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Hopping-Transport Mechanism for Reconfigurable Logic in Disordered Dopant Networks

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Physical Review Applied 2022年第6期17卷 064025-064025页

作者： Henri Tertilt Jesse Bakker Marlon Becker Bram de Wilde Indrek Klanberg Bernard J. Geurts Wilfred G. van der Wiel Andreas Heuer Peter A. Bobbert Institut für physikalische Chemie Westfälische Wilhelms-Universität Münster Münster Germany NanoElectronics Group University of Twente Enschede Netherlands Multiscale Modeling and Simulation Group Faculty of Electrical Engineering Mathematics and Computer Science MESA+ Institute for Nanotechnology and Center for Brain-Inspired Nano Systems (BRAINS) University of Twente Enschede Netherlands Center for Computational Energy Research (CCER) Eindhoven University of Technology Netherlands Fachbereich Physik Westfälische Wilhelms-Universität Münster Münster Germany Department of Applied Physics Eindhoven University of Technology Netherlands

We present an atomic-scale mechanism based on variable-range hopping of interacting charges enabling reconfigurable logic in dopant network processing units. Kinetic Monte Carlo simulations of the hopping process show temperature-dependent current-voltage characteristics and artificially evolved basic Boolean logic gates in very good agreement with experiment. The simulations provide unique insights into the local electrostatic potential and current flow in the dopant network, showing subtle changes induced by control voltages that set the conditions for the logic operation. These insights will be crucial in the systematic further development of this burgeoning technology for unconventional computing. The establishment of the principles underlying the logic functionality of these devices encourages the exploration and utilization of the same principles in other materials and device geometries.

关键词： Doping effects Hopping transport Neuromorphic computing Devices for digital logic, storage & processing Disordered systems Doped semiconductors Genetic algorithm Monte Carlo methods

CHANCES AND CHALLENGES OF CHATGPT AND SIMILAR MODELS FOR EDUCATION IN M&S

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TechRxiv

TechRxiv 2023年

作者： Scherer, William T. Tolk, Andreas Loper, Margaret L. Barry, Philip Rabadi, Ghaith Yilmaz, Levent The MITRE Corporation Modeling and Analysis Innovation Center 1001 Research Park Blvd #200 CharlottesvilleVA22911 United States Georgia Tech Research Institute Georgia Institute of Technology AtlantaGA30308 United States University of Virgina Department of Systems and Information Engineering CharlottesvilleVA22904 United States L3Harris Corporation Mission Analysis Group 2235 Monroe Street HerndonVA20171 United States University of Central Florida School of Modeling Simulation and Training 3100 Technology Pkwy OrlandoFL32826 United States Auburn University Samuel Ginn College of Engineering Computer Science and Software Engineering AuburnAL36849 United States

The position paper summarizes the inputs of a set of experts from academia and industry presenting their view on chances and challenges of using ChatGPT within the Modelling and simulation education. They also address the need to evaluate continuous education as well as education of faculty members to address scholastic challenges and opportunities while meeting the expectation of industry. © 2023, CC BY.

关键词： modeling languages

A Privacy-Preserving Access Control Protocol for Consumer Flying Vehicles in Smart City Applications

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SSRN

SSRN 2022年

作者： Mahmood, Khalid Saleem, Muhammad Asad Shamshad, Salman Ghaffar, Zahid Akram, Muhammad Wahid Conti, Mauro Das, Ashok Kumar National Yunlin University of Science and Technology Yunlin Taiwan Department of Computer Science COMSATS University Islamabad Sahiwal Campus Pakistan Department of Software Engineering The University of Lahore Lahore54590 Pakistan Department of Computer Science Barani Institute of Sciences Sahiwal57000 Pakistan Department of Mathematics University of Padua Padua35131 Italy Center for Security Theory and Algorithmic Research International Institute of Information Technology Hyderabad500032 India Virginia Modeling Analysis and Simulation Center Old Dominion University SuffolkVA23435 United States

The Internet of Drones (IoD) offers supervised admittance to drones in a targeted fly zone as the byproduct of the Internet of Things (IoT). The term drone is the trendy alias for Intelligent Flying Vehicle (IFV). The contemporary sensing, processing, and connectivity services enriches the use of drones in a plethora of civilian and military applications. In these applications, consumers can acquire the real-time information directly from flying drones in a smart city environment. No doubt, this feature empowers the consumers, but it is deemed critical as direct access privilege can cause serious security threats. To prevent such threats, we propose an anonymous for consumer flying vehicles in smart city application. The proposed protocol utilizes a physically unclonable function to sustain the physical security of the flying vehicles. We ratify the security fortitude and persistence of our protocol through inclusive security analysis. Whereas, we demonstrate the performance evaluation under diverse performance metrics which shows that overall our devised protocol incurs 11 . 5771 ms to complete the authentication cycle. The careful performance comparison attests to the precedence of our protocol over peer protocols. © 2022, The Authors. All rights reserved.

关键词： Internet of things

Mathematical modeling of 18F-Fluoromisonidazole (18F-FMISO) Radiopharmaceutical Transport in Vascularized Solid Tumors

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arXiv 2024年

作者： Abazari, Mohammad Amin Soltani, M. Eydi, Faezeh Rahmim, Arman Kashkooli, Farshad Moradi Department of Mechanical Engineering K. N. Toosi University of Technology Tehran Iran Department of Electrical and Computer Engineering Faculty of Engineering School of Optometry and Vision Science Faculty of Science University of Waterloo WaterlooN2L 3G Canada Department of Integrative Oncology BC Cancer Research Institute VancouverBCV5Z 1L3 Canada University of Waterloo WaterlooONN2L 3G Canada Cancer Biology Research Center Cancer Institute of Iran Tehran University of Medical Sciences Tehran Iran Departments of Radiology and Physics University of British Columbia VancouverBC Canada

18F-Fluoromisonidazole (18F-FMISO) is a highly promising positron emission tomography radiopharmaceutical for identifying hypoxic regions in solid tumors. This research employs spatiotemporal multi-scale mathematical modeling to explore how different levels of angiogenesis influence the transport of radiopharmaceuticals within tumors. In this study, two tumor geometries with heterogeneous and uniform distributions of capillary networks were employed to incorporate varying degrees of microvascular density. The synthetic image of the heterogeneous and vascularized tumor was generated by simulating the angiogenesis process. The proposed multi-scale spatiotemporal model accounts for intricate physiological and biochemical factors within the tumor microenvironment, such as the transvascular transport of the radiopharmaceutical agent, its movement into the interstitial space by diffusion and convection mechanisms, and ultimately its uptake by tumor cells. Results showed that both quantitative and semi-quantitative metrics of 18F-FMISO uptake differ spatially and temporally at different stages during tumor growth. The presence of a high microvascular density in uniformly vascularized tumor increases cellular uptake, as it allows for more efficient release and rapid distribution of radiopharmaceutical molecules. This results in enhanced uptake compared to the heterogeneous vascularized tumor. In both heterogeneous and uniform distribution of microvessels in tumors, the diffusion transport mechanism has a more pronounced than convection. The findings of this study shed light on the transport phenomena behind 18F-FMISO radiopharmaceutical distribution and its delivery in the tumor microenvironment, aiding oncologists in their routine decision-making processes. © 2024, CC BY.

关键词： Tumors

Investment Strategy of Offshore Wind Power Under Gradient Interactive Policy Mixes: A Real Options Approach

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SSRN

SSRN 2024年

作者： Yu, Xianyu Sang, Xiuzhi Chen, Yunfei Pedrycz, Witold Zhang, Tonglin Xu, Wenjing You, Luhan China College of Economics and Management Nanjing University of Aeronautics and Astronautics 29 Jiangjun Avenue Nanjing211106 China Department of Electrical and Computer Engineering University of Alberta EdmontonABT6G 2R3 Canada Systems Research Institute Polish Academy of Sciences Warsaw00-901 Poland Research Center of Performance and Productivity Analysis Istinye University Istanbul Turkey Research Centre for Soft Energy Science Nanjing University of Aeronautics and Astronautics 29 Jiangjun Avenue Nanjing211106 China

Offshore wind power (OWP) has become one of the most important renewable energy sources in the global energy transition. The interactive influence of different policies, i.e., Feed-in tariff (FIT), R&D subsidies, fiscal and tax support (FTS) and tradable green certificates (TGC), has become a key issue to decision makers (DMs) on OWP investment. In this paper, a four-layer investment decision-making framework based on real option (RO) and Least-squares Monte Carlo simulation (LS-MCS) is developed to analyze the influence of policy interaction mixes. And then, a case study of Xiangshan County is proposed to verify the effectiveness of the proposed decision-making framework and analyze the investment strategy of OWP project. The key findings of this study are as follows: (1) the considered OWP project at Xiangshan County is shown to be delayed by 4 years or more in all the considered gradient interactive policy mixes;(2) the improvement of technological innovation ability has the least effect on reducing project cost, while R&D subsidy has the best effect, but with the increase of R&D subsidy, its promoting effect gradually weakens;(3) although China's TGC market is still in its infancy, it has great development potential to improve the returns of OWP projects. © 2024, The Authors. All rights reserved.

关键词： Decision making

Valley-polarized Exitonic Mott Insulator in WS2/WSe2 Moiré Superlattice

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arXiv 2023年

作者： Lian, Zhen Meng, Yuze Ma, Lei Maity, Indrajit Yan, Li Wu, Qiran Huang, Xiong Chen, Dongxue Chen, Xiaotong Chen, Xinyue Blei, Mark Taniguchi, Takashi Watanabe, Kenji Tongay, Sefaattin Lischner, Johannes Cui, Yong-Tao Shi, Su-Fei Department of Chemical and Biological Engineering Rensselaer Polytechnic Institute TroyNY12180 United States Departments of Materials The Thomas Young Centre for Theory and Simulation of Materials Imperial College London United Kingdom Department of Physics and Astronomy University of California RiversideCA92521 United States Department of Materials Science and Engineering University of California RiversideCA92521 United States Materials Science and Engineering Program School for Engineering of Matter Transport and Energy Arizona State University TempeAZ85287 United States International Center for Materials Nanoarchitectonics National Institute for Materials Science 1-1 Namiki Tsukuba305-0044 Japan Research Center for Functional Materials National Institute for Materials Science 1-1 Namiki Tsukuba305-0044 Japan Department of Electrical Computer & Systems Engineering Rensselaer Polytechnic Institute TroyNY12180 United States

Strongly enhanced electron-electron interaction in semiconducting moiré superlattices formed by transition metal dichalcogenides (TMDCs) heterobilayers has led to a plethora of intriguing fermionic correlated states1–7. Meanwhile, interlayer excitons in a type-II aligned TMDC heterobilayer moiré superlattice, with electrons and holes separated in different layers8,9, inherit this enhanced interaction and strongly interact with each other, promising for realizing tunable correlated bosonic quasiparticles10,11 with valley degree of freedom. We employ photoluminescence spectroscopy to investigate the strong repulsion between interlayer excitons and correlated electrons in a WS2/WSe2 moiré superlattice and combine with theoretical calculations to reveal the spatial extent of interlayer excitons and the band hierarchy of correlated states. We further find that an excitonic Mott insulator state emerges when one interlayer exciton occupies one moiré cell, evidenced by emerging photoluminescence peaks under increased optical excitation power. Double occupancy of excitons in one unit cell requires overcoming the energy cost of exciton-exciton repulsion of about 30-40 meV, depending on the stacking configuration of the WS2/WSe2 heterobilayer. Further, the valley polarization of the excitonic Mott insulator state is enhanced by nearly one order of magnitude. Our study demonstrates the WS2/WSe2 moiré superlattice as a promising platform for engineering and exploring new correlated states of fermion, bosons, and a mixture of both12 © 2023, CC BY.

关键词： Excitons

Visuotactile Sensor Enabled Pneumatic Device Towards Compliant Oropharyngeal Swab Sampling

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arXiv 2023年

作者： Li, Shoujie He, Mingshan Ding, Wenbo Ye, Linqi Wang, Xueqian Tan, Junbo Yuan, Jinqiu Zhang, Xiao-Ping Tsinghua Shenzhen International Graduate School Shenzhen518055 China The Department of Mechanical Engineering Seoul National University Seoul Korea Republic of The Department of Intelligent Control Qianyuan Institute of Science Hangzhou310024 China Clinical Research Center The Seventh Affiliated Hospital Sun Yat-sen University Guangdong Shenzhen518107 China The Department of Electrical Computer and Biomedical Engineering Ryerson University TorontoONM5B 2K3 Canada

Manual oropharyngeal (OP) swab sampling is an intensive and risky task. In this article, a novel OP swab sampling device of low cost and high compliance is designed by combining the visuo-tactile sensor and the pneumatic actuator-based gripper. Here, a concave visuo-tactile sensor called CoTac is first proposed to address the problems of high cost and poor reliability of traditional multi-axis force sensors. Besides, by imitating the doctor’s fingers, a soft pneumatic actuator with a rigid skeleton structure is designed, which is demonstrated to be reliable and safe via finite element modeling and experiments. Furthermore, we propose a sampling method that adopts a compliant control algorithm based on the adaptive virtual force to enhance the safety and compliance of the swab sampling process. The effectiveness of the device has been verified through sampling experiments as well as in vivo tests, indicating great application potential. The cost of the device is around 30 US dollars and the total weight of the functional part is less than 0.1 kg, allowing the device to be rapidly deployed on various robotic arms. Videos, hardware, and source code are available at: https://***/view/swab-sampling/. Copyright © 2023, The Authors. All rights reserved.

关键词： Pneumatic actuators

Deep learning in biomedical optics

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arXiv 2021年

作者： Tian, Lei Hunt, Brady Lediju Bell, Muyinatu A. Yi, Ji Smith, Jason T. Ochoa, Marien Intes, Xavier Durr, Nicholas J. Department of Electrical and Computer Engineering Boston University BostonMA United States Thayer School of Engineering Dartmouth College HanoverNH United States Department of Electrical and Computer Engineering Johns Hopkins University BaltimoreMD United States Department of Biomedical Engineering Johns Hopkins University BaltimoreMD United States Department of Computer Science Johns Hopkins University BaltimoreMD United States Department of Ophthalmology Johns Hopkins University BaltimoreMD United States Center for Modeling Simulation and Imaging in Medicine Rensselaer Polytechnic Institute

This article reviews deep learning applications in biomedical optics with a particular emphasis on image formation. The review is organized by imaging domains within biomedical optics and includes microscopy, fluorescence lifetime imaging, in vivo microscopy, widefield endoscopy, optical coherence tomography, photoacoustic imaging, diffuse tomography, and functional optical brain imaging. For each of these domains, we summarize how deep learning has been applied and highlight methods by which deep learning can enable new capabilities for optics in medicine. Challenges and opportunities to improve translation and adoption of deep learning in biomedical optics are also summarized. Copyright © 2021, The Authors. All rights reserved.

关键词： Optical tomography

Vibration Energy Harvester with Double Frequency-Up Conversion Mechanism for Self-Powered Sensing System in Smart City

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SSRN

SSRN 2022年

作者： Wang, Fei Luo, Anxin Xu, Weihan Sun, Jiangyong Xi, Kunling Tang, Siyao Guo, Xinge Lee, Chengkuo School of Microelectronics Southern University of Science and Technology Shenzhen518055 China Engineering Research Center of Integrated Circuits for Next-Generation Communications Ministry of Education Southern University of Science and Technology Shenzhen518055 China School of Art Kingston University London LondonKT1 2QJ United Kingdom Department of Electrical & Computer Engineering National University of Singapore Singapore117576 Singapore

This paper has proposed a vibration energy harvester (VEH) with double frequency-up conversion (FUC) mechanism which can be applied to harvest energy from vibrations at ultra-low frequency. The device can initially up-convert the external vibrations with sub-Hertz into tens of Hertz, and further convert to hundreds of Hertz by the second FUC mechanism, which gives a high conversion ratio of 4200. A comprehensive dynamic model has been proposed and verified both from the COMSOL simulation and theoretical analysis to analyze the frequency conversion process and output voltage. When excited by a frequency of 0.2Hz, an average output power of 75μW could be obtained with a compact size. Benefiting from the non-contact design, the device could be applied in some sealed scenarios for smart city construction. Herein, a wireless humid-temperature sensor node in the pipeline was successfully powered by harvesting energy from humans walking with the proposed VEH, showing promising application prospects. © 2022, The Authors. All rights reserved.

关键词： Energy harvesting