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16th Pacific Rim Conference on Lasers and Electro-Optics, CLEO-PR 2024

作者： Kim, Dasom Hou, Jin Lee, Geon Agrawal, Ayush Kim, Sunghwan Zhang, Hao Bao, Di Baydin, Andrey Wu, Wenjing Tay, Fuyang Huang, Shengxi Hagenmüller, Daivd Chia, Elbert E. M. Kim, Dai-Sik Seo, Minah Mohite, Aditya D. Kono, Junichiro Applied Physics Graduate Program Smalley-Curl Institute Rice University HoustonTX77005 United States Department of Electrical and Computer Engineering Rice University HoustonTX77005 United States Department of Materials Science and NanoEngineering Rice University HoustonTX77005 United States Sensor System Research Center Korea Institute of Science and Technology Seoul02792 Korea Republic of Department of Physics and Astronomy Seoul National University Seoul08826 Korea Republic of Department of Chemical and Biomolecular Engineering Rice University HoustonTX77005 United States Ulsan44919 Korea Republic of Division of Physics and Applied Physics School of Physical and Mathematical Sciences Nanyang Technological University 637371 Singapore Smalley-Curl Institute Rice University HoustonTX77005 United States Université de Strasbourg Cnrs Strasbourg67000 France KU-KIST Graduate School of Converging Science and Technology Korea University Seoul02841 Korea Republic of Department of Physics and Astronomy Rice University HoustonTX77005 United States

Methods for harnessing vibrational states are desired for phonon-based technologies. We realized ultrastrong coupling of two phonon modes in perovskite materials induced by ultrastrong coupling with a common photonic ... 详细信息

ISBN: (纸本)9798350372076

关键词： Organic-inorganic materials

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Investigation of Organic Matter Extraction from Moroccan Oil Shale

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Journal of Modern Physics 2023年第8期14卷 86-108页

作者： Abdelkrim Abourriche Abdelaziz Benhammou Younes Abouliatim Yassine Rakcho Said Mansouri Mossaab Mouiya Jones Alami Hassan Hannache Laboratory Materials Processes Environment and Quality National School of Applied Sciences Safi Morocco Laboratory of Process and Environmental Engineering (L. P. E. E) Higher School of Technology of Casablanca Hassan II University Casablanca Morocco LIMAT-Thermostructural Materials and Polymers Team Faculty of Science Ben M’sik Casablanca Morocco Department of Materials Science and Nanoengineering University of Mohamed VI Polytechnic Rabat Morocco

This study focuses on investigating the effect of various solvents on the supercritical extraction of organic matter from Moroccan oil shales, with the goal of determining the optimal operating conditions that result in a high yield of high-quality oil rich in aromatic compounds. The results of this study demonstrate that the extraction yield and quality of the extracted oil heavily depend on the chosen operating conditions for supercritical or subcritical extraction of organic matter from oil shale. Additionally, the study found that phenol can effectively degrade oil shale and enable extraction of nearly all the organic matter, even under mild conditions (T = 390˚C, P = 1.2 MPa, Time = 2.5 h. Furthermore, the oils obtained through this extraction process are of high quality, with a rich content of maltenes, and a higher concentration of aromatic compounds and lower levels of sulfur than those obtained using other solvents.

关键词： Moroccan Oil Shale Mineral Matter Sub/Supercritical Extraction Nature of Solvent Phenol

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Mussel-Inspired and Bioclickable Peptide Engineered Surface to Combat Thrombosis and Infection

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Research 2022年第3期2022卷 91-104页

作者： Xiaohui Mou Hongbo Zhang Hua Qiu Wentai Zhang Ying Wang Kaiqin Xiong Nan Huang Hélder A.Santos Zhilu Yang Affiliated Dongguan Hospital Southern Medical UniversityDongguanGuangdong 523059China Guangdong Provincial Key Laboratory of Shock and Microcirculation GuangzhouGuangdong 510080China Key Laboratory of Advanced Technologies of Materials Ministry of EducationSchool of Materials Science and EngineeringSouthwest Jiaotong UniversityChengdu 610031China Pharmaceutical Sciences Laboratory Åbo Akademi UniversityTurku Biosciences CenterUniversity of Turku andÅbo Akademi University20520 TurkuFinland State Key Laboratory of Molecular Engineering of Polymers Fudan UniversityShanghai 200438China Department of Biomedical Engineering and W.J.Kolff Institute for Biomedical Engineering and Materials Science University Medical Center Groningen/University of GroningenAnt.Deusinglaan 19713 AV GroningenNetherlands Drug Research Program Division of Pharmaceutical Chemistry and TechnologyFaculty of PharmacyUniversity of HelsinkiFI-00014 HelsinkiFinland

Thrombosis and infections are the two major complications associated with extracorporeal circuits and indwelling medical devices,leading to significant mortality in *** address this issue,here,we report a biomimetic surface engineering strategy by the integration of mussel-inspired adhesive peptide,with bio-orthogonal click chemistry,to tailor the surface functionalities of tubing and *** by mussel adhesive foot protein,a bioclickable peptide mimic(DOPA)4-azidebased structure is designed and grafted on an aminated tubing robustly based on catechol-amine ***,the dibenzylcyclooctyne(DBCO)modified nitric oxide generating species of 1,4,7,10-tetraazacyclododecane-1,4,7,10-tetraacetic acid(DOTA)chelated copper ions and the DBCO-modified antimicrobial peptide(DBCO-AMP)are clicked onto the grafted surfaces via bio-orthogonal *** combination of the robustly grafted AMP and Cu-DOTA endows the modified tubing with durable antimicrobial properties and ability in long-term catalytically generating NO from endogenous snitrosothiols to resist adhesion/activation of platelets,thus preventing the formation of ***,this biomimetic surface engineering technology provides a promising solution for multicomponent surface functionalization and the surface bioengineering of biomedical devices with enhanced clinical performance.

关键词： DOTA generating Engine

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Study of Silicon Nitride Etched by Cyclic Atomic Layer Etching

Study of Silicon Nitride Etched by Cyclic Atomic Layer Etchi...

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2022 IET International Conference on engineering Technologies and Applications, IET-ICETA 2022

作者： Yang, Tsung-Ying Kuo, Mei-Yan Chang, Edward-Yi National Yang Ming Chiao Tung University International College of Semiconductor Technology Hsinchu Taiwan National Yang Ming Chiao Tung University Graduate Program for Nanotechnology Department of Materials Science and Engineering Hsinchu Taiwan

ISBN: (数字)9781665491389

ISBN: (纸本)9781665491389

In this work, cyclic atomic layer etching (ALE) was used to etch silicon nitride (SiN) to find its working conditions. To understand the mechanism behind it, we tested the ALE adsorption effect and the removal effect of the ALE working window. Also, we made a comparison with the etching RMS of normal etching ICP and showed that ALE has better etch flatness. This demonstrates that ALE has a potential ability to become a reliable and stable etching technology in the future. © 2022 IEEE.

关键词： Silicon nitride

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Phase equilibria and thermodynamics assessment of the Co–Fe–Nb ternary system

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Intermetallics 2024年 168卷

作者： Hutabalian, Yohanes Hermana, Gita Novian Laksono, Andromeda Dwi Chen, Sinn-wen Department of Chemical Engineering National Tsing Hua University Taiwan Hsinchu30013 Taiwan Research and Development Center PT. Gotion Indonesia Materials Jakarta12950 Indonesia Department of Advanced Materials Engineering Bandung Polytechnic for Manufacturing West Java Bandung40135 Indonesia Department of Materials Science and Engineering National Taiwan University of Science and Technology Taiwan Taipei10672 Taiwan Study Program of Materials and Metallurgical Engineering Institut Teknologi Kalimantan Soekarno-Hatta Street Km. 15 Karang Joang East Kalimantan Balikpapan76127 Indonesia High Entropy Materials Center National Tsing Hua University Taiwan Hsinchu30013 Taiwan

The Co–Fe–Nb materials system is a crucial material for magnetic applications. Despite its importance, the phase equilibria and thermodynamic characteristics of this ternary system have not been explored in detail. This study employs the Calphad method to model the phase equilibria of the Co–Fe–Nb ternary system. To obtain the ternary interaction parameters, the experimental data on the isothermal sections at temperatures ranging from 700 °C to 1300 °C was evaluated. These findings indicate that the Co–Fe–Nb system contains no ternary compound, and the (Co,Fe)7Nb6 phase exists as a single solid solution. Significant solubility of the third element in the binary compounds of Co2Nb (Laves C14) and Fe2Nb (Laves C15) is also observed. The results are in good agreement with the experimental data. Furthermore, a liquidus projection of the system is presented, for the first time, revealing eight primary solidification phases in the Co–Fe–Nb ternary system. © 2024

关键词： Phase equilibria

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A Physics-Constrained Deep Learning Treatment of Runaway Electron Dynamics

arXiv

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arXiv 2024年

作者： McDevitt, Christopher J. Arnaud, Jonathan Tang, Xian-Zhu Nuclear Engineering Program Department of Materials Science and Engineering University of Florida GainesvilleFL32611 United States Theoretical Division Los Alamos National Laboratory Los AlamosNM87545 United States

An adjoint formulation leveraging a physics-informed neural network (PINN) is employed to advance the density moment of a runaway electron (RE) distribution forward in time. A distinguishing feature of this approach is that once the adjoint problem is solved, its solution can be used to project the RE density forward in time for an arbitrary initial momentum space distribution of REs. Furthermore, by employing a PINN, a parametric solution to the adjoint problem can be learned. Thus, once trained, this adjoint-deep learning framework is able to efficiently project the RE density forward in time across various plasma conditions while still including a fully kinetic description of RE dynamics. As an example application, the temporal evolution of the density of primary electrons is studied, with particular emphasis on evaluating the decay of a RE population when below threshold. Predictions from the adjoint-deep learning framework are found to be in good agreement with a traditional relativistic electron Fokker-Planck solver, for several distinct initial conditions, and across an array of physics parameters. Once trained the PINN thus provides a means of generating RE density time histories with exceptionally low online execution time. © 2024, CC BY.

关键词： Fokker Planck equation

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An Efficient Surrogate Model of Secondary Electron Formation and Evolution

arXiv

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arXiv 2024年

This work extends the adjoint-deep learning framework for runaway electron (RE) evolution developed in Ref. [1] to account for large-angle collisions. By incorporating large-angle collisions the framework allows the avalanche of REs to be captured, an essential component to RE dynamics. This extension is accomplished by using a Rosenbluth-Putvinski approximation to estimate the distribution of secondary electrons generated by large-angle collisions. By evolving both the primary and multiple generations of secondary electrons, the present formulation is able to capture both the detailed temporal evolution of a RE population beginning from an arbitrary initial momentum space distribution, along with providing approximations to the saturated growth and decay rates of the RE population. Predictions of the adjoint-deep learning framework are verified against a traditional RE solver, with good agreement present across a broad range of parameters. © 2024, CC BY.

关键词： Electrons

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A Physics-Informed Deep Learning Description of Knudsen Layer Reactivity Reduction

arXiv

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arXiv 2024年

作者： McDevitt, Christopher J. Tang, Xian-Zhu Nuclear Engineering Program Department of Materials Science and Engineering University of Florida GainesvilleFL32611 United States Theoretical Division Los Alamos National Laboratory Los Alamos NM87545 United States

A physics-informed neural network (PINN) is used to evaluate the fast ion distribution in the hot spot of an inertial confinement fusion target. The use of tailored input and output layers to the neural network is shown to enable a PINN to learn the parametric solution to the Vlasov-Fokker-Planck equation in the absence of any synthetic or experimental data. As an explicit demonstration of the approach, the specific problem of Knudsen layer fusion yield reduction is treated. Here, predictions from the Vlasov-Fokker-Planck PINN are used to provide a non-perturbative solution of the fast ion tail in the vicinity of the hot spot thus allowing the spatial profile of the fusion reactivity to be evaluated for a range of collisionalities and hot spot conditions. Excellent agreement is found between the predictions of the Vlasov-Fokker-Planck PINN and results from traditional numerical solvers with respect to both the energy and spatial distribution of fast ions and the fusion reactivity profile demonstrating that the Vlasov-Fokker-Planck PINN provides an accurate and efficient means of determining the impact of Knudsen layer yield reduction across a broad range of plasma conditions. © 2024, CC BY.

关键词： Deep learning

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Exploring nonlinear Rashba effect and spin Hall conductivity in Janus MXenes W2COX (X=S, Se, Te)

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Physical Review B 2024年第24期110卷 245421-245421页

作者： Arjyama Bordoloi Sobhit Singh Department of Mechanical Engineering University of Rochester Rochester New York 14627 USA Materials Science Program University of Rochester Rochester New York 14627 USA Center for Coherence and Quantum Optics University of Rochester Rochester New York 14627 USA

Rashba spin-orbit coupling (RSOC) facilitates spin manipulation without relying on an external magnetic field, opening up exciting possibilities for advanced spintronic devices. In this paper, we examine the effects of crystal momentum (k) nonlinearity and anisotropy on the conventional Rashba effect, with a particular focus on their impact on the spin Hall conductivity (SHC) in a newly predicted family of 2D Janus materials, W2COX (X=S, Se, Te). Using first-principles density functional theory calculations, we confirm the dynamical and mechanical stability of the studied 2D materials. Strikingly, this materials family exhibits pronounced nonlinear Rashba spin splitting at the Γ point of Brillouin zone near the Fermi level, which cannot be adequately described by the linear-k Rashba model. Therefore, third-order momentum contributions (k3) must be incorporated into the Rashba Hamiltonian. Our analysis reveals that among the studied systems, W2COS exhibits the highest k3 contribution of −45.9 eV Å3, despite having the lowest linear Rashba constant. A detailed analysis of electronic structure reveals topologically nontrivial behavior in these 2D materials, yielding sizable SHC that is primarily governed by the nonlinear Rashba effect. Notably, these materials also exhibit large spin Hall angle (0.018–2.5 at EF), which is comparable to that of in bulk topological insulators like Bi2Se3 and Bi2Te3, and surpassing those in narrow bandgap bulk semiconductors GeTe and SnTe, as well as heavy metals such as Pt. Sizable SHC, large spin Hall angles, and the ability to tune SHC via electric fields without altering the topological properties, rooted in the crystal field splitting, underscore the potential of these materials for spintronic applications.

关键词： Topological insulators

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Lost-Core Injection Molding of Fluidic Elastomer Actuators for the Fabrication of a Modular Eel-Inspired Soft Robot

Lost-Core Injection Molding of Fluidic Elastomer Actuators f...

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IEEE International Conference on Soft Robotics (RoboSoft)

作者： Jacobo Cervera-Torralba Yuxiang Kang Eesa M. Khan Iman Adibnazari Michael T. Tolley Department of Mechanical and Aerospace Engineering University of California San Diego (UCSD) La Jolla CA USA Materials Science and Engineering Program University of California San Diego (UCSD) La Jolla CA USA

Biologically inspired soft anguilliform swimming robots show great promise in underwater exploration. Their soft bodies promise to reduce the chance of harming humans or wildlife with which they come into contact, and also to reduce their chance of becoming stuck in complex environments. Furthermore, the efficiency of anguilliform swimming may enable long duration operation. However, the design and fabrication of soft anguilliform swimming robots remain challenging. Here we present a design concept for a modular soft anguilliform robot. To address the challenge of consistently fabricating modules for this design, we also present a new fabrication method that combines injection molding and lost-core molding for the consistent fabrication of bi-directional fluidic elastomer actuator modules. We evaluate the consistency of the fabrication method through visual inspection, weight measurements, bending angle measurements and the measurement of force output of the actuator. This work represents a step towards an autonomous eel-inspired soft robot, as well as a new fabrication approach that may enable a number of other new soft robotic systems.

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