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Conference on Lasers and Electro-Optics Europe (CLEO EUROPE)

作者： Anton A. Trifonov Khosro Zangeneh Kamali Kaloyan Georgiev Lei Xu Giulia Crotti Unai Arregui Leon Mohsen Rahmani Giuseppe Della Valle Ivan Buchvarov Dragomir Neshev Physics Department John Atanasoff Center for Bio and Nano Photonics (JAC BNP) Sofia University “St. Kl. Ohridski” Sofia Bulgaria Dept. of Electronics Materials Engineering ARC Centre of Excellence for Transformative Meta-Optical Systems (TMOS) Research School of Physics Australian National University ACT 2601 Australia Department of Engineering Advanced Optics and Photonics Laboratory School of Science and Technology Nottingham Trent University Nottingham United Kingdom Dipartimento di Fisica - Politecnico di Milano Milano Italy

ISBN: (纸本)9798350345995

Ultra-fast modulation of dielectric metasurfaces has shown a great promise for novel optical switching [1] and wavelength conversion [2]. A number of mechanisms have been recently explored, however the overall transmission modulation in such all-optical processes has remained low, typically a few percents. To increase the modulation contrast, high-quality factor metasurfaces manufactured on stable materials are required. Here, we demonstrate a high-contrast transmission modulation metasurface with ultra-fast response. In our metasurface design, the interference of the non-radiative asymmetric bound-state in the continuum (BIC) channel and a radiative electric dipole form a kink-type transmission response. Based on this engineered response, we demonstrate absolute transmission modulation of over 25% with a few tens of picoseconds time-response, driven by carrier injection in the crystalline silicon metasurface.

关键词： Coupled mode theory Finite-difference time-domain method Metasurfaces Modulation Scanning electron microscopy Wavelength conversion

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Comparative Analysis of Organic chemical Compositions in Airborne Particulate Matter from Ulaanbaatar, Beijing, and Seoul Using UPLC-FT-ICR-MS and Artificial Neural Network

SSRN

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SSRN 2023年

作者： Son, Seungwoo Park, Moonhee Jang, Kyoung-Soon Lee, Ji Yi Wu, Zhijun Natsagdorj, Amgalan Kim, Young Hwan Kim, Sunghwan Department of Chemistry Kyungpook National University Daegu41566 Korea Republic of Bio-Chemical Analysis Team Korea Basic Science Institute Cheongju28119 Korea Republic of Department of Bio-Analytical Science University of Science and Technology Daejeon34113 Korea Republic of Department of Environmental Science and Engineering Ewha Womans University Seoul03760 Korea Republic of State Joint Key Laboratory of Environmental Simulation and Pollution Control College of Environmental Sciences and Engineering Peking University Beijing100871 China Department of Chemistry School of Arts and Sciences National University of Mongolia Ulaanbaatar14201 Mongolia Graduate School of Analytical Science and Technology Chungnam National University Daejeon34134 Korea Republic of Mass Spectrometry Convergence Research Center Green-Nano Materials Research Center Daegu41566 Korea Republic of

This paper presents comparative study on the composition and sources of PM2.5 in Ulaanbaatar, Beijing, and Seoul. Ultrahigh performance liquid chromatography (UPLC) combined with ultrahigh resolution mass spectrometry (UHR-MS) were employed to analyze 85 samples collected in winter. The obtained 340 spectra were interpreted with artificial neural network (ANN). PM2.5 mass concentrations in Ulaanbaatar were significantly higher than in Beijing and Seoul. ANN based interpretation of UPLC UHR-MS data showed that aliphatic/lipid derived organo-sulfur compounds, polycyclic aromatic and organo-oxygen compounds were characteristic to Ulaanbaatar. Whereas, aliphatic/lipid-derived organo-oxygen compounds were major components in Beijing and Seoul. Aromatic organo-nitrogen compounds were the main contributors to differentiating the spectra obtained from Beijing from the other cities. Based on two-dimensional gas chromatography/high resolution mass spectrometric (GC×GC/HRMS) data, it was determined that the concentrations of the polycyclic aromatic hydrocarbon (PAH) and polycyclic aromatic sulfur heterocycle (PASH) containing sulfur were highest in Ulaanbaatar, followed by Beijing and Seoul. Coal/biomass combustion was identified as the primary source of contamination in Ulaanbaatar, while petroleum combustion was the main contributor to PM2.5 in Beijing and Seoul. The conclusion that diesel-powered heavy-duty trucks and buses are the main contributors to NOx emissions in Beijing is consistent with previous reports. This study provides a more comprehensive understanding of the composition and sources of PM2.5 in the three cities, with a focus on the differences in their atmospheric pollution profiles based on the UPLC UHR-MS and ANN analysis. It is notable that this study is the first to utilize this method on a large-scale sample set, providing a more detailed and molecular-level understanding of the compositional differences among PM2.5. Overall, the study contributes to a b

关键词： Polycyclic aromatic hydrocarbons

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A Zeroth-Order Momentum Method for Risk-Averse Online Convex Games

A Zeroth-Order Momentum Method for Risk-Averse Online Convex...

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IEEE Conference on Decision and control

作者： Zifan Wang Yi Shen Zachary I. Bell Scott Nivison Michael M. Zavlanos Karl H. Johansson Division of Decision and Control Systems School of Electrical Enginnering and Computer Science KTH Royal Institute of Technology Digital Futures Stockholm Sweden Department of Mechanical Engineering and Materials Science Duke University Durham NC USA Air Force Research Laboratory Eglin AFB FL USA

ISBN: (数字)9781665467612

ISBN: (纸本)9781665467629

We consider risk-averse learning in repeated unknown games where the goal of the agents is to minimize their individual risk of incurring significantly high cost. Specifically, the agents use the conditional value at risk (CVaR) as a risk measure and rely on bandit feedback in the form of the cost values of the selected actions at every episode to estimate their CVaR values and update their actions. A major challenge in using bandit feedback to estimate CVaR is that the agents can only access their own cost values, which, however, depend on the actions of all agents. To address this challenge, we propose a new risk-averse learning algorithm with momentum that utilizes the full historical information on the cost values. We show that this algorithm achieves sub-linear regret and matches the best known algorithms in the literature. We provide numerical experiments for a Cournot game that show that our method outperforms existing methods.

关键词： Costs Estimation Games Numerical simulation Standards

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Preparation and Characterization of Novel Niln2s4/Uio-66 Photocatalysts for the Efficient Degradation of Antibiotics in Water

SSRN

引用

SSRN 2022年

作者： Wang, Anhu Liang, Huagen Chen, Fu Tian, Xinlong Jing, Shengyu Tsiakaras, Panagiotis Jiangsu Key Laboratory of Coal-based Greenhouse Gas Control and Utilization Low Carbon Energy Institute China University of Mining and Technology Xuzhou221008 China School of Materials Science and Engineering China University of Mining and Technology Xuzhou221008 China Key Laboratory of Fuel Cell Technology of Guangdong Province Guangzhou510640 China State Key Laboratory of Marine Resource Utilization in South China Sea Hainan Provincial Key Lab of Fine Chemistry School of Chemical Engineering and Technology Hainan University Haikou570228 China School of Information and Control Engineering China University of Mining and Technology Jiangsu Xuzhou221008 China Laboratory of Alternative Energy Conversion Systems Department of Mechanical Engineering School of Engineering University of Thessaly 1 Sekeri Str. Pedion Areos 38834 Greece

Photocatalysis is considered an economical, environmentally friendly, and effective technology for removing pollutants. The construction of Z-Scheme heterojunctions has been identified as one of the feasible solutions capable of enhancing the photocatalytic activity. Herein, a series of visible light responsive photocatalysts (NiIn2S4/Uio-66 composites) with excellent activity and stability were prepared by using a solvothermal process. It is found that 20 mg L-1 of tetracycline (TC) could be almost completely degraded under visible light irradiation within 1 h, when the mass ratio of NiIn2S4 to Uio-66 is 0.5:1 (NISU-0.5) and the solution pH=11. In addition, after six cycles, the degradation rate of tetracycline photocatalyzed by NISU-0.5 still reach up to 90%. Ultraviolet photoelectron spectra (UPS), X-ray photoelectron spectra (XPS) and electron spin resonance measurements (ESR) confirm the formation of the Z-Scheme heterostructure between NiIn2S4 and Uio-66. The synergistic effect between built-in electric field, energy band bending and coulomb interactions in interface of Z-Scheme heterojunction is conducive to restrain the recombination of photogenerated electrons and holes, which greatly improve the photocatalytic activity. In conclusion, this study offers a new thought for design and synthesis of Z-Scheme heterojunctions and provides a cost-effective strategy for solving environmental pollution and energy problems in the future. © 2022, The Authors. All rights reserved.

关键词： Nickel compounds

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Soft Ball-Based Triboelectric-Electromagnetic Hybrid Nanogenerators for Wave Energy Harvesting

SSRN

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SSRN 2022年

作者： Cao, Changyong Pang, Yaokun Su, Jiaji Fang, Yuhui Wang, Huigang Tan, Yeqiang State Key Laboratory of Bio-Fibers and Eco-Textiles Collaborative Innovation Center of Marine Biobased Fiber and Ecological Textile Technology Institute of Marine Biobased Materials School of Materials Science and Engineering Qingdao University Qingdao266071 China Department of Mechanical and Aerospace Engineering Case Western Reserve University ClevelandOH44106 United States 4D Maker LLC OkemosMI48864 United States Department of Electrical Computer and Systems Engineering Case Western Reserve University ClevelandOH44106 United States

Triboelectric nanogenerator (TENG), as an emerging energy harvesting technology, provides a new cost-effective strategy to harvest water wave energy due to the broad selections of triboelectric materials and the high efficiency in low-frequency energy harvesting. Here, we present a novel triboelectric-electromagnetic hybrid nanogenerator (TEHG) consisting of a soft ball-based triboelectric nanogenerator (SB-TENG) and an electromagnetic generator (EMG) for effectively harvesting water wave energy. The moving soft balls are utilized as one triboelectric layer to increase the contact area with the copper electrodes, and a multilayered structural design is employed to maximize the device's available space. The critical parameters that may affect the energy harvesting performance of the SB-TENG are investigated, including the type of the filled liquids, the thickness of the silicone shell, the number of layers, and the properties of the soft balls. Further, we characterize the output performance of the new TEHG under two basic working modes: translational mode and swing mode, at various frequencies, amplitudes, and orientation angles. Under an operating frequency of 1 Hz, the SB-TENG and the EMG can reach a maximum output peak power of 0.5 mW and 8.5 mW, respectively. The TEHG has been demonstrated to be capable of powering dozens of LEDs and driving a digital temperature sensor for long-term monitoring of the water temperature. This study not only provides a novel design and approach to improve the output performance of TENGs, but also presents a great prospect for building a self-powered water sensing system driven by low-frequency water waves. © 2022, The Authors. All rights reserved.

关键词： Nanogenerators

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Development of Linear Battery Model for Path Planning with Mixed Integer Linear Programming: Simulated and Experimental Validation

arXiv

引用

arXiv 2022年

作者： Scott, Drew Manyam, Satyanarayana G. Casbeer, David W. Kumar, Manish Weintraub, Isaac E. Rothenberger, Michael J. Department of Mechanical and Materials Engineering University of Cincinnati United States Infoscitex Corp. A DCS Company DaytonOH45431 United States Cooperative & Intelligent Control Control Science Center Air Force Research Laboratory WPAFB OH45433 United States Control Science Center Air Force Research Laboratory WPAFB OH45433 United States Flight Systems Integration Branch Air Force Research Laboratory WPAFB OH45433 United States

Mixed Integer Linear Programs (MILPs) are often used in the path planning of both ground and aerial vehicles. Such a formulation of the path planning problem requires a linear objective function and constraints, limiting the fidelity of the the tracking of vehicle states. One such parameter is the state of charge of the battery used to power the vehicle. Accurate battery state estimation requires nonlinear differential equations to be solved. This state estimation is important in path planning to ensure flyable paths, however when using MILPs to formulate the path planning problem these nonlinear equations cannot be implemented. Poor accuracy in battery estimation during the path planning runs the risk of the planned path being feasible by the estimation model but in reality will deplete the battery to a critical level. To the end of higher accuracy battery estimation within a MILP, we present here a simple linear battery model which predicts the change in state-of-charge (SOC) of a battery given a power draw and duration. This model accounts for changes in battery voltage due to applied electrical load and changes in battery SOC. The battery model is presented and then tested against alternate battery models in numerical and in experimental tests. Further, the effect the proposed linear model has over a simpler SOC estimation on the time-to-solve a resource constrained shortest path problem is also evaluated, implemented in two different algorithms. It is seen that the linear model performs well in battery state estimation while remaining implementable in a Linear Program or MILP, with little affect on the time-to-solve. © 2022, CC BY-SA.

关键词： Nonlinear equations

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The Role of Surface Termination in Halide Perovskites for Efficient Photocatalytic Synthesis

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Angewandte Chemie 2020年第31期132卷 13031-13037页

作者： Dong Y. Li K. Luo W. Zhu C. Guan H. Wang H. Wang L. Deng K. Zhou H. Xie H. Bai Y. Li Y. Chen Q. Experimental Center of Advanced Materials Beijing Key Laboratory of Nanophotonics and Ultrafine Optoelectronic Systems School of Materials Science and Engineering Beijing Institute of Technology Beijing 100081 China School of Chemistry and Chemical Engineering Southwest Petroleum University Chengdu 610500 China Key Laboratory of Agro-products Quality and Safety Control in Storage and Transport Process Ministry of Agriculture and Rural Affairs/Institute of Food Science and Technology Chinese Academy of Agricultural Sciences Beijing 100193 China Department of Materials Science and Engineering College of Engineering Peking University Beijing 100871 China School of Physics and Electronics Central South University Changsha Hunan 410083 China

Halide perovskites have received attention in the field of photocatalysis owing to their excellent optoelectronic properties. However, the semiconductor properties of halide perovskite surfaces and the influence on photocatalytic performance have not been systematically clarified. Now, the conversion of triose (such as 1,3-dihydroxyacetone (DHA)) is employed as a model reaction to explore the surface termination of MAPbI3. By rational design of the surface termination for MAPbI3, the production rate of butyl lactate is substantially improved to 7719 μg g−1 cat. h−1 under visible-light illumination. The MAI-terminated MAPbI3 surface governs the photocatalytic performance. Specially, MAI-terminated surface is susceptible to iodide oxidation, which thus promotes the exposure of PbII as active sites for this photocatalysis process. Moreover, MAI-termination induces a p-doping effect near the surface for MAPbI3, which facilitates carrier transport and thus photosynthesis. © 2020 Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim

关键词： halide perovskite iodide vacancies photocatalysis surface termination triose

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Efficient Full-frequency GW Calculations using a Lanczos Method

arXiv

引用

arXiv 2023年

作者： Gao, Weiwei Tang, Zhao Zhao, Jijun Chelikowsky, James R. Key Laboratory of Materials Modification by Laser Ion and Electron Beams Ministry of Education Dalian University of Technology Dalian116024 China Center for Computational Materials Oden Institute for Computational Engineering and Sciences The University of Texas at Austin AustinTX78712 United States Key Laboratory of Atomic and Subatomic Structure and Quantum Control Ministry of Education Guangdong Basic Research Center of Excellence for Structure and Fundamental Interactions of Matter School of Physics South China Normal University Guangzhou510006 China Department of Physics The University of Texas at Austin AustinTX78712 United States McKetta Department of Chemical Engineering The University of Texas at Austin AustinTX78712 United States

The GW approximation is widely used for reliable and accurate modeling of single-particle excitations. It also serves as a starting point for many theoretical methods, such as its use in the Bethe-Salpeter equation (BSE) and dynamical mean-field theory. However, full-frequency GW calculations for large systems with hundreds of atoms remain computationally challenging, even after years of efforts to reduce the prefactor and improve scaling. We propose a method that reformulates the correlation part of the GW self-energy as a resolvent of a Hermitian matrix, which can be efficiently and accurately computed using the standard Lanczos method. This method enables full-frequency GW calculations of material systems with a few hundred atoms on a single computing workstation. We further demonstrate the efficiency of the method by calculating the defect-state energies of silicon quantum dots with diameters up to 4 nm and nearly 2,000 silicon atoms using only 20 computational nodes. Copyright © 2023, The Authors. All rights reserved.

关键词： Atoms

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Exploring parity magnetic effects through quantum simulation with superconducting qubits

引用

Physical Review Applied 2024年第3期21卷 034052-034052页

作者： Yu Zhang Yan-Qing Zhu Jianwen Xu Wen Zheng Dong Lan Giandomenico Palumbo Nathan Goldman Shi-Liang Zhu Xinsheng Tan Z.D. Wang Yang Yu National Laboratory of Solid State Microstructures School of Physics Nanjing University Nanjing 210093 China Shishan Laboratory Suzhou Campus of Nanjing University Suzhou 215000 China Guangdong-Hong Kong Joint Laboratory of Quantum Matter Department of Physics and HK Institute of Quantum Science & Technology The University of Hong Kong Pokfulam Road Hong Kong China Hefei National Laboratory Hefei 230088 China School of Theoretical Physics Dublin Institute for Advanced Studies 10 Burlington Road Dublin 4 Ireland Center for Nonlinear Phenomena and Complex Systems Université Libre de Bruxelles CP 231 Campus Plaine Brussels B-1050 Belgium Key Laboratory of Atomic and Subatomic Structure and Quantum Control (Ministry of Education) School of Physics South China Normal University Guangzhou 510006 China Guangdong Provincial Key Laboratory of Quantum Engineering and Quantum Materials Guangdong-Hong Kong Joint Laboratory of Quantum Matter South China Normal University Guangzhou 510006 China

We present a successful realization of four-dimensional semimetal bands featuring tensor monopoles, achieved using superconducting quantum circuits. Our experiment involves the creation of a highly tunable diamond energy diagram with four coupled transmons, and the parametric modulation of their tunable couplers, effectively mapping momentum space to parameter space. This approach enables us to establish a four-dimensional Dirac-like Hamiltonian with fourfold degenerate points. Moreover, we manipulate the energy of tensor monopoles by introducing an additional pump microwave field, generating effective magnetic and pseudoelectric fields and simulating topological parity magnetic effects emerging from the parity anomaly. Utilizing nonadiabatic response methods, we measure the fractional second Chern number for a Dirac valley with a varying mass term, signifying a nontrivial topological phase transition connected to a five-dimensional Yang monopole. Our work lays the foundation for further investigations into higher-dimensional topological states of matter and enriches our comprehension of topological phenomena.

关键词： Electronic structure Quantum circuits Quantum information with solid state qubits Quantum simulation Topological phases of matter Dirac semimetal Magnetic monopoles Superconducting qubits

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A Zeroth-Order Momentum Method for Risk-Averse Online Convex Games

arXiv

引用

arXiv 2022年

作者： Wang, Zifan Shen, Yi Bell, Zachary I. Nivison, Scott Zavlanos, Michael M. Johansson, Karl H. Division of Decision and Control Systems School of Electrical Enginnering and Computer Science KTH Royal Institute of Technology StockholmSE-10044 Sweden The Department of Mechanical Engineering and Materials Science Duke University DurhamNC United States The Air Force Research Laboratory Eglin AFB FL United States

关键词： Learning algorithms

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