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Microwave synthesis of high-entropy alloy catalysts on graphene oxide sheets for oxygen reduction and evolution reactions

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International Journal of Hydrogen Energy 2024年 53卷 999-1008页

作者： Khan, Jala Bib Panda, Pradeep Kumar Yang, Po-Chih Hsieh, Chien-Te Gandomi, Yasser Ashraf Liu, Wei-Ren Chang, Jeng-Kuei Department of Chemical Engineering and Materials Science Yuan Ze University Taoyuan 32003 Taiwan Department of Mechanical Aerospace and Biomedical Engineering University of Tennessee Knoxville 37996 TN United States Department of Chemical Engineering Massachusetts Institute of Technology Cambridge 02142 MA United States Department of Chemical Engineering R&D Center for Membrane Technology Center for Circular Economy Chung Yuan Christian University Taoyuan 32023 Taiwan Department of Materials Science and Engineering National Yang Ming Chiao Tung University Hsinchu 30010 Taiwan

High-entropy alloys (HEAs) are commonly synthesized through solid-state reactions and solution-mediated techniques. In this work, HEA nanoparticles were synthesized using an ultra-efficient pulse microwave (PM) method at relatively low temperatures (∼100 °C) with superior catalytic activities. During the PM synthesis process, the precursors of the reaction activate and accelerate the reaction owing to the release of localized and excessive energy. This leads to the formation of a crystallized high-entropy alloy (HEA). Pt₃₀Al₁₅Mn₁₅Co₁₀Ni₁₅Cu₁₅ and Pt₃₀Al₁₅Mn₁₅Co₁₀Ni₁₅Fe₁₅ HEA nanoparticles were synthesized without requiring additional external heat treatments. Furthermore, the synthesized entropically stable HEA nanoparticles showed excellent dispersion behavior towards graphene oxide (GO) sheets (particle size: 4–10 nm), this enhanced dispersion resulted in improved catalytic activity and long-term durability for various processes including H₂ adsorption/desorption, oxygen reduction reaction (ORR), and oxygen evolution reaction (OER). The robust design of Cu-HEA-GO catalytic nanoparticles leads to increased synergistic interactions, which play a critical role in enhancing the ORR/OER activity. We firmly believe that the framework established in this study paves the way for the development of various high-performance catalysts based on HEAs for applications in fuel cells, metal-air batteries, and other electrochemical devices. © 2023 Hydrogen Energy Publications LLC

关键词： Electrochemical catalysts Graphene oxide High entropy alloy Oxygen reduction reaction Pulse microwave approach

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Development and Prototyping of an Arduino UNO System for Studying Light Effects on Mesenchymal Stem Cell

Development and Prototyping of an Arduino UNO System for Stu...

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IEEE International Scientific Conference on Informatics

作者： Veronika Sedláková Radovan Hudák Norbert Ferenčík Peter Kneppo Department of Biomedical Engineering Faculty of Mechanical Engineering Technical University of Kosice Košice Slovakia Department of Biomedical Engineering Faculty of Biomedical Engineering Czech Technical University in Prague Praha Czech Republic

ISBN: (数字)9798350387681

ISBN: (纸本)9798350387698

This article presents the design and application of an Arduino UNO-based system incorporating nine red Light Emitting Diodes (LEDs) and a temperature and humidity sensor (DHT22) for research on mesenchymal stem cells (MSCs). The development of this prototype was motivated by existing researchs indicating the beneficial effects of red light on MSCs and the critical importance of maintaining consistent temperature conditions for preserving MSC viability and function. Future studies utilizing this system will investigate the impact of specific light wavelengths on MSC proliferation and differentiation, addressing gaps identified in previous studies and advancing our understanding of light-induced effects on MSC behavior.

关键词： Temperature sensors Integrated circuits Printed circuits Prototypes Stem cells Humidity DH-HEMTs Light emitting diodes Temperature control Informatics

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Dynamics of self-hybridized exciton–polaritons in 2D halide perovskites

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Light(Science & Applications) 2024年第1期13卷 13-22页

作者： Surendra B.Anantharaman Jason Lynch Christopher E.Stevens Christopher Munley Chentao Li Jin Hou Hao Zhang Andrew Torma Thomas Darlington Francis Coen Kevin Li Arka Majumdar PJames Schuck Aditya Mohite Hayk Harutyunyan Joshua R.Hendrickson Deep Jariwala Department of Electrical and Systems Engineering University of PennsylvaniaPhiladelphiaPA19104USA KBR Inc. BeavercreekOH45431USA Air Force Research Laboratory Sensors DirectorateWright-Patterson Air Force BaseOH45433USA Department of Physics University of WashingtonSeattleWA98195USA Department of Physics Emory UniversityAtlantaGA30322USA Department of Chemical and Biomolecular Engineering Rice UniversityHoustonTX77005USA Department of Materials Science and Nanoengineering Rice UniversityHoustonTX77005USA Applied Physics Program Smalley‐Curl InstituteRice UniversityHoustonTX77005USA Department of Mechanical Engineering Columbia UniversityNew YorkNY10027USA Department of Electrical and Computer Engineering University of WashingtonSeattleWA98195USA

Excitons,bound electron–hole pairs,in two-dimensional hybrid organic inorganic perovskites(2D HOIPs)are capable of forming hybrid light-matter states known as exciton-polaritons(E–Ps)when the excitonic medium is confined in an optical *** the case of 2D HOIPs,they can self-hybridize into E–Ps at specific thicknesses of the HOIP crystals that form a resonant optical cavity with the ***,the fundamental properties of these self-hybridized E–Ps in 2D HOIPs,including their role in ultrafast energy and/or charge transfer at interfaces,remain ***,we demonstrate that>0.5µm thick 2D HOIP crystals on Au substrates are capable of supporting multiple-orders of self-hybridized E–P *** E–Ps have high Q factors(>100)and modulate the optical dispersion for the crystal to enhance sub-gap absorption and *** varying excitation energy and ultrafast measurements,we also confirm energy transfer from higher energy E–Ps to lower energy E–***,we also demonstrate that E–Ps are capable of charge transport and transfer at *** findings provide new insights into charge and energy transfer in E–Ps opening new opportunities towards their manipulation for polaritonic devices.

关键词： charge polar excitation

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Electrochemical-thermal numerical model of a lithium-ion battery under natural convection liquid immersion cooling conditions

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Energy Conversion and Management: X 2025年 27卷

作者： Williams, Niall P. Trimble, Daniel O'Shaughnessy, Séamus M. Department of Mechanical Manufacturing & Biomedical Engineering University of Dublin Trinity College Dublin 2 Ireland

The suitability of direct contact liquid immersion cooling as a method of battery thermal management is investigated numerically in this study, where a 26650 LiFePO4 cylindrical cell is subjected to natural convection liquid immersion conditions. The internal electrochemical behaviour of the cell is replicated through the implementation of the Newman pseudo two-dimensional model, while the liquid domain is also simulated to capture the heat transfer from the cell during both charging and discharging at a rate of 4C. The average surface temperature of the cell is limited to maximums of 294.6 K and 300 K during charging and discharging respectively as a result of the strong fluid agitation induced by natural convection from its surface. The convective heat flux is significantly elevated at the electrode terminals due to their smaller surface area and the higher thermal conductivity along the cell's vertical axis. The poor radial thermal conductivity contributes to the establishment of notable core-to-surface temperature differences, reaching 2.5 K and 6.8 K during charging and discharging respectively. These thermal gradients are of concern with regard to accelerated degradation of the cell. © 2025 The Author(s)

关键词： Natural convection

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A multifocal acoustic lens-transducer system for reverberant Optical Coherence Elastography 10

A multifocal acoustic lens-transducer system for reverberant...

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Optical Elastography and Tissue Biomechanics X 2023

作者： Mekonnen, Taye Schill, Alexander W. Zevallos-Delgado, Christian Singh, Manmohan Aglyamov, Salavat R. Larin, Kirill V. Department of Biomedical Engineering University of Houston 3517 Cullen Blvd. Room 2027 HoustonTX77204 United States Department of Mechanical Engineering University of Houston HoustonTX77204 United States

ISBN: (纸本)9781510658677

Reverberant optical coherence elastography (RevOCE) relies on multiple external excitation sources, such as mechanical actuators or vibrators, to produce random waves propagating in arbitrary directions. In this work, a preliminary study on acoustic beam manipulation to produce multi-focal acoustic radiation force is introduced using a planar ultrasound transducer and a 3D-printed acoustic lens array for RevOCE. An unfocused acoustic beam generated by an ultrasound transducer with 1 MHz central frequency and 38-mm element diameter was coupled to seven uniformly distributed acoustic focusing lenses. The spatial distribution of the acoustic field at the focal plane was measured with a needle hydrophone. The effectiveness of the system in generating reverberant shear wave fields was assessed by performing RevOCE imaging of tissue-mimicking gelatin phantoms. The multi-focus acoustic lens-transducer system was coupled with a phase-sensitive optical coherence tomography (PhS-OCT) system. The RevOCE measurement was conducted by sending ten cycles of a tone burst at 2 kHz. The measured acoustic pressure field showed that the array of concave spherical acoustic lenses spatially distributed the acoustic energy into multiple focal spots in the desired focal plane. Furthermore, RevOCE imaging in tissue-mimicking phantom indicated the effectiveness of the acoustic lens-transducer system in inducing reverberant shear wave fields for probing mechanical properties. © 2023 SPIE.

关键词： Acoustic wave propagation

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Spectral Learning of Shared Dynamics Between Generalized-Linear Processes 38

Spectral Learning of Shared Dynamics Between Generalized-Lin...

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38th Conference on Neural Information Processing Systems, NeurIPS 2024

作者： Oganesian, Lucine L. Sani, Omid G. Shanechi, Maryam M. Ming Hsieh Department of Electrical and Computer Engineering University of Southern California Los AngelesCA United States Ming Hsieh Department of Electrical and Computer Engineering Thomas Lord Department of Computer Science Alfred E. Mann Department of Biomedical Engineering Neuroscience Graduate Program University of Southern California Los AngelesCA United States

Generalized-linear dynamical models (GLDMs) remain a widely-used framework within neuroscience for modeling time-series data, such as neural spiking activity or categorical decision outcomes. Whereas the standard usage of GLDMs is to model a single data source, certain applications require jointly modeling two generalized-linear time-series sources while also dissociating their shared and private dynamics. Most existing GLDM variants and their associated learning algorithms do not support this capability. Here we address this challenge by developing a multi-step analytical subspace identification algorithm for learning a GLDM that explicitly models shared vs. private dynamics within two generalized-linear time-series. In simulations, we demonstrate our algorithm's ability to dissociate and model the dynamics within two time-series sources while being agnostic to their respective observation distributions. In neural data, we consider two specific applications of our algorithm for modeling discrete population spiking activity with respect to a secondary time-series. In both synthetic and real data, GLDMs learned with our algorithm more accurately decoded one time-series from the other using lower-dimensional latent states, as compared to models identified using existing GLDM learning algorithms. © 2024 Neural information processing systems foundation. All rights reserved.

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Cloud Computing's IoT based ThingSpeak, NodeMCU for Weather Monitoring 5

Cloud Computing's IoT based ThingSpeak, NodeMCU for Weather ...

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5th International Conference on Electronics and Sustainable Communication Systems, ICESC 2024

作者： Suresh Chinnathampy, M. Jobin, C.J. Jarin, T. Aarthi, V.P.M.B. Raghavendran, N. Vel Tech High Tech Dr. Rangarajan Dr. Sakunthala Engineering College Department of Electronics and Communication Engineering Chennai600062 India Jyothi Engineering College Department of Mechanical Engineering Kerala Thrissur India Jyothi Engineering College Department of Eee Kerala Thrissur India School of Electronics Electrical and Biomedical Technology Kalasalingam Academy of Research and Education Department of Ece Srivilliputtur Krishnankoil626126 India Department of Artificial Intelligence and Date Science Engineering Chennai601206 India

ISBN: (纸本)9798350379945

In this research work, a cloud-based Internet of Things (IoT) system for weather monitoring in real-time is presented by integrating the ThingSpeak platform, the ESP32 microcontroller, and several sensors, such as rain, soil moisture, and temperature sensors (DHT11). The ESP32 acts as the central hub, integrating sensors and wireless connectivity for data acquisition and transmission. Data collected is securely stored, visualized, and analyzed on ThingSpeak, enabling remote monitoring and decision-making. The system's modular design allows easy expansion and customization, accommodating additional sensors or functionalities. Leveraging cloud computing, this IoT solution offers scalability, accessibility, and data sharing for applications like agriculture and environmental monitoring. With efficient data processing and transmission, even in resource-constrained environments, and collaboration features through thingSpeak, this research contributes to advancing cloud-based IoT systems for weather monitoring. © 2024 IEEE.

关键词： Cloud platforms

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Active Tip Trajectory Control in Zig-Zag Soft Actuators using Modular Strain-Limiting Layers with Phase-Changing Inclusions

Active Tip Trajectory Control in Zig-Zag Soft Actuators usin...

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IEEE International Conference on Soft Robotics (RoboSoft)

作者： P. D. S. Hiroshan Gunawardane G. E. Zesiro P. Cheung H. Zhou G. Alici M. Chiao Department of Mechanical Engineering University of British Columbia Canada School of Mechanical Material Mechatronic and Biomedical Engineering University of Wollongong Australia

ISBN: (数字)9798331520205

ISBN: (纸本)9798331520212

Soft actuators are increasingly employed as an alternative to rigid actuators for delicate applications that demand high flexibility and adaptability. Typically fabricated from compliant materials, soft actuators exhibit significant flexibility. However, when alternative movements beyond their primary motion are required, these actuators often need to be redesigned or re-fabricated, which limits their versatility. This research introduces an innovative design for variable stiffness soft pneumatic actuators (SPAs) by incorporating a modular strain-limiting layer (SLL) embedded with phase-changing inclusions, enabling active control of the tip trajectory in 3D-printed zig-zag SPAs. The modular SLLs are fabricated using phase-changing inclusions composed of 40% high aspect ratio Field’s Metal particles in EcoFlex. The results demonstrate that employing three modular SLLs on a single side of the SPA allows active switching between eight distinct stiffness configurations, thereby achieving eight unique tip trajectories. This capability significantly enhances the working envelope and range of tip trajectories compared to conventional SPAs, providing greater adaptability and functionality for a broader range of applications.

关键词： Pneumatic actuators Metals Switches Soft robotics Trajectory

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Application of Chaotic Encryption and Decryption in Wireless Transmission From Sensory Toolholders on Machine Tools

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IEEE Sensors Journal 2023年第11期23卷 11453-11468页

作者： Lin, Chi-Yuan Wu, Shu-Cing Kuo, Ping-Huan Huang, Meng-Jun Hong, Song-Wei Yau, Her-Terng National Chin-Yi University of Technology Department of Electronic Engineering Taichung411030 Taiwan National Chin-Yi University of Technology Prospective Technology of Electrical Engineering and Computer Science Program Taichung411030 Taiwan Chiayi62102 Taiwan National Chung Cheng University Department of Mechanical Engineering Chiayi62102 Taiwan

In recent years, several industries have increased their demand for processing precision, automatic detection, and visualization interfaces. Therefore, to keep pace with the fourth industrial revolution, machine tool operators install a large number of sensors on machine tools to obtain more precise physical quantities during processing and use a variety of sensors to obtain measurements in various situations. However, these additional sensors on machine tools result in complicated wire layouts, which exhibit negative effects on processing. Such problems lead to the birth of wireless data transmission, which is expected to become the new standard in the future. At present, there is more and more interactive integration between relevant embedded system and the machine tool, which allows information communication between each other in the wireless domain. However, generally, the majority of machine tool operators focus on optimizing the sensing conditions during processing, but they disregard the importance of information security. In the current era of the Internet of Things (IoT), information security is regarded as a crucial factor. For the wireless communication between the IoT equipment for each machine in the machining field, the transmitted data are almost exposed within public space directly due to the loss in constraint and protection of physical wiring. Therefore, such a process can easily be intercepted by other devices that capture information on relevant status of the machine or command messages received by the controller, where intentional individual may possibly control the operating mechanism and progress of entire plant. This leads to theft of relevant secrets in manufacturing technology for the subject company, or intentional shutdown, machine damage, and vicious blackmailing attacks. Therefore, introducing the mechanism of safety protection during wireless signal transmission is an inevitable technology to maintain the company interests and also the

关键词： Synchronization

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Our Role in Solving Global Challenges: An Opinion

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JOURNAL OF THE AMERICAN CHEMICAL SOCIETY 2024年第31期146卷 21193-21195页

作者： Carter, Emily A. Department of Mechanical and Aerospace Engineering Program in Applied and Computational Mathematics and the Andlinger Center for Energy and the Environment Princeton University Princeton New Jersey 08544-5263 United States Princeton Plasma Physics Laboratory Princeton New Jersey 08540-6655 United States

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