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Wearable and interactive multicolored photochromic fiber display

Light(science & Applications) 2024年第3期13卷 454-465页

作者： Pan Li Yuwei Wang Xiaoxian He Yuyang Cui Jingyu Ouyang Ju Ouyang Zicheng He Jiayu Hu Xiaojuan Liu Hang Wei Yu Wang Xiaoling Lu Qian Ji Xinyuan Cai Li Liu Chong Hou Ning Zhou Shaowu Pan Xiangru Wang Huamin Zhou Cheng-Wei Qiu Yan-Qing Lu Guangming Tao State Key Laboratory of Material Processing and Die&Mould Technology School of Materials Science and Engineering and Wuhan National Laboratory for OptoelectronicsHuazhong University of Science and TechnologyWuhan 430074China Key Laboratory of Vascular Aging(HUST) Ministry of EducationWuhan 430030China School of Optoelectronic Science and Engineering University of Electronic Science and Technology of ChinaChengdu 611731China Department of Electrical and Computer Engineering National University of SingaporeSingapore 117583Singapore National Laboratory of Solid State Microstructures Key Laboratory of Intelligent Optical Sensing and ManipulationCollege of Engineering and Applied Sciencesand Collaborative Innovation Center of Advanced MicrostructuresNanjing UniversityNanjing 210023China School of Performing Arts Wuhan Conservatory of MusicWuhan 430060China School of Mechanical Science and Engineering Huazhong University of Science and TechnologyWuhan 430074China School of Architecture and Urban Planning Huazhong University of Science and TechnologyWuhan 430074China School of Fashion Beijing Institute of Fashion TechnologyBeijing 100029China School of Optical and Electronic Information Huazhong University of Science and TechnologyWuhan 430074China Tongji Medical College Huazhong University of Science and TechnologyWuhan 430074China State Key Laboratory for Modification of Chemical Fibers and Polymer Materials College of Materials Science and EngineeringDonghua UniversityShanghai 201620China

Endowing flexible and adaptable fiber devices with light-emitting capabilities has the potential to revolutionize the current design philosophy of intelligent,wearable interactive ***,significant challenges remain in developing fiber devices when it comes to achieving uniform and customizable light effects while utilizing lightweight ***,we introduce a mass-produced,wearable,and interactive photochromic fiber that provides uniform multicolored light *** designed independent waveguides inside the fiber to maintain total internal reflection of light as it traverses the *** impact of excessive light leakage on the overall illuminance can be reduced by utilizing the saturable absorption effect of fluorescent materials to ensure light emission uniformity along the transmission *** addition,we coupled various fluorescent composite materials inside the fiber to achieve artificially controllable spectral radiation of multiple color systems in a single *** prepared fibers on mass-produced kilometer-long using the thermal drawing *** fibers can be directly integrated into daily wearable devices or clothing in various patterns and combined with other signal input components to control and display patterns as *** work provides a new perspective and inspiration to the existing field of fiber display interaction,paving the way for future human–machine integration.

关键词： fiber interactive colored

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Curriculum-based Reinforcement Learning for an Effective Multi-Agent Path Planning Algorithm in Warehouse Scenarios 15

Curriculum-based Reinforcement Learning for an Effective Mul...

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15th IEEE International Conference on Industry Applications, INDUSCON 2023

作者： de Oliveira, Iure Rosa L. de Carvalho, Kevin B. Brandão, Alexandre S. Graduate Program in Computer Science Universidade Federal de Viçosa Viçosa Brazil Electrical Engineering Department Universidade Federal de Viçosa Viçosa Brazil

ISBN: (纸本)9798350314182

Multi-robot systems can provide substantial increase in efficiency and/or flexibility in different scenarios. Applications in various settings have been studied in the literature, such as disaster management, surveillance, object transportation as well as search-and-rescue. A particular case that can highly benefit from the employment of multiple agents is the logistics in a warehouse scenario. This work proposes an multi-agent Q-learning based algorithm with curriculum learning and transfer learning to perform the path planning process. With progressively more complex stages of training as well as knowledge transfer from one stage to another, the algorithm is capable of achieve high success rates. In order to validate the proposed method, simulations were done to compare it to other combinations of the used techniques, as well as using Q-learning only. Scalability tests were also performed. The proposed method achieved up to 94% success rate after training. © 2023 IEEE.

关键词： Curriculum Learning Mobile Robotics Multi-Agent System Reinforcement Learning Transfer Learning

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Design of Microscale Magnetic Controls for Magnetic-Field Driven Actuation

Design of Microscale Magnetic Controls for Magnetic-Field Dr...

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2023 IEEE International Magnetic Conference - Short Papers, INTERMAG Short Papers 2023

作者： Cestarollo, Ludovico Cantu, Rodolfo Srinivasan, Karthik El-Ghazaly, Amal Cornell University Department of Materials Science and Engineering IthacaNY14853 United States The University of Texas at Austin Department of Mechanical Engineering AustinTX78712 United States Cornell University Department of Electrical and Computer Engineering IthacaNY14853 United States

ISBN: (纸本)9798350338362

Magnetic actuators require reproducible, small-scale approaches for controlling the magnetic field gradient and direction used to drive the actuation. Here a system of two control magnets is designed to generate the local magnetic fields that are required to actuate a magnetic system and elicit microscale, local deflections. The two control magnets are engineered to have magnetizations preferentially pointing along two orthogonal axes, leading to the coupling of the magnetic flux densities between them and the generation of a field (and gradient) localized with micrometer resolution. To demonstrate the ability of this field to exert an actuation force on a magnetic material, a system composed of the two control magnets and a microscale magnetic beam/cantilever is designed and simulated. © 2023 IEEE.

关键词： Magnetic anisotropy

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Grating Coupled Attachment of Optical Fiber Arrays for in Situ Photonics Experimentation

Grating Coupled Attachment of Optical Fiber Arrays for in Si...

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Conference on Lasers and Electro-Optics (CLEO)

作者： Kellen P. Arnold Joel B. Slaby Hannah M. Dattilo C. Alex Kaylor Ronald D. Schrimpf Daniel M. Fleetwood Stephen E. Ralph Robert Reed Sharon M. Weiss Interdisciplinary Materials Science Program Vanderbilt University Nashville TN USA School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA USA Department of Electrical and Computer Engineering Vanderbilt University Nashville TN USA

We report a simple, vacuum-compatible fiber attach process for in situ study of grating-coupled photonic devices. The robustness of this technique is demonstrated on grating-coupled waveguides exposed to multiple X-ra... 详细信息

ISBN: (纸本)9798350369311

关键词： Optical fibers Radiation effects X-ray lasers Waveguide lasers Fiber gratings Robustness Optical fiber devices Arrayed waveguide gratings Photonics Optical arrays

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Leidenfrost droplet billiard balls

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Physical Review Fluids 2024年第11期9卷 L111601-L111601页

作者： Yukai Lin Canjun Zhao Fuqiang Chu Xiaomin Wu Nenad Miljkovic Key Laboratory for Thermal Science and Power Engineering of Ministry of Education Department of Energy and Power Engineering Tsinghua University Beijing 100084 China School of Energy and Environmental Engineering University of Science and Technology Beijing Beijing 100083 China Department of Mechanical Science and Engineering University of Illinois at Urbana-Champaign Urbana Illinois 61801 USA Department of Electrical and Computer Engineering University of Illinois at Urbana-Champaign Urbana Illinois 61801 USA Materials Research Laboratory University of Illinois at Urbana-Champaign Urbana Illinois 61801 USA Institute for Sustainability Energy and Environment (iSEE) University of Illinois Urbana Illinois USA International Institute for Carbon Neutral Energy Research (WPI-I2CNER) Kyushu University 744 Moto-oka Nishi-ku Fukuoka 819-0395 Japan

We report the observation of two identical Leidenfrost droplets rebounding from each other after a head-on collision on a hot surface, resembling billiard ball collision. The observed phenomenon contradicts the established understanding that predicts the coalescence of two colliding Leidenfrost droplets. The collision dynamics of the Leidenfrost droplets is investigated using pressure and energy balance analysis at the macroscale, and a molecular interaction analysis at the nanoscale. The results suggest that droplet properties and the temperature of the hot surface determine the state of the gas film between the colliding droplets. Droplets with lower surface tension form thicker gas films, while lower surface temperatures mitigate the interaction of vapor molecules within the gas film, both facilitating droplet rebound after their collision. The discovered Leidenfrost droplet phenomenon is highly controllable, and has potential for a variety of applications, such as the selective chemical synthesis as explored in this work.

关键词： Drop & bubble phenomena Heat transfer Multiphase flows Surface & interfacial phenomena

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Coupling monolayer transition metal dichalcogenide to a strain-tunable photonic crystal cavity

Coupling monolayer transition metal dichalcogenide to a stra...

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2023 Conference on Lasers and Electro-Optics, CLEO 2023

作者： Manna, Arnab Froch, Johannes E. Pumulo, Sinabu Cenker, John Barnard, Arthur Xu, Xiaodong Majumdar, Arka Department of Physics University of Washington SeattleWA98195 United States Department of Electrical & Computer Engineering University of Washington SeattleWA98195 United States Department of Materials Science and Engineering University of Washington SeattleWA98195 United States

We demonstrate a large in-situ strain tuning of cavity coupled photoluminescence of nanofabricated optical cavities integrated with a monolayer WSe2 using a piezo-strain device capable of operating at cryogenic temper... 详细信息

ISBN: (纸本)9781957171258

关键词： Monolayers

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On the Impact of Knowledge Distillation for Model Interpretability 40

On the Impact of Knowledge Distillation for Model Interpreta...

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40th International Conference on Machine Learning, ICML 2023

作者： Han, Hyeongrok Siwon, Kim Choi, Hyun-Soo Yoon, Sungroh Department of Electrical and Computer Engineering Seoul National University Seoul Korea Republic of Department of Computer Science and Engineering Seoul National University of Science and Technology Seoul Korea Republic of ZIOVISION Inc. Chuncheon Korea Republic of Interdisciplinary Program in Artificial Intelligence Seoul National University Seoul Korea Republic of

Several recent studies have elucidated why knowledge distillation (KD) improves model performance. However, few have researched the other advantages of KD in addition to its improving model performance. In this study, we have attempted to show that KD enhances the interpretability as well as the accuracy of models. We measured the number of concept detectors identified in network dissection for a quantitative comparison of model interpretability. We attributed the improvement in interpretability to the class-similarity information transferred from the teacher to student models. First, we confirmed the transfer of class-similarity information from the teacher to student model via logit distillation. Then, we analyzed how class-similarity information affects model interpretability in terms of its presence or absence and degree of similarity information. We conducted various quantitative and qualitative experiments and examined the results on different datasets, different KD methods, and according to different measures of interpretability. Our research showed that KD models by large models could be used more reliably in various fields. The code is available at https://***/Rok07/KD_***. © 2023 Proceedings of Machine Learning Research. All rights reserved.

关键词： Distillation

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Physics-informed Machine Learning for Accelerated Testing of Roll-To-roll Printed Sensors 17

Physics-informed Machine Learning for Accelerated Testing of...

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ASME 2022 17th International Manufacturing science and engineering Conference, MSEC 2022

作者： Chandra Mouli, S. Sedaghat, Sotoudeh Oduncu, Muhammed Ramazan Saha, Ajanta Rahimi, Rahim Alam, Muhammad A. Wei, Alexander Shakouri, Ali Ribeiro, Bruno Department of Computer Science Purdue University United States School of Materials Engineering Purdue University United States School of Electrical and Computer Engineering Purdue University United States

ISBN: (纸本)9780791885819

Roll-To-roll printing has significantly shortened the time from design to production of sensors and IoT devices, while being cost-effective for mass production. But due to less manufacturing tolerance controls available, properties such as sensor thickness, composition, roughness, etc., cannot be precisely controlled. Since these properties likely affect the sensor behavior, roll-To-roll printed sensors require validation testing before they can be deployed in the field. In this work, we improve the testing of Nitrate sensors that need to be calibrated in a solution of known Nitrate concentration for around 1-2 days. To accelerate this process, we observe the initial behavior of the sensors for a few hours, and use a physics-informed machine learning method to predict their measurements 24 hours in the future, thus saving valuable time and testing resources. Due to the variability in roll-To-roll printing, this prediction task requires models that are robust to changes in properties of the new test sensors. We show that existing methods fail at this task and describe a physics-informed machine learning method that improves the prediction robustness to different testing conditions ( 1:7 lower in real-world data and 5 lower in synthetic data when compared with the current state-ofthe-art physics-informed machine learning method). © Proceedings of ASME 2022 17th International Manufacturing science and engineering Conference, MSEC 2022.

关键词： Machine learning

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Vapor Transport Deposition of Metal-Halide Perovskites Solar Cells 24

Vapor Transport Deposition of Metal-Halide Perovskites Solar...

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Organic, Hybrid, and Perovskite Photovoltaics XXIV 2023

作者： Hsu, Wan-Ju Pettit, Emma C. Swartwout, Richard Kadosh, Tamar Srinivasan, Shreyas Wassweiler, Ella L. Bulović, Vladimir Holmes, Russell J. Department of Chemical Engineering and Materials Science University of Minnesota MinneapolisMN55455 United States Department of Electrical and Computer Engineering Massachusetts Institute of Technology CambridgeMA02139 United States Department of Materials Science and Engineering Massachusetts Institute of Technology CambridgeMA02139 United States Department of Chemistry Massachusetts Institute of Technology CambridgeMA02139 United States

ISBN: (纸本)9781510665347

Photovoltaics based on metal-halide perovskites (MHPs) have exceeded the performance of other thin film technologies. However, there are challenges that frustrate the use of current MHP synthesis techniques for large-scale manufacturing. Here, efficient solar cells are demonstrated based on an active layer of methylammonium lead iodide (MAPbI3) codeposited via vapor transport deposition (VTD). Our system design enables different source temperatures and carrier gas flow rates for the individual precursors, allowing precursor co-deposition and control over perovskite film composition. VTD-processed devices based on an active layer of MAPbI3 realize power conversion efficiencies >10% under AM1.5G solar simulated illumination. © 2023 SPIE. All rights reserved.

关键词： Metal halides

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Tuning the number of chiral edge channels in a fixed quantum anomalous Hall system

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Physical Review B 2024年第20期109卷 L201402-L201402页

作者： Peng Deng Yulei Han Peng Zhang Su Kong Chong Zhenhua Qiao Kang L. Wang Beijing Academy of Quantum Information Sciences Beijing 100193 China Department of Electrical and Computer Engineering University of California Los Angeles California 90095 USA Department of Physics Fuzhou University Fuzhou Fujian 350108 China International Center for Quantum Design of Functional Materials CAS Key Laboratory of Strongly-Coupled Quantum Matter Physics and Department of Physics University of Science and Technology of China Anhui 230026 China Hefei National Laboratory University of Science and Technology of China Hefei 230088 China

Quantum anomalous Hall (QAH) insulators exhibit chiral edge channels characterized by vanishing longitudinal conductance and quantized Hall conductance of Ce2/h, wherein the Chern number C is an integer equal to the number of the parallel chiral edge channels. These chiral edge channels conduct dissipationless transport in QAH insulators, making them pivotal for applications in low-consumption electronics and topological quantum computing. While the QAH effect with multiple chiral edge channels (i.e., C > 1) has been demonstrated in multilayers consisting of magnetic topological insulators and normal insulators, the channel number remains fixed for a given sample. Here, we unveil the tunability of the number of chiral edge channels within a single QAH insulator device. By tuning the magnetization of individual layers within the multilayer system, Chern insulating states with different Chern numbers are unveiled. The tunable Chern number was corroborated by our theoretical calculations. Furthermore, we conducted layer-dependent calculations to elucidate the contribution of the Chern number from different layers in the multilayer. Our findings demonstrate an extra degree of freedom in manipulating the chiral edge channels in QAH insulators. This tunability offers an extra dimension for the implementation of the QAH-based multichannel dissipationless transport.

关键词： Quantum anomalous Hall effect Quantum transport Topological insulators Molecular beam epitaxy

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