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Ionic liquid multistate resistive switching characteristics in two terminal soft and flexible discrete channels for neuromorphic computing

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Microsystems & Nanoengineering 2022年第3期8卷 153-161页

作者： Muhammad Umair Khan Jungmin Kim Mahesh Y.Chougale Chaudhry Muhammad Furqan Qazi Muhammad Saqib Rayyan Ali Shaukat Nobuhiko P.Kobayashi Baker Mohammad Jinho Bae Hoi-Sing Kwok Department of Ocean System Engineering Jeju National University102 JejudaehakroJeju 63243Republic of Korea Department of Electrical Engineering and Computer Science Khalifa UniversityAbu Dhabi 127788UAE System on Chip Center Khalifa UniversityAbu Dhabi 127788UAE Department of Electronics and Computer Engineering The Hong Kong University of Science and TechnologyClear Water BayKowloonHong KongChina State Key Laboratory on Advanced Displays and Optoelectronics Technologies The Hong Kong University of Science and TechnologyClear Water BayKowloonHong KongChina Baskin School of Engineering Univerity of California Santa Cruz1156 High StreetSanta CruzCA 95064USA

By exploiting ion transport phenomena in a soft and flexible discrete channel,liquid material conductance can be controlled by using an electrical input signal,which results in analog neuromorphic *** paper proposes an ionic liquid(IL)multistate resistive switching device capable of mimicking synapse analog behavior by using IL BMIM FeCL_(4) and H_(2)O into the two ends of a discrete polydimethylsiloxane(PDMs)*** spike rate-dependent plasticity(SRDP)and spike-timing-dependent plasticity(STDP)behavior are highly stable by modulating the input ***,the discrete channel device presents highly durable performance under mechanical bending and *** the obtained parameters from the proposed ionic liquid-based synaptic device,convolutional neural network simulation runs to an image recognition task,reaching an accuracy of 84%.The bending test of a device opens a new gateway for the future of soft and flexible brain-inspired neuromorphic computing systems for various shaped artificial intelligence applications.

关键词： computing gateway state

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Algorithmic Techniques for Necessary and Possible Winners

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ACM/IMS Transactions on Data Science 2021年第3期2卷 1–23页

作者： Chakraborty, Vishal Delemazure, Theo Kimelfeld, Benny Kolaitis, Phokion G. Relia, Kunal Stoyanovich, Julia Computer Science and Engineering Department Jack Baskin School of Engineering University of California Santa Cruz Santa CruzCA95064 United States Ecole Normale Superieure 45 Rue d'Ulm Paris75005 France Henry and Marilyn Taub Faculty of Computer Science Technion Haifa3200003 Israel Computer Science and Engineering Department Jack Baskin School of Engineering University of California Santa Cruz Santa CruzCA95064 United States Computer Science and Engineering Department Tandon School of Engineering New York University 370 Jay Street BrooklynNY11201 United States Center for Data Science New York University 60 5th Avenue New YorkNY10011 United States

We investigate the practical aspects of computing the necessary and possible winners in elections over incomplete voter preferences. In the case of the necessary winners, we show how to implement and accelerate the polynomial-time algorithm of Xia and Conitzer. In the case of the possible winners, where the problem is NP-hard, we give a natural reduction to Integer Linear Programming (ILP) for all positional scoring rules and implement it in a leading commercial optimization solver. Further, we devise optimization techniques to minimize the number of ILP executions and, oftentimes, avoid them altogether. We conduct a thorough experimental study that includes the construction of a rich benchmark of election data based on real and synthetic data. Our findings suggest that, the worst-case intractability of the possible winners notwithstanding, the algorithmic techniques presented here scale well and can be used to compute the possible winners in realistic scenarios. © 2021 Association for Computing Machinery.

关键词： Integer programming

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Reflections and Visions: Insights From IEEE CASS Past Presidents [Special Section on the 75th Anniversary of the IEEE Circuits and Systems Society]

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IEEE Circuits and Systems Magazine 2024年第4期24卷 22-24页

作者： Yongfu Li Yoko Uwate Amara Amara Maciej Ogorzalek Ljiljana Trajkovic Franco Maloberti Sung-Mo Kang Department of Micro-Nano Electronics Shangha Jiao Tong University Shanghai China Department of Electrical and Electronic Engineering Tokushima University Tokushima Japan National Key Laboratory of Spintronics/Yuhang Nano Center Hangzhou International Innovation Institute Beihang University Beijing China Department of Information Technologies Jagiellonian University Kraków Poland School of Engineering Science Simon Fraser University Burnaby BC Canada Department of Electrical Computer and Biomedical Engineering University of Pavia Pavia Italy Jack Baskin School of Engineering University of California at Santa Cruz Santa Cruz CA USA

The IEEE Circuits and Systems Society (CASS) celebrated its 75th anniversary at the IEEE International Symposium on Circuits and Systems (ISCAS). A significant event was the “Past President Sharing Panel,” featuring insights from IEEE CASS Past Presidents Sung-Mo (Steve) Kang, Ljiljana Trajkovic, Maciej Ogorzalek, Franco Maloberti, and Amara Amara. Their presentations and panel discussions provided a comprehensive overview of the Society’s history and future direction, emphasizing diversity, innovation, and global collaboration to shape the future of circuits and systems.

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Near-field microwave microscopy of nanostructured materials: Modeling and experiment

Near-field microwave microscopy of nanostructured materials:...

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Low-Dimensional Materials and Devices 2021

作者： Lopez, Diego C. Ohlberg, Douglas A. A. Giraldo, Brian Ramirez, Jhonattan C. Kobayashi, Nobuhiko P. Do Rego, Cássio G. Medeiros-Ribeiro, Gilberto Electrical Engineering Graduate Program Universidade Federal de Minas Gerais Belo HorizonteMG 31270-901 Brazil Microscopy Center Universidade Federal de Minas Gerais Belo HorizonteMG 31270-901 Brazil Department of Electrical and Computer Engineering Baskin School of Engineering University of California Santa Cruz Santa CruzCA95064 United States Computer Science Department Universidade Federal de Minas Gerais Belo HorizonteMG 31270-901 Brazil

ISBN: (数字)9781510644397

ISBN: (纸本)9781510644380

Synthesis of novel material often times requires novel analysis and characterization techniques. The possibility of combining sputtering (SPU) and Atomic Layer Deposition (ALD) in the same chamber, Sputtering Atomic Layer Augmented Deposition (SALAD), has produced interesting meta-dielectric nanocomposite systems that have unique optical and electronic properties, which may find novel applications [1]. Scanning Microwave Impedance Microscopy (sMIM) is a relatively novel characterization tool which permits assessment of local impedance. More recently, the utilization of microwaves in the near field regime has been an exciting topic in the field of high-resolution microscopy. We were able to demonstrate 1 nm resolution using scanning Microwave Impedance Microscopy (sMIM) where a spontaneously forming water meniscus concentrated the microwave fields in small regions [2]. Here we analyzed numerically sMIM with Finite Element Method (FEM) to investigate complex metal-dielectric structures created in a SALAD system. sMIM measurements provide information on both real and imaginary parts of the reflected microwave signal, which can be associated with the local conductivity and permittivity. Yet, these quantities can be influenced by the local topography, so extraction of the electronic contribution is a challenge. In this work, we perform tip-surface distance scans in order to gain a better understanding of the substrate response and compare with the FEM results. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Finite element method

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Visualization and manipulation of bilayer graphene quantum dots with broken rotational symmetry and nontrivial topology

arXiv

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arXiv 2020年

作者： Ge, Zhehao Joucken, Fredric Quezada, Eberth A. da Costa, Diego R. Davenport, John L. Giraldo, Brian Taniguchi, Takashi Watanabe, Kenji Kobayashi, Nobuhiko P. Low, Tony Velasco, Jairo Department of Physics University of California Santa CruzCA95064 United States Departamento de Física Universidade Federal do Ceará Campus do Pici Caixa Postal 6030 FortalezaCeará60455-900 Brazil Jack Baskin School of Engineering University of California Santa CruzCA95064 United States International Center for Materials Nanoarchitectronics 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 and Computer Engineering University of Minnesota MinneapolisMN55455 United States

Electrostatically defined quantum dots (QDs) in Bernal stacked bilayer graphene (BLG) are a promising quantum information platform because of their long spin decoherence times, high sample quality, and tunability. Importantly, the shape of QD states determine the electron energy spectrum, the interactions between electrons, and the coupling of electrons to their environment, all of which are relevant for quantum information processing. Despite its importance, the shape of BLG QD states remains experimentally unexamined. Here we report direct visualization of BLG QD states by using a scanning tunneling microscope. Strikingly, we find these states exhibit a robust broken rotational symmetry. By using a numerical tight-binding model, we determine that the observed broken rotational symmetry can be attributed to low energy anisotropic bands. We then compare confined holes and electrons and demonstrate the influence of BLG’s nontrivial band topology. Our study distinguishes BLG QDs from prior QD platforms with trivial band topology. Copyright © 2020, The Authors. All rights reserved.

关键词： Semiconductor quantum dots

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A mixed integer linear programming approach for computing the optimal chance-constrained push back time windows 16

A mixed integer linear programming approach for computing th...

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16th AIAA Aviation Technology, Integration, and Operations Conference, 2016

作者： Coupe, William J. Milutinović, Dejan Malik, Waqar Jung, Yoon Computer Engineering Department Jack Baskin School of Engineering University of California Santa CruzCA95064 United States University of California NASA Ames Research Center Moffett FieldCA94035 United States University Affliated Research Center MS 210-8 Moffett FieldCA94035 United States NASA Ames Research Center MS 210-6 Moffett FieldCA94035 United States

ISBN: (数字)9781624104404

ISBN: (纸本)9781624104404

Due to the stochastic uncertainties in ramp area aircraft trajectories, the optimization of push back time windows has to account for randomness associated with the trajectories. This paper formulates a mixed integer linear program for computing the optimal chance-constrained aircraft push back time windows. The solutions are chance-constrained because they allow for a non-zero but bounded probability of conflicts among the sampled aircraft trajectories. Solutions of the mixed integer linear program are shown to be significantly impacted by the presence of even a few rare conflict points within an otherwise empty domain. By allowing for some conflict points inside the time windows, the solutions become much more attractive. The runtime of the mixed integer linear program is shown to be most influenced by a parameter within the objective function, the distribution of conflict points, and the number of conflict points that are allowed inside the time window. In order to reduce the runtime we introduce various cutting methods applied to the mixed integer linear program domain. Overall, the analysis shows that the cutting methods reduce both the runtime and standard deviation of the runtime for the mixed integer linear program. © 2016 American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.

关键词： Trajectories

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A mixed integer linear program for real-time computing the optimal push back time windows 16

A mixed integer linear program for real-time computing the o...

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16th AIAA Aviation Technology, Integration, and Operations Conference, 2016

作者： Coupe, William J. Milutinović, Dejan Malik, Waqar Jung, Yoon Jack Baskin School of Engineering University of California Computer Engineering Department Santa CruzCA95064 United States University of California NASA Ames Research Center Moffett FieldCA94035 United States University Affliated Research Center MS 210-8 Moffett FieldCA94035 United States NASA Ames Research Center MS 210-6 Moffett FieldCA94035 United States

ISBN: (数字)9781624104404

ISBN: (纸本)9781624104404

This paper proposes a tool to aid ramp area controllers to meet the scheduled target movement area times by computing the push back time windows for each departing aircraft that ensure conflict free trajectories. The push back window is defined by the range between the earliest feasible push back time and latest feasible push back time. In this work we propose a new mixed integer linear program approach that uses a significantly smaller number of constraints compared to our previous approach. Using fewer constraints, the problem can be solved in less computation time and the mixed integer linear program can be incorporated in real-time decision making. We show that the formulation can be applied to schedules of multiple aircraft without modification. Solutions are provided and the objective function is analyzed to reveal the dependence of the computation time and the quality of solution to a parameter within the objective function. © 2016 American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.

关键词： Integer programming

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A data driven approach for characterization of ramp area push back and ramp-taxi processes 16

A data driven approach for characterization of ramp area pus...

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16th AIAA Aviation Technology, Integration, and Operations Conference, 2016

作者： Coupe, William J. Milutinović, Dejan Malik, Waqar Jung, Yoon Jack Baskin School of Engineering University of California Santa CruzCA95064 United States University of California Santa Cruz NASA Ames Research Center Moffett FieldCA94035 United States NASA Ames Research Center Moffett FieldCA94035 United States Computer Engineering Department UC Santa Cruz United States University Affiliated Research Center MS 210-8 Moffett FieldCA94035 United States NASA Ames Research Center MS 210-6 Moffett FieldCA94035 United States

ISBN: (数字)9781624104404

ISBN: (纸本)9781624104404

The purpose of this research is to better understand and characterize the time duration distributions between the push back, stop and taxi events within the ramp area transit time. The ramp area transit time is the time between push back and arrival at the taxiway spot. Specifically, the goodness-of-_t of log-normal and gamma distributions are assessed to different processes within ramp area transit time data that was collected at the Charlotte Douglas airport over a three day period. In this paper, we also assess the goodness-of-_t of two-dimensional parametric distributions to sampled two-dimensional ramp area conflict distribution data. Better understanding of both the distributions related to the different processes within the ramp area transit time and the conflict distributions are critical to the execution of safe and efficient ramp area operations. © 2016, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.

关键词： Taxicabs

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Mapping the Human Body at Cellular Resolution -- The NIH Common Fund Human BioMolecular Atlas Program

arXiv

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arXiv 2019年

作者： Snyder, Michael P. Lin, Shin Posgai, Amanda Atkinson, Mark Regev, Aviv Rood, Jennifer Rozenblatt-Rosen, Orit Gaffney, Leslie Hupalowska, Anna Satija, Rahul Gehlenborg, Nils Shendure, Jay Laskin, Julia Harbury, Pehr Nystrom, Nicholas A. Bar-Joseph, Ziv Zhang, Kun Börner, Katy Lin, Yiing Conroy, Richard Procaccini, Dena Roy, Ananda L. Pillai, Ajay Brown, Marishka Galis, Zorina S. Cai, Long Shendure, Jay Trapnell, Cole Lin, Shin Jackson, Dana Snyder, Michael P. Nolan, Garry Greenleaf, William James Lin, Yiing Plevritis, Sylvia Ahadi, Sara Lee, Hayan Nevins, Stephanie Esplin, Ed Horning, Aaron Bahmani, Amir Zhang, Kun Sun, Xin Jain, Sanjay Hagood, James Kharchenko, Peter Atkinson, Mark Bodenmiller, Bernd Brusko, Todd Clare-Salzler, Michael Nick, Harry Otto, Kevin Posgai, Amanda Wasserfall, Clive Maffioletti, Sergio Caprioli, Richard M. Spraggins, Jeffrey M. Gutierrez, Danielle Patterson, Nathan Heath Neumann, Elizabeth K. Harris, Raymond deCaestecker, Mark de Plas, Raf Van Lau, Ken Cai, Long Yuan, Guo-Cheng Zhu, Qian Dries, Ruben Yin, Peng Saka, Sinem K. Kishi, Jocelyn Y. Wang, Yu Goldaracena, Isabel Laskin, Julia Ye, DongHye Burnum-Johnson, Kristin E. Piehowski, Paul D. Ansong, Charles Zhu, Ying Harbury, Pehr Desai, Tushar Mulye, Jay Chou, Peter Nagendran, Monica Bar-Joseph, Ziv Teichmann, Sarah A. Paten, Benedict Murphy, Robert F. Ma, Jian Kiselev, Vladimir Yu Kingsford, Carl Ricarte, Allyson Ruffalo, Matthew Gehlenborg, Nils Kharchenko, Peter Vella, Margaret McCallum, Chuck Börner, Katy Cross, Leonard E. Friedman, Samuel H. Heiland, Randy Herr, Bruce Macklin, Paul Quardokus, Ellen M. Record, Lisel Sluka, James P. Weber, Griffin M. Nystrom, Nicholas A. Silverstein, Jonathan C. Blood, Philip D. Ropelewski, Alexander J. Shirey, William E. Mabee, Paula Lenhardt, W. Christopher Robasky, Kimberly Michailidis, Stavros Satija, Rahul Marioni, John Regev, Aviv Butler, Andrew Stuart, Tim Fisher, Eyal Ghazanfar, Shila Rood, Jennifer Gaffney, Leslie Ersalan, Gokcen Biancalani, Tommaso Conroy, Richard Procaccini, Dena Roy, Anan School of Medicine Stanford University 300 Pasteur Drive United States Department of Genetics Stanford School of Medicine StanfordCA94305 United States Department of Medicine University of Washington SeattleWA98195 United States Department of Pathology University of Florida Diabetes Institute GainesvilleFL32610 United States Klarman Cell Observatory Broad Institute of MIT and Harvard CambridgeMA02142 United States Howard Hughes Medical Institute Koch Institute of Integrative Cancer Research Department of Biology Massachusetts Institute of Technology CambridgeMA02140 United States New York Genome Center New York CityNY10013 United States New York University New YorkNY10012 United States Department of Biomedical Informatics Harvard Medical School BostonMA02115 United States Department of Genome Sciences University of Washington SeattleWA98105 United States Department of Chemistry Purdue University West LafayetteIN47907 United States Department of Biochemistry Stanford University School of Medicine StanfordCA94305 United States Pittsburgh Supercomputing Center Carnegie Mellon University PittsburghPA15213 United States Department of Computational Biology School of Computer Science Carnegie Mellon University PittsburghPA15213 United States Department of Bioengineering University of California San Diego La JollaCA92093 United States Department of Intelligent Systems Engineering School of Informatics Computing and Engineering Indiana University BloomingtonIN47408 United States Department of Surgery Washington University School of Medicine St LouisMO63110 United States Division of Program Coordination Planning and Strategic Initiatives National Institutes of Health BethesdaMD20892 United States National Human Genome Research Institute National Institutes of Health BethesdaMD20892 United States National Heart Lung and Blood Institute National Institutes of Health BethesdaMD20892 United States Caltech-UW TMC Departmen

Transformative technologies are enabling the construction of three dimensional (3D) maps of tissues with unprecedented spatial and molecular resolution. Over the next seven years, the NIH Common Fund Human Biomolecular Atlas Program (HuBMAP) intends to develop a widely accessible framework for comprehensively mapping the human body at single-cell resolution by supporting technology development, data acquisition, and detailed spatial mapping. HuBMAP will integrate its efforts with other funding agencies, programs, consortia, and the biomedical research community at large towards the shared vision of a comprehensive, accessible 3D molecular and cellular atlas of the human body, in health and various disease settings. Copyright © 2019, The Authors. All rights reserved.

关键词： Mapping

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TEM and EELS study on TaOx-based nanoscale resistive switching devices

TEM and EELS study on TaOx-based nanoscale resistive switchi...

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2015 MRS Spring Meeting on Fabrication and Properties of Oxide Thin Films, Nanostructures and Interfaces for Advanced Applications

作者： Norris, Kate J. Yang, J. Joshua Kobayashi, Nobuhiko P. Baskin School of Engineering University of California Santa Cruz Santa CruzCA95064 United States Advanced Studies Laboratories Univ. of California Santa Cruz-NASA Ames Research Center Moffett FieldCA94035 United States Electrical and Computer Engineering University of Massachusetts AmherstMA01003 United States

ISBN: (纸本)9781510872325

Resistive switching, a reversible change in electrical resistance of a dielectric layer through the application of a voltage bias, has propelled a field of research to form improved nonvolatile memory device. Tantalum oxide has been investigated as the dielectric component of resistive switching devices as a leading candidate for a few years. Presented here is a structural and chemical investigation of TaOx devices with 55nm in diameter in the virgin, forming on, and switched off (reset) states for comparison using cross sectional TEM techniques including HRTEM, and EELS to gain further understanding of this material system. The nanodevices imaged in this study were switched below 100μA. Unique features found in this study are in agreement with previous hypotheses made by various researchers based on X-ray fluorescence microscopy of micron-scale devices, indicating a variation in oxygen concentration around the switching area. © 2015 Materials Research Society.

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