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arXiv 2023年

作者： Wang, Lehong Kendre, Savita V. Liu, Haotian Nemitz, Markus P. Robotic Materials Group Department of Robotics Engineering Worcester Polytechnic Institute MA01609 United States Department of Computer Science Worcester Polytechnic Institute MA01609 United States Department of Electrical and Computer Engineering Worcester Polytechnic Institute MA01609 United States

The current fabrication and assembly of fluidic circuits for soft robots relies heavily on manual processes;as the complexity of fluidic circuits increases, manual assembly becomes increasingly arduous, error-prone, and time-consuming. We introduce a software tool that generates printable fluidic networks automatically. We provide a library of fluidic logic elements that are easily 3D printed from thermoplastic polyurethanes using Fused Deposition Modeling only. Our software tool and component library allow the development of arbitrary soft digital circuits. We demonstrate a variable frequency ring oscillator and a full adder. The simplicity of our approach using FDM printers only, democratizes fluidic circuit implementation beyond specialized laboratories. Our software is available on GitHub (https://***/roboticmaterialsgroup/FluidLogic) Copyright © 2023, The Authors. All rights reserved.

关键词： computer software

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Cantilever Actuator Module for on-Command Drug Deployment from Ingestible Capsules 22

Cantilever Actuator Module for on-Command Drug Deployment fr...

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22nd International Conference on Solid-State Sensors, Actuators and Microsystems, Transducers 2023

作者： Levy, Joshua A. Straker, Michael A. Beardslee, Luke A. Ghodssi, Reza University Of Maryland Department Of Materials Science And Engineering College ParkMD United States University Of Maryland Institute For Systems Research College ParkMD United States University Of Maryland Robert E. Fischell Institute For Biomedical Devices College ParkMD United States University Of Maryland Fischell Department Of Bioengineering College ParkMD United States University Of Maryland Department Of Electrical And Computer Engineering College ParkMD United States

ISBN: (纸本)9784886864352

This manuscript demonstrates the first cantilever actuator for highly targeted and directionally specific delivery of drug-eluting microneedles to the gastrointestinal (GI) tract from ingestible devices. The actuator achieves the following advantages over current technology: on-command deployment in under 500 ms, low power consumption, spatial conservation, and prolonged deployment shelf life. These advancements enable integration of multiple actuators per device for multidirectional deployment. These attributes are achieved by the optimization of heater design and use of low-profile and highly relaxation resistant PEEK polymers. In all, these features enable higher delivery precision in both longitudinal and polar directions, potentiating site targeting in the GI tract. © 2023 IEEJ.

关键词： Cantilever Actuator Drug Delivery Microneedles Stress Relaxation

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Growth windows of epitaxial NbxN films on c-plane sapphire and their structural and superconducting properties

arXiv

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arXiv 2022年

作者： Wright, John G. Xing, Huili G. Jena, Debdeep Department of Materials Science and Engineering Cornell University IthacaNY14853 United States Department of Materials Science and Engineering Kavli Institute for Nanoscale Science School of Electrical and Computer Engineering Cornell University IthacaNY14853 United States

NbN films are grown on c-plane sapphire substrates by molecular beam epitaxy. The structural and superconducting properties of the film are characterized to demonstrate that growth parameters such as substrate temperature and active nitrogen flux effect the structural phase of films, and thereby the superconducting critical temperature. Four phases of NbN are identified for films grown in different conditions. In a novel finding, we demonstrate that atomically flat and highly crystalline β-Nb2N films can be grown at substrate temperatures of 1100 ◦C or higher, and that the superconducting critical temperature of phase pure β-Nb2N films is 0.35 K Copyright © 2022, The Authors. All rights reserved.

关键词： Niobium compounds

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Anisotropic excitonic photocurrent in β−Ga2O3

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Physical Review materials 2023年第6期7卷 L061601-L061601页

作者： Darpan Verma Md Mohsinur Rahman Adnan Sushovan Dhara Chris Sturm Siddharth Rajan Roberto C. Myers Department of Materials Science Engineering The Ohio State University Columbus Ohio 43210 USA Department of Electrical and Computer Engineering The Ohio State University Columbus Ohio 43210 USA Felix-Bloch-Institut für Festkörperphysik Universität Leipzig Linnéstrasse 5 04103 Leipzig Germany

Polarization-dependent photocurrent spectra are measured on a (001) β−Ga2O3 Schottky photodetector, where the linear polarization of light is rotated within the ab plane. Three spectral peaks at 4.92, 5.15, and 5.44 eV are observed that vary in intensity with the optical polarization direction. The peak transition energies are consistent with excitons previously reported in β−Ga2O3 due to interband transitions modified by the valence-band p-orbital anisotropy and the electron-hole Coulombic attraction. The measured polarization dependence of the photocurrent matches our predictions based on electromagnetic simulations of anisotropic absorption using the complex dielectric function tensor extracted from previous ellipsometry studies. These results illustrate the dominance of excitonic absorption and photocurrent in β−Ga2O3 both below and above the band gap, demonstrate a combined theoretical/experimental understanding of anisotropic photocarrier generation, and validate previous atomistic band-structure calculations in this low-symmetry ultrawide-band-gap semiconductor.

关键词： Excitons Wide band gap systems

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On the Evaluation of Access-point Handovers for UAVs in Long-distance Missions

On the Evaluation of Access-point Handovers for UAVs in Long...

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2021 International Conference on Unmanned Aircraft Systems, ICUAS 2021

作者： Fagundes, Leonardo A. Souza, Vitor Barbosa Brandao, Alexandre S. Núcleo de Especialização em Robótica Federal University of Viçosa Department of Electrical Engineering and Graduate Program on Computer Science Viçosa Brazil Federal University of Viçosa Graduate Program on Computer Science Department of Informatics Viçosa Brazil

ISBN: (纸本)9780738131153

Unmanned Aerial Vehicle (UAV) systems are being increasingly used in a broad range of applications requiring extensive communications either to interconnect the UAVs with each other or to connect them with Ground Control Stations (GCS). Due to the complexity and difficulty of performing long distance experiments with these robots, simulation becomes a viable and necessary alternative. However, focusing either on the modeling of UAV operations or communication dynamics, available simulation tools are not able to capture the complex interdependencies between these two aspects, especially in applications where extensive communications are required. The main contribution of this work is the modeling and implementation of strategies for enhancing connectivity of a UAV performing long-distance navigation tasks, taking into account applications' requirements. The proposed strategies aim at assessing the impact of frequent handovers between wireless access points in terms of packet loss and available bandwidth. The first strategy prioritizes maintaining a connection until the signal-to-noise ratio (SNR) observed by the robot reaches a predefined threshold. For this, it is assumed that the data to be transmitted is small enough so that the robot may change its modulation to obtain smaller bandwidths while improving connection time. The second one prioritizes bandwidth availability, thus, it always searches for a network that is able to offer data rates higher than a minimum threshold. A hybrid model is validated by considering the characteristics of each individual strategy. The capabilities of the simulation tool designed for this work are illustrated through some case-study scenarios. © 2021 IEEE.

关键词： Unmanned aerial vehicles (UAV)

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

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

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IEEE/IAS International Conference on Industry Applications (INDUSCON)

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

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.

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Dispersion of cobalt ferrite functionalized graphene nanoplatelets in PLA for EMI shielding applications 36

Dispersion of cobalt ferrite functionalized graphene nanopla...

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36th Technical Conference of the American Society for Composites 2021: Composites Ingenuity Taking on Challenges in Environment-Energy-Economy, ASC 2021

作者： Anurakparadorn, Kanat Taub, Alan Michielssen, Eric Department of Materials Science and Engineering Macromolecular Science and Engineering Program University of Michigan 2300 Hayward St Ann ArborMI48109 United States Department of Mechanical Engineering University of Michigan 2350 Hayward St Ann ArborMI48109 United States Department of Electrical Engineering and Computer Science University of Michigan 1310 Beal Ave Ann ArborMI48109 United States

ISBN: (纸本)9781713837596

The proliferation of wireless technology calls for the development of cost-effective Electromagnetic Interference (EMI) shielding materials that reduce the susceptibility of high-speed electronic circuits to undesired incoming radiation. Ideally, such materials offer protection over wide frequency ranges and are insensitive to the polarization or angle of incidence of the impinging fields. Here, next-generation EMI shielding materials composed of polymer composites with conductive and magnetic fillers are introduced. It is shown that careful control of the concentration and dispersion of the polymers’ conductive and magnetic constituents permits tuning of the composites’ intrinsic electrical and magnetic properties. The resulting EMI shields are lightweight, cheap and offer greater protection than traditional metal gaskets and foams. In this work, cobalt ferrite magnetic nanoparticles (CoFe2O4) decorated on graphene-based material were dispersed in polylactic acid (PLA) matrix for high EM absorption level in X-band (8-12 GHz). The decoration of the magnetic particles was performed on the as-prepared conductive graphene nanoplatelets (GNP) and reduced graphene oxide (rGO). GNP composites exhibited higher DC conductivity, and permittivity than rGO composites. This is attributed to issues associated with the reduction process, including a lack of conductivity due to the insulated oxygen functional groups and the reduction in the lateral size. Compared with rGOs, the lack of out-plane functional groups causes the cobalt ferrite nanoparticles to agglomerate and not cover the entire surface of the GNPs. These morphological differences improve the magnetization and EM absorption of the composite system. The compatibilizer (pyrene-PLA-OH) was added to the composites to enhance dispersion of the GNPs in the polymer matrix which benefits in higher absorption of the shield. The influence of the compatibilizer on parameter, the reflection loss (RL) of the composite were determi

关键词： Cost effectiveness

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Fluoropolymer-based organic memristor with multifunctionality for flexible neural network system

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npj Flexible Electronics 2021年第1期5卷 296-303页

作者： Min-Hwi Kim Hea-Lim Park Min-Hoi Kim Jaewon Jang Jin-Hyuk Bae In Man Kang Sin-Hyung Lee School of Electrical and Computer Engineering Seoul National University1 Gwanak-roGwanak-guSeoul 08826Republic of Korea Department of Materials Science and Engineering Seoul National University of Science and TechnologySeoul 01811Republic of Korea Department of Creative Convergence Engineering Hanbat National UniversityYuseong-guDaejeon 305-719Republic of Korea School of Electronics Engineering and School of Electronic and Electrical EngineeringKyungpook National University80 Daehak-roBuk-guDaegu 702-701Republic of Korea

In this study,we propose an effective strategy for achieving the flexible one organic transistor–one organic memristor(1T–1R)synapse using the multifunctional organic *** dynamics of the conductive nanofilament(CF)in a hydrophobic fluoropolymer medium is explored and a hydrophobic fluoropolymer-based organic memristor is *** flexible 1T–1R synapse can be fabricated using the solution process because the hydrophobic fluorinated polymer layer is produced on the organic transistor without degradation of the underlying *** developed flexible synapse exhibits multilevel conductance with high reliability and stability because of the fluoropolymer film,which acts as a medium for CF growth and an encapsulating layer for the organic ***,the synapse cell shows potential for high-density memory systems and practical neural *** effective concept for developing practical flexible neural networks would be a basic platform to realize the smart wearable electronics.

关键词： transistor network neural

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Mechanism for plasmon-generated solvated electrons

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Proceedings of the National Academy of sciences of the United States of America 2023年第3期120卷 e2217035120-e2217035120页

作者： Al-Zubeidi, Alexander Ostovar, Behnaz Carlin, Claire C. Li, Boxi Cam Lee, Stephen A. Chiang, Wei-Yi Gross, Niklas Dutta, Sukanya Misiura, Anastasiia Searles, Emily K. Chakraborty, Amrita Roberts, Sean T. Dionne, Jennifer A. Rossky, Peter J. Landes, Christy F. Link, Stephan Department of Chemistry Rice University Houston 77005 TX United States Center for Adapting Flaws into Features Rice University Houston 77005 TX United States Department of Electrical and Computer Engineering Rice University Houston 77005 TX United States Department of Applied Physics Stanford University Stanford 94305 CA United States Department of Chemistry University of Texas at Austin Austin 78712 TX United States Department of Materials Science and Engineering Stanford University Stanford 94305 CA United States Department of Radiology Stanford University Stanford 94305 CA United States Department of Chemical and Biomolecular Engineering Rice University Houston 77005 TX United States

Solvated electrons are powerful reducing agents capable of driving some of the most energetically expensive reduction reactions. Their generation under mild and sustainable conditions remains challenging though. Using near-ultraviolet irradiation under low-intensity one-photon conditions coupled with electrochemical and optical detection, we show that the yield of solvated electrons in water is increased more than 10 times for nanoparticle-decorated electrodes compared to smooth silver electrodes. Based on the simulations of electric fields and hot carrier distributions, we determine that hot electrons generated by plasmons are injected into water to form solvated electrons. Both yield enhancement and hot carrier production spectrally follow the plasmonic near-field. The ability to enhance solvated electron yields in a controlled manner by tailoring nanoparticle plasmons opens up a promising strategy for exploiting solvated electrons in chemical reactions. Copyright © 2023 the Author(s).

关键词： hot carriers hydrated electrons nanoparticles photoemission

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Exploring Shifted Domain Problem within MNIST Dataset

Exploring Shifted Domain Problem within MNIST Dataset

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computer science, Information Technology and engineering (ICCoSITE), International Conference on

作者： Hidayaturrahman Yaya Heryadi Lukas Wayan Suparta Yulyani Arifin Computer Science Department BINUS Graduate Program – Computer Science Bina Nusatara University Jakarta Indonesia Cognitive Engineering Research Group (CERG) Faculty of Engineering Universitas Katolik Indonesia Atma Jaya Jakarta Indonesia Department of Electrical Engineering Faculty of Industrial Technology Institut Teknologi Nasional Yogyakarta Yogyakarta Indonesia

Domain data can be shifted in any direction so it will be shared in different distributions to its original domain. This could be a problem since the model was trained with different distributions. It is found that adversarial domain adaptation using domain adversarial neural networks (DANN) can help to solve this problem on some scale. DANN can minimize the discrepancy between source and target data so the model can work well in both domains. The experiment is done by utilizing MNIST dataset that shifted into some conditions. In a condition when the shifting of distribution is too far, DANN is struggling to maintain the knowledge extracted from source data which leads to underperformance in the source and target domain. In contrast, when the shifting is closer, DANN can easily fit the model so it can perform well in both domains. It proves DANN is one of the good approaches to performing domain adaptation in small discrepancies.

关键词： computer science Adaptation models Neural networks Feature extraction Data models Data mining Information technology

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