FeCrAl sintered fibers","authors":[{"name":"Osama M. Ibrahim"},{"name":"Baqer S. Habib"},{"name":"Abdullah A. Alazemi"},{"name":"Nawaf F. Aljuwayhel"}],"abstract":"This study investigates the development of high-surface-area boehmite (γ-AlO(OH)) and activated alumina (γ-Al2O3) coatings on FeCrAl sintered fibers. The coatings were synthesized using colloidal aluminum oxide hydroxide (AlO(OH)) nanoparticles to increase the fibers' active surface area and enhance their performance as filtering media and catalyst substrates. Detailed methodologies for sample preparation, coating deposition, and material characterization are presented. The specific surface areas of the powders and coated fibers were determined using the Brunauer–Emmett–Teller (BET) method. In powder form, boehmite and activated alumina exhibited surface areas of 263 m2/g and 176 m2/g, respectively, after heat treatments at 300 °C and 500 °C for 2 h. Following deposition onto FeCrAl fibers, the coatings achieved surface areas of 134 m2/g for boehmite and 145 m2/g for activated alumina. Although the coated layers exhibited reduced surface areas compared to their powder forms, they significantly improved the surface characteristics of the FeCrAl substrates. This work introduces a novel coating approach, involving a thin layer of boehmite and activated alumina, on FeCrAl sintered fibers, achieving substantial surface area enhancement through controlled thermal processing. Comprehensive structural and surface characterization (TGA, XRD, XRF, BET, SEM, and EDS) established strong correlations among phase composition, morphology, and coating adhesion, revealing superior bonding for activated alumina. These innovations highlight the potential of the developed coatings to advance next-generation FeCrAl-based materials for applications in adsorption, filtration, and catalysis.","source":"DOAJ","year":2026,"language":"","subjects":["Industrial electrochemistry"],"doi":"10.1016/j.rsurfi.2025.100675","url":"http://www.sciencedirect.com/science/article/pii/S2666845925002624","is_open_access":true,"published_at":"","score":70},{"id":"doaj_10.1002/celc.202500476","title":"Unraveling Oxygen Evolution Reaction Enhancement Mechanisms: From Internal to External Fields of Electrolyzers","authors":[{"name":"Qiwei Zhang"},{"name":"Yicheng Wang"},{"name":"Jiayuan Wei"},{"name":"Yazhi Wei"},{"name":"Bin Chen"},{"name":"Zehui Yang"}],"abstract":"Hydrogen energy, as a pivotal secondary energy carrier for the future, plays a core role in achieving global carbon neutrality goals through its green production. Currently, water electrolysis for hydrogen production, particularly alkaline water electrolysis, is regarded as the primary pathway for green hydrogen generation due to its technological maturity and cost‐effectiveness. However, this technology still faces challenges such as low operating current density, high energy consumption, and the difficulty in balancing the activity and stability of nonprecious metal catalysts under high current densities. The design of traditional electrocatalysts has reached a bottleneck, making breakthrough progress difficult. Therefore, this review focuses on internal and external field‐assisted water electrolysis strategies, systematically summarizing the latest research advances in field regulation for enhancing electrocatalytic performance. These strategies provide innovative approaches to addressing the energy efficiency and cost challenges in water electrolysis for hydrogen production, demonstrating the significant potential of field regulation in driving the development of next‐generation, high‐performance, and highly stable water electrolysis technologies.","source":"DOAJ","year":2026,"language":"","subjects":["Industrial electrochemistry","Chemistry"],"doi":"10.1002/celc.202500476","url":"https://doi.org/10.1002/celc.202500476","is_open_access":true,"published_at":"","score":70},{"id":"doaj_10.3390/batteries12030082","title":"Improvement of Cycling Stability of Core–Shell Structured Ni-Rich NMC Cathodes by Using a Tungsten Oxide Stabilization Interlayer","authors":[{"name":"Bilal Tasdemir"},{"name":"Svitlana Krüger"},{"name":"Pinank Sohagiya"},{"name":"Apurba Ray"},{"name":"Bilge Saruhan"}],"abstract":"The growing demand for higher-energy lithium-ion batteries, encompassing consumer electronics, stationary grid storage, and electric mobility to specialized sectors like aerospace, medical devices, and industrial robotics, requires cathode materials that offer higher capacity while remaining cost-effective. This trend has intensified the development of nickel-rich LiNi\u003csub\u003e1−x−y\u003c/sub\u003eMn\u003csub\u003ex\u003c/sub\u003eCo\u003csub\u003ey\u003c/sub\u003eO\u003csub\u003e2\u003c/sub\u003e (NMC) systems. However, high-Ni NMCs such as LiNi\u003csub\u003e0.9\u003c/sub\u003eMn\u003csub\u003e0.05\u003c/sub\u003eCo\u003csub\u003e0.05\u003c/sub\u003eO\u003csub\u003e2\u003c/sub\u003e (NMC90) suffer from limited thermal and cycling stability. Core–shell architectures using LiNi\u003csub\u003e0.6\u003c/sub\u003eMn\u003csub\u003e0.2\u003c/sub\u003eCo\u003csub\u003e0.2\u003c/sub\u003eO\u003csub\u003e2\u003c/sub\u003e (NMC622) as a shell can partially alleviate these drawbacks, but structural degradation caused by interdiffusion between the core and shell persists as a major challenge. This study investigates whether a tungsten oxide interlayer can act as a protective barrier that suppresses interdiffusion, stabilizes the crystal structure, and improves long-term electrochemical performance. In this work, NMC cathode powders were synthesized via a one-pot oxalate co-precipitation route, followed by structural characterization using X-ray diffraction (XRD), scanning electron microscopy (SEM), X-ray photoelectron spectroscopy (XPS), and ion scattering spectroscopy (ISS). Electrochemical performance, including capacity retention, cycling stability, and internal resistance, was evaluated through galvanostatic charge–discharge (GCD) testing and electrochemical impedance spectroscopy (EIS). The core–shell configuration delivered higher specific discharge capacity compared to the individually synthesized core-only and shell-only reference materials, and the incorporation of a tungsten oxide interlayer resulted in a twofold increase in cycle life. These results demonstrate that tungsten oxide effectively enhances cycling stability by inhibiting core–shell interdiffusion, offering a promising pathway toward more durable high-Ni NMC cathodes.","source":"DOAJ","year":2026,"language":"","subjects":["Production of electric energy or power. Powerplants. Central stations","Industrial electrochemistry"],"doi":"10.3390/batteries12030082","url":"https://www.mdpi.com/2313-0105/12/3/82","is_open_access":true,"published_at":"","score":70},{"id":"arxiv_2602.19603","title":"Traffic-Aware Configuration of OPC UA PubSub in Industrial Automation Networks","authors":[{"name":"Kasra Ekrad"},{"name":"Bjarne Johansson"},{"name":"Inés Alvarez Vadillo"},{"name":"Saad Mubeen"},{"name":"Mohammad Ashjaei"}],"abstract":"Interoperability across industrial automation systems is a cornerstone of Industry 4.0. To address this need, the OPC Unified Architecture (OPC UA) Publish-Subscribe (PubSub) model offers a promising mechanism for enabling efficient communication among heterogeneous devices. PubSub facilitates resource sharing and communication configuration between devices, but it lacks clear guidelines for mapping diverse industrial traffic types to appropriate PubSub configurations. This gap can lead to misconfigurations that degrade network performance and compromise real-time requirements. This paper proposes a set of guidelines for mapping industrial traffic types, based on their timing and quality-of-service specifications, to OPC UA PubSub configurations. The goal is to ensure predictable communication and support real-time performance in industrial networks. The proposed guidelines are evaluated through an industrial use case that demonstrates the impact of incorrect configuration on latency and throughput. The results underline the importance of traffic-aware PubSub configuration for achieving interoperability in Industry 4.0 systems.","source":"arXiv","year":2026,"language":"en","subjects":["cs.NI"],"url":"https://arxiv.org/abs/2602.19603","pdf_url":"https://arxiv.org/pdf/2602.19603","is_open_access":true,"published_at":"2026-02-23T08:45:32Z","score":70},{"id":"ss_a08cd934990daba55bf3603944595167af85adc1","title":"Electrochemical Reconstruction of Defect Engineered MOFs: A Dynamic Frontier in Electrochemistry","authors":[{"name":"Tingting Chen"},{"name":"Zhicheng Tan"},{"name":"Hengyue Xu"},{"name":"Jiaqi Zhang"},{"name":"Long Chen"},{"name":"Zhongjie Huang"},{"name":"Huan Pang"}],"abstract":"Recent advances in functional materials and characterization techniques significantly deepen the understanding of the dynamic electrochemical reconstruction processes in metal–organic frameworks (MOFs), revealing their critical role in unlocking hidden catalytic active sites and reaction pathways. This review emphasizes how defect engineering enhances the reconstruction behavior and electrocatalytic performance of MOF precatalysts. Design strategies for introducing defects are discussed, the mechanisms underlying electrochemical reconstruction are examined, and the application of advanced in situ spectroscopic and electron microscopic techniques for monitoring these dynamic processes is highlighted. Representative examples of defect‐engineered MOFs are presented for electrocatalytic reactions (both oxidation and reduction) and energy storage applications, along with prospects for industrial‐scale synthesis and implementation. Then, challenges and future research directions are examined. By establishing a clear link between defect control, reconstruction dynamics, and catalytic functionality, this review provides valuable insights for the rational design of high‐performance electrocatalysts and electrodes, contributing to the development of next‐generation energy technologies.","source":"Semantic Scholar","year":2025,"language":"en","subjects":null,"doi":"10.1002/adfm.202517710","url":"https://www.semanticscholar.org/paper/a08cd934990daba55bf3603944595167af85adc1","is_open_access":true,"citations":9,"published_at":"","score":69.27000000000001},{"id":"ss_bab9772b8283a32568b99b4afc77a69a6913db28","title":"Circular Economy Electrochemistry: Creating Additive Manufacturing Feedstocks for Caffeine Detection from Post-Industrial Coffee Pod Waste","authors":[{"name":"E. Sigley"},{"name":"Cristiane Kalinke"},{"name":"R. Crapnell"},{"name":"Matthew J. Whittingham"},{"name":"R. Williams"},{"name":"Edmund M. Keefe"},{"name":"B. Janegitz"},{"name":"J. Bonacin"},{"name":"C. Banks"}],"abstract":"The recycling of post-industrial waste poly(lactic acid) (PI-PLA) from coffee machine pods into electroanalytical sensors for the detection of caffeine in real tea and coffee samples is reported herein. The PI-PLA is transformed into both nonconductive and conductive filaments to produce full electroanalytical cells, including additively manufactured electrodes (AMEs). The electroanalytical cell was designed utilizing separate prints for the cell body and electrodes to increase the recyclability of the system. The cell body made from nonconductive filament was able to be recycled three times before the feedstock-induced print failure. Three bespoke formulations of conductive filament were produced, with the PI-PLA (61.62 wt %), carbon black (CB, 29.60 wt %), and poly(ethylene succinate) (PES, 8.78 wt %) chosen as the most suitable for use due to its equivalent electrochemical performance, lower material cost, and improved thermal stability compared to the filaments with higher PES loading and ability to be printable. It was shown that this system could detect caffeine with a sensitivity of 0.055 ± 0.001 μA μM–1, a limit of detection of 0.23 μM, a limit of quantification of 0.76 μM, and a relative standard deviation of 3.14% after activation. Interestingly, the nonactivated 8.78% PES electrodes produced significantly better results in this regard than the activated commercial filament toward the detection of caffeine. The activated 8.78% PES electrode was shown to be able to detect the caffeine content in real and spiked Earl Grey tea and Arabica coffee samples with excellent recoveries (96.7–102%). This work reports a paradigm shift in the way AM, electrochemical research, and sustainability can synergize and feed into part of a circular economy, akin to a circular economy electrochemistry.","source":"Semantic Scholar","year":2023,"language":"en","subjects":["Medicine"],"doi":"10.1021/acssuschemeng.2c06514","url":"https://www.semanticscholar.org/paper/bab9772b8283a32568b99b4afc77a69a6913db28","pdf_url":"https://doi.org/10.1021/acssuschemeng.2c06514","is_open_access":true,"citations":74,"published_at":"","score":69.22},{"id":"doaj_10.1002/celc.202500045","title":"Enhanced Reversibility of Li‐Rich Binary Oxide Cathodes through Synergistic Interfacial Regulation for Improved Charge Transfer Kinetics at High Depth of Charge/Discharge","authors":[{"name":"Qing Zhang"},{"name":"Jiaoyang Cheng"},{"name":"Jinxin Cao"},{"name":"Fang Lian"}],"abstract":"Lithium‐rich manganese‐based oxides are accepted as a promising cathode material for high‐energy density batteries. However, they suffer from irreversible structural transformations and detrimental interfacial reactions, especially under deep charge/discharge states, causing severe voltage fade and capacity degradation. Herein, Li‐rich binary oxide Li1.16(Ni0.25Mn0.75)0.84O2 is proposed to dual‐coated by superionic conductor Li1.4Al0.4Ti1.6(PO4)3 and conductive polymer polyaniline, displaying nearly two orders of magnitude promotion for lithium ion transmission coefficient (10−9.5 cm2 S−1) at the end of charge/discharge. COMSOL Multiphysics simulation indicates the synergistic interfacial coating elevates the homogeneous distribution of lithium–ions and current density, improving utilization rates of lithium–ions, mitigating irreversible structural transformation, and suppressing the dissolution of transition metal ions and side reactions between the cathode and electrolyte. Therefore, Li1.16(Ni0.25Mn0.75)0.84O2 with the significantly promoted charge transfer kinetics exhibits greatly strengthened specific capacity of 293.6 mAh g−1 at 20 mA g−1 within the range of 2.0–4.8 V, with an increased initial Coulombic efficiency of 84.42% and capacity retention of 88.94% in 150 cycles, alongside with a low voltage decay (0.23 V within 150 cycles) and a high rate capability of 160 mAh g−1 at 5 C.","source":"DOAJ","year":2025,"language":"","subjects":["Industrial electrochemistry","Chemistry"],"doi":"10.1002/celc.202500045","url":"https://doi.org/10.1002/celc.202500045","is_open_access":true,"published_at":"","score":69},{"id":"arxiv_2511.11604","title":"Enhancing failure prediction in nuclear industry: Hybridization of knowledge- and data-driven techniques","authors":[{"name":"Amaratou Mahamadou Saley"},{"name":"Thierry Moyaux"},{"name":"Aïcha Sekhari"},{"name":"Vincent Cheutet"},{"name":"Jean-Baptiste Danielou"}],"abstract":"The convergence of the Internet of Things (IoT) and Industry 4.0 has significantly enhanced data-driven methodologies within the nuclear industry, notably enhancing safety and economic efficiency. This advancement challenges the precise prediction of future maintenance needs for assets, which is crucial for reducing downtime and operational costs. However, the effectiveness of data-driven methodologies in the nuclear sector requires extensive domain knowledge due to the complexity of the systems involved. Thus, this paper proposes a novel predictive maintenance methodology that combines data-driven techniques with domain knowledge from a nuclear equipment. The methodological originality of this paper is located on two levels: highlighting the limitations of purely data-driven approaches and demonstrating the importance of knowledge in enhancing the performance of the predictive models. The applicative novelty of this work lies in its use within a domain such as a nuclear industry, which is highly restricted and ultrasensitive due to security, economic and environmental concerns. A detailed real-world case study which compares the current state of equipment monitoring with two scenarios, demonstrate that the methodology significantly outperforms purely data-driven methods in failure prediction. While purely data-driven methods achieve only a modest performance with a prediction horizon limited to 3 h and a F1 score of 56.36%, the hybrid approach increases the prediction horizon to 24 h and achieves a higher F1 score of 93.12%.","source":"arXiv","year":2025,"language":"en","subjects":["cs.LG","cs.CY"],"doi":"10.1016/j.cie.2025.111387","url":"https://arxiv.org/abs/2511.11604","pdf_url":"https://arxiv.org/pdf/2511.11604","is_open_access":true,"published_at":"2025-11-01T16:52:08Z","score":69},{"id":"ss_160d29356f49ba0f4146ce195c2d7320aa90b87d","title":"Single Atom Catalyst for Nitrate‐to‐Ammonia Electrochemistry","authors":[{"name":"Suvani Subhadarshini"},{"name":"M. Pumera"}],"abstract":"Abstract Various life forms suffer from the negative effects of nitrate when it accumulates in water bodies, which is a major concern in the present day. The removal of nitrate from water bodies is a critical challenge, and the most effective method to achieve that is to change it into ammonia. Ammonia is a clean energy source and a vital input for the fertilizer industry. The Haber–Bosch process, which dominates the industrial production of ammonia, requires a lot of energy. A more sustainable way to produce ammonia is to use nitrate‐contaminated water and reduce it to ammonia through electrocatalysis. This review is constituted of amalgamated articles featuring unique conditions that affect the productivity and activity of the transition metal single atom catalyst (TNMSAC) for the electrocatalytic nitrate reduction to ammonia (NRA) reaction. It explores factors such as nitrate ion adsorption, the characteristics of the central electroactive transition metal, the type of coordinating atoms, the impact of potential on stability, and the interplay among single atoms on the selectivity and yield of ammonia gas. In addition, this review also covers advanced concepts such as dual‐atom catalysts, dual single atom catalysts, and single atom alloys. The review will provide valuable guidance for enhanced comprehension and strategic designing of TNMSAC for the electrocatalytic conversion of NRA, which will contribute to achieving a green ammonia economy.","source":"Semantic Scholar","year":2024,"language":"en","subjects":["Medicine"],"doi":"10.1002/smll.202403515","url":"https://www.semanticscholar.org/paper/160d29356f49ba0f4146ce195c2d7320aa90b87d","pdf_url":"https://doi.org/10.1002/smll.202403515","is_open_access":true,"citations":24,"published_at":"","score":68.72},{"id":"crossref_10.1016/j.coelec.2023.101438","title":"Industrial CO2 electroreduction to ethylene: Main technical challenges","authors":[{"name":"Moritz W. Schreiber"}],"abstract":"","source":"CrossRef","year":2024,"language":"en","subjects":null,"doi":"10.1016/j.coelec.2023.101438","url":"https://doi.org/10.1016/j.coelec.2023.101438","is_open_access":true,"citations":21,"published_at":"","score":68.63},{"id":"ss_bfd8d5bff4904cecf8e6a4a14076647dd0eb2493","title":"The Resurgence of Hydrogen Depolarized Anodes: A Catalyst for Change in Industrial Electrochemistry","authors":[{"name":"Bilen Akuzum"},{"name":"Lukas Hackl"},{"name":"S. Bandaru"},{"name":"Garrett Pohlman"}],"abstract":"This presentation delves into the remarkable history of Hydrogen Depolarized Anodes (HDAs) and their relevance to modern industrial electrochemistry. HDAs were originally developed in the early 1970s, but their use has been confined to fuel cell technology and power generation. In the wake of a growing green hydrogen economy and the escalating price of precious metal catalysts, this technology is now emerging as a useful tool to boost the energy efficiency and lower both capital and operational costs of electrified chemical manufacturing processes. Our discussion recounts the evolution of HDA technology, from its conceptual beginnings to its current role as an innovative solution in electrochemical processes. The recent renaissance of HDAs is driven largely by economic and environmental factors. As chemical industries strive to electrify their processes, they also grapple with the rising cost of conventional anode materials. The increasing affordability and availability of hydrogen presents HDAs as a viable and efficient alternative. This shift is not just about cost-saving; it's about embracing a technology that aligns with the principles of sustainability and circular economy. We will explore various applications where HDAs are making a significant impact, such as in the manufacturing of acids and bases, the production of metals such as iron, copper, and zinc, and more experimental processes such as cement production. These examples not only demonstrate the versatility of HDAs, but also underscore their potential in achieving higher energy efficiency than conventional technologies and reducing environmental footprint of a range of industrial operations. Furthermore, our talk will illuminate how HDAs are a stepping stone towards a broader adoption of hydrogen as a cornerstone of industrial electrochemistry. The implementation of HDA technology is more than an innovation; it's a transformative step forward, signaling a new era in chemical manufacturing where sustainability and efficiency go hand in hand.","source":"Semantic Scholar","year":2024,"language":"en","subjects":null,"doi":"10.1149/ma2024-01271444mtgabs","url":"https://www.semanticscholar.org/paper/bfd8d5bff4904cecf8e6a4a14076647dd0eb2493","is_open_access":true,"published_at":"","score":68},{"id":"arxiv_2404.00797","title":"Metarobotics for Industry and Society: Vision, Technologies, and Opportunities","authors":[{"name":"Eric Guiffo Kaigom"}],"abstract":"Metarobotics aims to combine next generation wireless communication, multi-sense immersion, and collective intelligence to provide a pervasive, itinerant, and non-invasive access and interaction with distant robotized applications. Industry and society are expected to benefit from these functionalities. For instance, robot programmers will no longer travel worldwide to plan and test robot motions, even collaboratively. Instead, they will have a personalized access to robots and their environments from anywhere, thus spending more time with family and friends. Students enrolled in robotics courses will be taught under authentic industrial conditions in real-time. This paper describes objectives of Metarobotics in society, industry, and in-between. It identifies and surveys technologies likely to enable their completion and provides an architecture to put forward the interplay of key components of Metarobotics. Potentials for self-determination, self-efficacy, and work-life-flexibility in robotics-related applications in Society 5.0, Industry 4.0, and Industry 5.0 are outlined.","source":"arXiv","year":2024,"language":"en","subjects":["cs.RO","cs.CY","cs.LG","eess.SY"],"doi":"10.1109/TII.2023.3337380","url":"https://arxiv.org/abs/2404.00797","pdf_url":"https://arxiv.org/pdf/2404.00797","is_open_access":true,"published_at":"2024-03-31T20:59:58Z","score":68},{"id":"arxiv_2406.12732","title":"Automatic generation of insights from workers' actions in industrial workflows with explainable Machine Learning","authors":[{"name":"Francisco de Arriba-Pérez"},{"name":"Silvia García-Méndez"},{"name":"Javier Otero-Mosquera"},{"name":"Francisco J. González-Castaño"},{"name":"Felipe Gil-Castiñeira"}],"abstract":"New technologies such as Machine Learning (ML) gave great potential for evaluating industry workflows and automatically generating key performance indicators (KPIs). However, despite established standards for measuring the efficiency of industrial machinery, there is no precise equivalent for workers' productivity, which would be highly desirable given the lack of a skilled workforce for the next generation of industry workflows. Therefore, an ML solution combining data from manufacturing processes and workers' performance for that goal is required. Additionally, in recent times intense effort has been devoted to explainable ML approaches that can automatically explain their decisions to a human operator, thus increasing their trustworthiness. We propose to apply explainable ML solutions to differentiate between expert and inexpert workers in industrial workflows, which we validate at a quality assessment industrial workstation. Regarding the methodology used, input data are captured by a manufacturing machine and stored in a NoSQL database. Data are processed to engineer features used in automatic classification and to compute workers' KPIs to predict their level of expertise (with all classification metrics exceeding 90 %). These KPIs, and the relevant features in the decisions are textually explained by natural language expansion on an explainability dashboard. These automatic explanations made it possible to infer knowledge from expert workers for inexpert workers. The latter illustrates the interest of research in self-explainable ML for automatically generating insights to improve productivity in industrial workflows.","source":"arXiv","year":2024,"language":"en","subjects":["cs.AI","cs.LG"],"doi":"10.1109/MIE.2023.3284203","url":"https://arxiv.org/abs/2406.12732","pdf_url":"https://arxiv.org/pdf/2406.12732","is_open_access":true,"published_at":"2024-06-18T15:55:11Z","score":68},{"id":"arxiv_2405.10655","title":"Macroeconomic Factors, Industrial Indexes and Bank Spread in Brazil","authors":[{"name":"Carlos Alberto Durigan Junior"},{"name":"André Taue Saito"},{"name":"Daniel Reed Bergmann"},{"name":"Nuno Manoel Martins Dias Fouto"}],"abstract":"The main objective of this paper is to Identify which macroe conomic factors and industrial indexes influenced the total Brazilian banking spread between March 2011 and March 2015. This paper considers subclassification of industrial activities in Brazil. Monthly time series data were used in multivariate linear regression models using Eviews (7.0). Eighteen variables were considered as candidates to be determinants. Variables which positively influenced bank spread are; Default, IPIs (Industrial Production Indexes) for capital goods, intermediate goods, du rable consumer goods, semi-durable and non-durable goods, the Selic, GDP, unemployment rate and EMBI +. Variables which influence negatively are; Consumer and general consumer goods IPIs, IPCA, the balance of the loan portfolio and the retail sales index. A p-value of 05% was considered. The main conclusion of this work is that the progress of industry, job creation and consumption can reduce bank spread. Keywords: Credit. Bank spread. Macroeconomics. Industrial Production Indexes. Finance.","source":"arXiv","year":2024,"language":"en","subjects":["econ.EM"],"url":"https://arxiv.org/abs/2405.10655","pdf_url":"https://arxiv.org/pdf/2405.10655","is_open_access":true,"published_at":"2024-05-17T09:41:57Z","score":68},{"id":"arxiv_2406.11507","title":"Prior Normality Prompt Transformer for Multi-class Industrial Image Anomaly Detection","authors":[{"name":"Haiming Yao"},{"name":"Yunkang Cao"},{"name":"Wei Luo"},{"name":"Weihang Zhang"},{"name":"Wenyong Yu"},{"name":"Weiming Shen"}],"abstract":"Image anomaly detection plays a pivotal role in industrial inspection. Traditional approaches often demand distinct models for specific categories, resulting in substantial deployment costs. This raises concerns about multi-class anomaly detection, where a unified model is developed for multiple classes. However, applying conventional methods, particularly reconstruction-based models, directly to multi-class scenarios encounters challenges such as identical shortcut learning, hindering effective discrimination between normal and abnormal instances. To tackle this issue, our study introduces the Prior Normality Prompt Transformer (PNPT) method for multi-class image anomaly detection. PNPT strategically incorporates normal semantics prompting to mitigate the \"identical mapping\" problem. This entails integrating a prior normality prompt into the reconstruction process, yielding a dual-stream model. This innovative architecture combines normal prior semantics with abnormal samples, enabling dual-stream reconstruction grounded in both prior knowledge and intrinsic sample characteristics. PNPT comprises four essential modules: Class-Specific Normality Prompting Pool (CS-NPP), Hierarchical Patch Embedding (HPE), Semantic Alignment Coupling Encoding (SACE), and Contextual Semantic Conditional Decoding (CSCD). Experimental validation on diverse benchmark datasets and real-world industrial applications highlights PNPT's superior performance in multi-class industrial anomaly detection.","source":"arXiv","year":2024,"language":"en","subjects":["cs.CV"],"url":"https://arxiv.org/abs/2406.11507","pdf_url":"https://arxiv.org/pdf/2406.11507","is_open_access":true,"published_at":"2024-06-17T13:10:04Z","score":68},{"id":"arxiv_2408.15113","title":"AnomalousPatchCore: Exploring the Use of Anomalous Samples in Industrial Anomaly Detection","authors":[{"name":"Mykhailo Koshil"},{"name":"Tilman Wegener"},{"name":"Detlef Mentrup"},{"name":"Simone Frintrop"},{"name":"Christian Wilms"}],"abstract":"Visual inspection, or industrial anomaly detection, is one of the most common quality control types in manufacturing. The task is to identify the presence of an anomaly given an image, e.g., a missing component on an image of a circuit board, for subsequent manual inspection. While industrial anomaly detection has seen a surge in recent years, most anomaly detection methods still utilize knowledge only from normal samples, failing to leverage the information from the frequently available anomalous samples. Additionally, they heavily rely on very general feature extractors pre-trained on common image classification datasets. In this paper, we address these shortcomings and propose the new anomaly detection system AnomalousPatchCore~(APC) based on a feature extractor fine-tuned with normal and anomalous in-domain samples and a subsequent memory bank for identifying unusual features. To fine-tune the feature extractor in APC, we propose three auxiliary tasks that address the different aspects of anomaly detection~(classification vs. localization) and mitigate the effect of the imbalance between normal and anomalous samples. Our extensive evaluation on the MVTec dataset shows that APC outperforms state-of-the-art systems in detecting anomalies, which is especially important in industrial anomaly detection given the subsequent manual inspection. In detailed ablation studies, we further investigate the properties of our APC.","source":"arXiv","year":2024,"language":"en","subjects":["cs.CV"],"url":"https://arxiv.org/abs/2408.15113","pdf_url":"https://arxiv.org/pdf/2408.15113","is_open_access":true,"published_at":"2024-08-27T14:51:34Z","score":68},{"id":"ss_7f22af843b850eb9fdaa096d3414a90e0d2f8e66","title":"Electro-Fermentation - Merging Electrochemistry with Fermentation in Industrial Applications.","authors":[{"name":"A. Schievano"},{"name":"T. Pepè Sciarria"},{"name":"K. Vanbroekhoven"},{"name":"H. De Wever"},{"name":"S. Puig"},{"name":"Stephen J Andersen"},{"name":"K. Rabaey"},{"name":"D. Pant"}],"abstract":"","source":"Semantic Scholar","year":2016,"language":"en","subjects":["Chemistry","Medicine"],"doi":"10.1016/j.tibtech.2016.04.007","url":"https://www.semanticscholar.org/paper/7f22af843b850eb9fdaa096d3414a90e0d2f8e66","is_open_access":true,"citations":236,"published_at":"","score":67.08},{"id":"ss_64b0a662b68dafab19da4f9399d3ab20b8100c71","title":"Electrolytic production of aluminium as a case study for linking engineering and fundamental concepts in industrial electrochemistry","authors":[{"name":"Noelia A. Palacios"},{"name":"M. L. Vera"},{"name":"V. Flexer"}],"abstract":"","source":"Semantic Scholar","year":2023,"language":"en","subjects":null,"doi":"10.1007/s10008-023-05762-w","url":"https://www.semanticscholar.org/paper/64b0a662b68dafab19da4f9399d3ab20b8100c71","is_open_access":true,"citations":1,"published_at":"","score":67.03},{"id":"ss_5c1d5c1787019e4e705300ffeecb1ff42f93a2e3","title":"(Industrial Electrochemistry and Electrochemical Engineering Division H. H. Dow Memorial Student Achievement Award) Mechanistic Analysis of Interface Stability in Solid-State Batteries","authors":[{"name":"B. Vishnugopi"},{"name":"P. Mukherjee"}],"abstract":"Solid-state batteries (SSBs) utilizing lithium metal anodes are promising next-generation energy storage systems, capable of offering enhanced energy density and power density when compared to conventional lithium-ion batteries. However, the morphological instability of the lithium anode continues to be a major challenge, resulting in filamentous lithium growth and internal short circuit across a wide range of inorganic solid electrolytes. In addition, the formation and growth of interfacial voids during stripping is a critical mechanism that limits the rate performance of SSBs. A coupled set of electrochemical-transport-mechanics processes governs the dynamic evolution and stability of the solid electrolyte/lithium interface. This interaction is affected by various factors including the mechanical properties and microstructure of the solid electrolyte and lithium metal, external pressure, operating temperature, and interfacial heterogeneities. In this presentation, the competing nature of interfacial mechanisms including electrodissolution, lithium mechanics and lithium diffusion kinetics on the origin of voids during stripping will be discussed. The coupled electrochemical-mechanical processes governing the evolution of lithium filaments, especially driven by microstructural heterogeneities such as grain boundaries will be delineated. An analysis pertaining to the dependence of such failure mechanisms on the external temperature, temperature and current density will be presented. Lastly, the role of underlying electrochemical interactions at the solid-solid interface on the onset of thermal instability in SSBs will be evaluated.","source":"Semantic Scholar","year":2023,"language":"en","subjects":null,"doi":"10.1149/ma2023-0161039mtgabs","url":"https://www.semanticscholar.org/paper/5c1d5c1787019e4e705300ffeecb1ff42f93a2e3","is_open_access":true,"citations":1,"published_at":"","score":67.03},{"id":"doaj_10.1016/j.apsadv.2022.100358","title":"Rapid fabrication of CuMoO4 nanocomposites via electric field assisted pulsed-laser ablation in liquids for electrochemical hydrogen generation","authors":[{"name":"Chaudry Sajed Saraj"},{"name":"Subhash C. Singh"},{"name":"Gopal Verma"},{"name":"Amged Alquliah"},{"name":"Wei Li"},{"name":"Chunlei Guo"}],"abstract":"Transition–metal-doped electrocatalysts are considered as low-cost alternatives of Pt and RuO2 electrocatalysts for large scale electrochemical generations of hydrogen and oxygen, respectively. Although, chemical synthesis, typically adopted to produce these electrocatalysts, is scalable but hazardous by-products and chemical wastes create growing environmental concerns. Here, we developed a single step, single pot, and environmentally friendly physical approach of electric field-assisted pulsed laser ablation in liquid for the synthesis of colloidal solution of pure CuMoO4 (CMO) electrocatalysts. The entire process took few minutes and did not involve or generate any chemical. A pulsed picosecond laser was used to ablate MoS2 target at the solid-liquid interface to generate spatially confined plasma plume. Two parallel electrodes (copper sheets) were mounted around the plasma plume to modulate the plasma parameters, control the reactions at the plasma-liquid interface, and simultaneously inject copper ions from the electrode to the laser-produced plasma (LPP) for the generation of CMO. nanoparticles. Surprisingly, we observed that by varying the applied electric field, we can efficiently control the size, shape, crystallinity, morphology, and composition of as produced CMO nanocomposites and enhance their hydrogen evolution reaction (HER) performance. The characterization results proves that the introduction of applied electric field during the laser ablation process significantly change the morphology of as-prepared nanomaterials, and the shape of these nanomaterials were spherical, spindle and cuboid for MoS2, CuO and CMO respectively. Among all the fabricated electrocatalysts, CMO-60 is the best HER performer in alkaline medium, while MoS2 and CuO nanoparticles were the worse. For CMO-60 sample, only 440 mV overpotential required to reach the current density of 10 mA/cm2 and as well as posess good stability. We found that electrocatalysts produced at a higher electric field have higher contents of copper and oxygen leading to a superior HER activity. The developed approach can be applied for the synthesis of other electrocatalysts for a range of chemical reactions.","source":"DOAJ","year":2023,"language":"","subjects":["Materials of engineering and construction. Mechanics of materials","Industrial electrochemistry"],"doi":"10.1016/j.apsadv.2022.100358","url":"http://www.sciencedirect.com/science/article/pii/S2666523922001489","is_open_access":true,"published_at":"","score":67}],"total":3362318,"page":1,"page_size":20,"sources":["DOAJ","CrossRef","Semantic Scholar","arXiv"],"query":"Industrial electrochemistry"}