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International Conference PhysicA.SPb/2021

作者： Lapiński, M. Czubek, J. Drozdowska, K. Sadowski, W. Kuznetsov, V.V. Charykov, N. Kościelska, B. Institute of Nanotechnology and Materials Engineering Gdansk University of Technology Advanced Materials Center ul. Gabriela Narutowicza 11/12 Gdańsk80-233 Poland Faculty of Electronics Telecommunications and Informatics Digital Technologies Center Gdansk University of Technology ul. Gabriela Narutowicza 11/12 Gdańsk80-233 Poland Saint-Petersburg State Electrotechnical University St. Petersburg197376 Russia

In this work the study of the optical properties of europium doped titanium dioxide thin films (TiO2:Eu) enhanced by gold plasmonic nanostructures are presented. Plasmonic platforms were manufactured by thermal annealing of thin film of Au, deposited on a Corning glass substrate. As a result of thermal treatment, gold spherical nanostructures with average dimensions of 50 nm were obtained. Luminescent TiO2:Eu film was deposited by RF magnetron sputtering method, from mosaic target. Morphology of gold nanostructures was investigated by SEM and TEM microscopes, while composition of oxides film was analysed by XPS methods. Luminescence properties were studied on the basis of excitation and emission spectra. Experiments have shown that such structures exhibit interesting luminescent properties and could be potential candidates for optoelectronics applications. © 2021 institute of Physics Publishing. All rights reserved.

关键词： Titanium dioxide

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Space-Time Hopfion Crystals

arXiv

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arXiv 2024年

作者： Lin, Wenbo Mata-Cervera, Nilo Ota, Yasutomo Shen, Yijie Iwamoto, Satoshi Institute of Innovative Research Tokyo Institute of Technology 2-12-1 Ookayama Merugo Tokyo152-8550 Japan Centre for Disruptive Photonic Technologies School of Physical and Mathematical Sciences The Photonics Institute Nanyang Technological University Singapore637371 Singapore Department of Applied Physics and Physico-Informatics Faculty of Science and Technology Keio University Kanagawa Yokohama223-8522 Japan School of Electrical and Electronic Engineering Nanyang Technological University Singapore639798 Singapore Research Center for Advanced Science and Technology The University of Tokyo 4-6-1 Komaba Meguro Tokyo153-8904 Japan Institute of Industrial Science The University of Tokyo 4-6-1 Komaba Meguro Tokyo153-8505 Japan

Hopfions, higher-dimensional topological quasiparticles with sophisticated 3D knotted spin textures discovered in condensed matter and photonic systems, show promise in high-density data storage and transfer. Here we present crystalline structures of hopfions lying in space-time constructed by spatiotemporally structured light. A practical methodology using bichromatic structured light beams or dipole arrays to assemble 1D and higher dimensional hopfion lattices is proposed and a technique for tailoring topological orders is elucidated. The birth of photonic hopfion crystals heralds a new era in high-dimensional, condensed, and robust topological information processing. © 2024, CC BY.

关键词： Textures

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Energy and exergy assessment of photovoltaic-thermal system using tungsten trioxide nanofluid: An experimental study

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International Journal of Thermofluids 2022年 16卷

作者： Alktranee, Mohammed Shehab, Mohammed Ahmed Németh, Zoltán Bencs, Péter Hernadi, Klara Koós, Tamás Department of Fluid and Heat Engineering Faculty of Mechanical Engineering and Informatics University of Miskolc HU Miskolc3515 Hungary Department of Mechanical Techniques Technical Institute of Basra Southern Technical University Basrah Iraq Faculty of Materials and Chemical Engineering University of Miskolc HU Miskolc3515 Hungary Polymers and Petrochemicals Engineering Department Basrah University for Oil and Gas Basrah61004 Iraq Advanced Materials and Intelligent Technologies Higher Education and Industrial Cooperation Centre University of Miskolc HU Miskolc3515 Hungary Institute of Physical Metallurgy Metal Forming and Nanotechnology University of Miskolc HU Miskolc3515 Hungary Institute of Energy and Quality Affairs University of Miskolc MiskolcH-3515 Hungary

The temperature rising of the photovoltaic (PV) modules is a major issue leading to a reduction in their conversion efficiency and low output power. Therefore, removing heat from the PV module is necessary to permanently work and improve the electrical power output. Serpentine pipes and a thermal absorber plate has proposed with fluid circulation to reduce the PV cell temperature and improve their efficiency. The current work experimentally investigates the effect of using tungsten trioxide (WO3) nanofluids on the PVT system's energy and exergy efficiency at different volume concentrations of 0. 5 vol%, 0. 75 vol%, and 1 vol%. The results indicated an increment in the electrical power output by 11.15 W due to reducing the PV temperature by 21.4% and enhancing the PVT overall efficiency by 29.6% compared with the cooling by Deionized (DI) water. Increasing the volume concentration of nanoparticles increased the Reynolds number, and the Nusselt number enhanced the heat transfer coefficient and increased the pressure drop. Improving the thermal properties of the nanofluid has increased the electrical exergy efficiency and lowered the thermal exergy efficiency due to the reduction in thermal exergy quality. Compared to DI water cooling, exergy losses and entropy generation were reduced by 10% and 34.8%, respectively. © 2022

关键词： Deionized water

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An epidemiological model of SIR in a nanotechnological innovation environment

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Heliyon 2025年第3期11卷 e42309页

作者： Svoboda, David Havelka, Ondřej Holendová, Julie Kraft, Jiří Faculty of Economics Technical University of Liberec Voroněžská 13 Liberec 460 01 Czech Republic Institute for Nanomaterials Advanced Technologies and Innovation Technical University of Liberec Studentská 1402/2 Liberec 461 17 Czech Republic Faculty of Mechatronics Informatics and Interdisciplinary Studies Technical University of Liberec Studentská 1402/2 Liberec 461 17 Czech Republic Zittau Görlitz University of Applied Sciences Faculty of Business Administration and Industrial Engineering Theodor-Körner-Allee 16 Zittau 02763 Germany

Today, when nanotechnological innovation, in particular, faces stringent regulations, the question arises concerning a tool that can quantify individual interventions and thus complement current knowledge in the diffusion theory of innovation. This paper examines the complex nature of innovation diffusion in a rapidly evolving technological environment. The research presents current knowledge in the field linking diffusion of innovation theory and the basic epidemiological model of SIR (Susceptible, Infected, Recovered). Epidemiological models, originally developed to study the spread of infectious diseases, offer intriguing parallels to innovation diffusion due to shared characteristics in propagation dynamics. Integrating the SIR epidemiological model into the current theoretical framework allows the SIR model to be considered as a tool capable of filling current gaps in the literature. Nanotechnological innovations are chosen because of their significant impact on society, which faces unique market entry challenges. Within the framework of high interdisciplinarity, nanotechnologies, like viruses, tend to 'mutate' into different industries where their 'infectivity' varies. The case of nanotechnology serves to illustrate the usefulness of the proposed model and shows how factors that influence the spread of viruses can similarly affect the adoption of technological innovations. Similar characteristics in the propagation framework between innovations and viruses can serve as one of many arguments for the use of the SIR model in this field. Using an integrative review, aspects that have the potential to add to the SIR model in the current literature are identified. By combining epidemiological findings with innovation theory, the paper contributes to a richer and more integrated understanding of the phenomena of diffusion of nanotechnological innovations. The motivation is to open a debate regarding the ability of the epidemiological model of SIR to reveal the impact

关键词： Bass model Diffusion of innovation Nanotechnology SIR model

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Reactive Laser Ablation in Acetone Towards Phase-Controlled Nonequilibrium Iron- and Nickel-Bi2o3 Nanoalloys

SSRN

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SSRN 2023年

作者： Havelka, Ondřej Abdallah, Sabrin Braun, Jan Lukowiec, Dariusz Plachý, Tomáš Cvek, Martin Torres-Mendieta, Rafael Institute for Nanomaterials Advanced Technologies and Innovation Technical University of Liberec Studentská 1402/2 Liberec461 17 Czech Republic Faculty of Mechatronics Informatics and Interdisciplinary Studies Technical University of Liberec Studentská 1402/2 Liberec461 17 Czech Republic Faculty of Mechanical Engineering Silesian University of Technology Konarskiego 18 a St. Gliwice44-100 Poland Centre of Polymer Systems University Institute Tomas Bata University in Zlín Třída T. Bati 5678 Zlín760 01 Czech Republic

The ongoing development of new nanocatalysts is powered by the ambitious vision of finely controlling their structure while ensuring their remarkable features in heterogeneous chemical reactions. Especially in processes where the catalysts must be recycled, the union of catalytic activity and magnetic motility belongs among the most desirable characteristics. In recent years, the effort to optimize this synergy in photocatalysis has led to a focus on creating bismuth-based bimetallic nanoparticles (NPs), also known as nanoalloys. Nevertheless, the optimization of their properties and sustainable development still need to be well-considered. Therefore, we herein present for the first time the synthesis of phase-controlled nickel-Bi2O3 and iron-Bi2O3 NPs, whose non-equilibrium composition is provided by the sustainable method known as reactive laser ablation in liquids (RLAL), resulting in a remarkable band-gap engineering in both types of magnetic nanoalloys. Besides, the profound analyses of RLAL introduce the first report about the limitations and new perspectives of this relatively novel nanotechnology, in which the usage of chemically similar magnetic foils (iron and nickel) leads to extensively different NPs compositions and properties. Overall, these findings provide a groundwork for understanding the formation of non-equilibrium nanoalloys representing a rising generation of nanocatalysts. © 2023, The Authors. All rights reserved.

关键词： Bismuth compounds

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Tracking the Albedo and Thermal Radiation with a Lunar Narrow Field of View Radiometer

Tracking the Albedo and Thermal Radiation with a Lunar Narro...

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International Conference on Recent Advances in Space technologies (RAST)

作者： Ping Zhu Özgür Karatekin Burak Yağlıoğlu Huizeng Liu Fahri Öztürk Shaopeng Huang Qinquan Li Hüseyin Erdem Kazak Gregoire Henry Duo Wu Institute for Advanced Study Shenzhen University Shenzhen China Royal Observatory of Belgium Brussels Belgium Planetary and Reference System Royal Observatory of Belgium Brussels Belgium TUBITAK UZAY - Space Technologies Research Institute Ankara Türkiye College of Civil and Transportation Engineering Shenzhen University Shenzhen China Key Laboratory for Geo-Environmental Monitoring of Great Bay Area & Guangdong Key Laboratory of Urban Informatics & Shenzhen Key Laboratory of Spatial Smart Sensing and Services College of Civil and Transportation Engineering Shenzhen University Shenzhen China Changchun Institute of Optics Fine Mechanics and Physics Chinese Academy of Science Changchun China School of Optoelectronics University of Chinese Academy of Sciences Beijing China

A lunar narrow field of view radiometer (LNR) is designed to measure the short and long-wave radiation from a lunar orbiter as a part of the Lunar Research Program (AYAP-1) by the Turkish Space Agency. The flying model has been developed and constructed based on the heritage of previous space missions and the lunar short-and long-wave radiation values determined by the Diviner lunar radiometer. The LNR is targeting a high-resolution and accurate lunar albedo and surface radiation measurement with a lunar radiation flux measurement through optimized optical and thermal-mechanical design. The measurement of the single-pixel LNR will cover a broadband wavelength range from 0.2 to $\mathbf{50}.\mathbf{0}\ \boldsymbol{\mu} \mathbf{m}$ and a footprint of 3.45 km 2 at a 150 km altitude.

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Synthesis of dihydropyrano[2,3-c]pyrazole scaffolds by methylene blue (MB⁺) as a photo-redox catalyst via a single-electron transfer (SET)/energy transfer (EnT) pathway

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Current Research in Green and Sustainable Chemistry 2023年 7卷

作者： Mohamadpour, Farzaneh Kamyab, Hesam Chelliapan, Shreeshivadasan Amani, Ali Mohammad Department of Medical Nanotechnology School of Advanced Medical Sciences and Technologies Shiraz University of Medical Sciences Shiraz Iran Faculty of Architecture and Urbanism UTE University Calle Rumipamba S/N and Bourgeois Quito Ecuador Department of Biomaterials Saveetha Dental College and Hospital Saveetha Institute of Medical and Technical Sciences Chennai 600 077 India Process Systems Engineering Centre (PROSPECT) Faculty of Chemical and Energy Engineering Faculty of Engineering Universiti Teknologi Malaysia Johor Skudai Malaysia Engineering Department Razak Faculty of Technology and Informatics Universiti Teknologi Malaysia Jln Sultan Yahya Petra Kuala Lumpur 54100 Malaysia

A new environmentally friendly plan was created to make dihydropyrano [2,3-c]pyrazole structures without using metals. This plan involves combining ethyl acetoacetate, hydrazine hydrate, aldehyde derivatives, and malononitrile in a radical tandem Knoevenagel-Michael cyclocondensation reaction. We used metal-free methylene blue (MB⁺) to create special functions that respond to light. These functions can transfer electrons and energy in water at room temperature using light as a source of energy in the air. The amount of product made is pretty consistent (between 81 and 98 %, with an average of 91.8 %), and it gets made quickly (between 3 and 7 min, with an average of 5.3 min). The important thing mentioned in the conversation is that the process can handle different types of chemicals while still being fast and giving good results. The results show that this special technique is a successful and easy way to get good results in just one step. Methylene blue is used with very little amount to make a chemical reaction happen. This leads to high amounts of product, saves energy, and is good for the environment. It helps use up all the starting materials efficiently, saves time by not needing to separate chromatography, and reduces waste. This photocatalyst is easy to use. This creates many different types of characteristics in the environment and chemicals that last a long time. The turnover number (TON) and turnover frequency (TOF) of dihydropyrano [2,3-c]pyrazole scaffolds were calculated. It is interesting that cyclization on a gram scale can be achieved, showing that this technique can be used in industries. © 2023 The Authors

关键词： Aqueous solvent Dihydropyrano[2,3-c]pyrazole scaffolds Methylene blue (MB+) Photo-redox catalyst Photochemical synthesis Renewable energy source

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A Practical and Scalable Privacy-preserving Framework

A Practical and Scalable Privacy-preserving Framework

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Cyber Security and Resilience (CSR), IEEE International Conference on

作者： Nikos Avgerinos Salvatore D'Antonio Irene Kamara Christos Kotselidis Ioannis Lazarou Teresa Mannarino Georgios Meditskos Konstantina Papachristopoulou Angelos Papoutsis Paolo Roccetti Martin Zuber Diadikasia Business Consulting S.A Athens Greece TRUSTUP Naples Italy Tilburg Institute for Law Technology and Society Tilburg Law School Tilburg The Netherlands Department of Computer Science The University of Manchester Manchester United Kingdom EXUS Athens Greece Department of Advanced Biomedical Sciences University of Naples Federico II Naples Italy School of Informatics Aristotle University of Thessaloniki Thessaloniki Greece Eight Bells Ltd Athens Greece Information Technologies Institute CERTH Thessaloniki Greece R&D Labs Engineering Ingegneria Informatica Rome Italy Universite Paris-Saclay CEA List Palaiseau France

ENCRYPT is an EU funded research initiative, working towards the development of a scalable, practical, adaptable privacy-preserving framework, allowing researchers and developers to process data stored in federated cross-border data spaces in a GDPR-compliant way. ENCRYPT proposes an intelligent and user-centric platform for the confidential processing of privacy-sensitive data via configurable, optimizable, and verifiable privacy-preserving techniques. Research and development activities leverage, improve, and complement technologies and cryptographic schemes that represent the current state-of-the-art in the field of data-in-use protection. Hence, ENCRYPT builds on top of cutting-edge technologies such as Fully Homomorphic Encryption, Secure Multi-Party Computation, Differential Privacy, Trusted Execution Environment, GPU acceleration, knowledge graphs, and AI-based recommendation systems, making them configurable in terms of security and, most importantly, performance. The ENCRYPT framework is being designed taking into consideration the needs and preferences of relevant actors and will be validated in realistic use cases provided by consortium partners in three sectors, namely healthcare (oncology domain), fintech, and cyber threat intelligence domain. This position paper provides an overview of ENCRYPT by presenting project objectives, use cases, and technology pillars.

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EDOLAB: An Open-Source Platform for Education and Experimentation with Evolutionary Dynamic Optimization Algorithms

arXiv

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arXiv 2023年

作者： Peng, Mai Yazdani, Delaram She, Zeneng Yazdani, Danial Luo, Wenjian Li, Changhe Branke, Juergen Nguyen, Trung Thanh Gandomi, Amir H. Yang, Shengxiang Jin, Yaochu Yao, Xin School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan China Research Institute Faculty of Engineering and Technology Liverpool John Moores University United Kingdom School of Computer Science and Technology Harbin Institute of Technology China Guangdong Provincial Key Laboratory of Novel Security Intelligence Technologies School of Computer Science and Technology Harbin Institute of Technology Peng Cheng Laboratory China School of Artificial Intelligence Anhui University of Sciences & Technology China Information Systems Management and Analytics in Warwick Business School University of Warwick United Kingdom Faculty of Engineering & Information Technology University of Technology Sydney Australia Obuda University Hungary School of Computer Science and Informatics De Montfort University United Kingdom Department of Artificial Intelligence School of Engineering Westlake University China School of Computer Science University of Birmingham United Kingdom

Many real-world optimization problems exhibit dynamic characteristics, posing significant challenges for traditional optimization techniques. Evolutionary Dynamic Optimization Algorithms (EDOAs) are designed to address these challenges effectively. However, in existing literature, the reported results for a given EDOA can vary significantly. This inconsistency often arises because the source codes for many EDOAs, which are typically complex, have not been made publicly available, leading to error-prone re-implementations. To support researchers in conducting experiments and comparing their algorithms with various EDOAs, we have developed an open-source MATLAB platform called the Evolutionary Dynamic Optimization LABoratory (EDOLAB). This platform not only facilitates research but also includes an educational module designed for instructional purposes. The education module allows users to observe: a) a 2-dimensional problem space and its morphological changes following each environmental change, b) the behaviors of individuals over time, and c) how the EDOA responds to environmental changes and tracks the moving optimum. The current version of EDOLAB features 25 EDOAs and four fully parametric benchmark generators. © 2023, CC BY-NC-SA.

关键词： Optimization algorithms

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Air quality prediction and control systems using machine learning and adaptive neuro-fuzzy inference system

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Heliyon 2024年第21期10卷 e39783页

作者： Mottahedin, Pouya Chahkandi, Benyamin Moezzi, Reza Fathollahi-Fard, Amir M. Ghandali, Mojtaba Gheibi, Mohammad Department of Chemical Engineering Faculty of Engineering University of Garmsar Garmsar Iran Faculty of Civil and Environmental Engineering Gdansk University of Technology Narutowicza Street 11/12 Gdansk 80-233 Poland Faculty of Mechatronics Informatics and Interdisciplinary Studies Technical University of Liberec Liberec 461 17 Czech Republic Association of Talent under Liberty in Technology (TULTECH) Sopruse Pst Tallinn 10615 Estonia Département d′Analytique Opérations et Technologies de l′Information Université du Québec à Montréal B.P. 8888 Succ. Centre-ville Montréal H3C 3P8 QC Canada Institute for Nanomaterials Advanced Technologies and Innovation Technical University of Liberec Liberec 461 17 Czech Republic Environment Research Center Department of Environment Semnan University Semnan Iran

Accurately predicting air quality concentrations is a challenging task due to the complex interactions of pollutants and their reliance on nonlinear processes. This study introduces an innovative approach in environmental engineering, employing artificial intelligence techniques to forecast air quality in Semnan, Iran. Comprehensive data on seven different pollutants was initially collected and analyzed. Then, several machine learning (ML) models were rigorously evaluated for their performance, and a detailed analysis was conducted. By incorporating these advanced technologies, the study aims to create a reliable framework for air quality prediction, with a particular focus on the case study in Iran. The results indicated that the adaptive neuro-fuzzy inference system (ANFIS) was the most effective method for predicting air quality across different seasons, showing high reliability across all datasets. © 2024 The Authors

关键词： Adaptive neuro-fuzzy inference system Air quality Artificial intelligence Machine learning

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