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Computing Motion with 3D Memristive Grid [article]

Chuan Kai Kenneth. Lim, T. Prodromakis
2013 arXiv   pre-print
In addition, a double-layered 3-D memristive network is employed for modeling the motion computations that take place in both the Outer Plexiform Layer (OPL) and Inner Plexiform Layer (IPL) that enables  ...  Computing the relative motion of objects is an important navigation task that we routinely perform by relying on inherently unreliable biological cells in the retina.  ...  In this section, we present a 3D memristive grid that facillitates the computation of the temporal derivative. A.  ... 
arXiv:1303.3067v1 fatcat:4pnjuz4mu5gnfcrcjwsjseenae

Simulating Memristive Networks in SystemC-AMS [chapter]

Dietmar Fey, Lukas Riedersberger, Marc Reichenbach
2018 Memristor and Memristive Neural Networks  
This chapter presents a solution for the simulation of large memristive networks with SystemC-AMS.  ...  We show for the example of a two-layer memristive network emulating an optical flow algorithm by the detection of moving edges that large memristive networks can be simulated with a free available SystemC-AMS  ...  We compare the achieved results with an implementation on a GPU to evaluate possibilities and limits of the compute capability of memristive circuits. The chapter is organized as follows.  ... 
doi:10.5772/intechopen.69662 fatcat:qxej3jlw4rbsvpkibeqxqknofu

Stochastic behaviour of an interface-based memristive device [article]

Sahitya Yarragolla, Torben Hemke, Jan Trieschmann, Finn Zahari, Hermann Kohlstedt, Thomas Mussenbrock
2021 arXiv   pre-print
The calculated current-voltage characteristics obtained using the proposed model show excellent agreement with the experimental findings.  ...  A large number of simulation models have been proposed over the years to mimic the electrical behaviour of memristive devices.  ...  The computational domain consists of a solid-state electrolyte (l SE ) modelled on a 1D Eulerian grid.  ... 
arXiv:2111.00591v1 fatcat:rdcoecblujfnlmo66lxm5xb2pe

Resistive Switching in Memristive Electrochemical Metallization Devices [article]

Sven Dirkmann, Thomas Mussenbrock
2017 arXiv   pre-print
We report on resistive switching of memristive electrochemical metallization devices using 3D kinetic Monte Carlo simulations describing the transport of ions through a solid state electrolyte of an Ag  ...  The ion transport model is consistently coupled with solvers for the electric field and thermal diffusion.  ...  It is shown, that the calculated IVcharacteristic of the device is in good agreement with experimental findings. Ultimately, the switching kinetics of memristive ECM-cells is discussed.  ... 
arXiv:1703.02946v2 fatcat:fprijmsmzvfobdsykxdoyqow6i

Advances in Memristor-Based Neural Networks

Weilin Xu, Jingjuan Wang, Xiaobing Yan
2021 Frontiers in Nanotechnology  
massive data calculation with low power consumption and small chip area.  ...  The rapid development of artificial intelligence (AI), big data analytics, cloud computing, and Internet of Things applications expect the emerging memristor devices and their hardware systems to solve  ...  Researchers have demonstrated an over 70% of accuracy in human behavior video recognition with a memristor-based 3D CNN .  ... 
doi:10.3389/fnano.2021.645995 fatcat:vosg25pqbvfa3icp74xin33rh4

Metastable oxygen vacancy ordering state and improved memristive behavior in TiO2 crystals

Tianyu Li, Fang Hong, Ke Yang, Binbin Yue, Nobumichi Tamura, Hua Wu, Zhenxiang Cheng, Chunchang Wang
2020 Science Bulletin  
This metastable ordering state leads to a first-order phase transition accompanied by significant enhancement of dielectric permittivity and a memristive effect featuring a low driving electric field.  ...  The Coulomb and exchange parameters were U = 3 eV and J = 0.9 eV for the Ti 3d electrons.  ...  Thus, relaxation 1 was reasonably ascribed as a polarontype relaxation and relaxation 2 was a dipolar-type relaxation associated with the oxygen vacancy hopping motion.  ... 
doi:10.1016/j.scib.2020.02.013 fatcat:egnrmn4ifnawzfisqogkkbqt5q

Electrical control of memristance and magnetoresistance in oxide magnetic tunnel junctions

Kun Zhang, Yan-ling Cao, Yue-wen Fang, Qiang Li, Jie Zhang, Chun-gang Duan, Shi-shen Yan, Yu-feng Tian, Rong Huang, Rong-kun Zheng, Shi-shou Kang, Yan-xue Chen (+2 others)
2015 Nanoscale  
We applied GGA plus Hubbard U 30 approach to take into account the on-site repulsion of localized Co-3d orbitals, employing the Dudarev 21 method with an effective value of Ueff = 6.1 eV for cobalt atoms  ...  the purpose of avoiding long-range dipole interactions between periodic 45 images and reducing computing time technically.  ... 
doi:10.1039/c5nr00522a pmid:25785667 fatcat:limoltwqlfhvrmhz7rsifr4xmq

Neuropunk Revolution. Hacking Cognitive Systems towards Cyborgs 3.0 [article]

Max Talanov, Jordi Vallverdu, Andrew Adamatzky, Alexander Toschev, Alina Suleimanova, Alexey Leukhin, Ann Posdeeva, Yulia Mikhailova, Alice Rodionova, Alexey Mikhaylov, Alexander Serb, Sergey Shchanikov (+9 others)
2022 arXiv   pre-print
and computing in general.  ...  We see bio-plausible simulations implemented by digital computers or spiking networks memristive hardware as promising bridge or middleware between digital and (neuro)biological domains.  ...  Instead, the use of specially synthetized block-copolymers resulted in the realization of 3D systems with the level of memristive devices integration was about 1011 cm 3 .  ... 
arXiv:2205.06538v1 fatcat:vegmu5373zblbbxorson5ggesy

Hardware Implementation of Deep Network Accelerators Towards Healthcare and Biomedical Applications [article]

Mostafa Rahimi Azghadi, Corey Lammie, Jason K. Eshraghian, Melika Payvand, Elisa Donati, Bernabe Linares-Barranco, Giacomo Indiveri
2020 arXiv   pre-print
With the advent of dedicated Deep Learning (DL) accelerators and neuromorphic processors, new opportunities are emerging for applying deep and Spiking Neural Network (SNN) algorithms to healthcare and  ...  In this paper, we provide a tutorial describing how various technologies ranging from emerging memristive devices, to established Field Programmable Gate Arrays (FPGAs), and mature Complementary Metal  ...  Tensor cores target mixed-precision computing, with their NVIDIA Tesla V100 GPU combining 672 tensor cores on a single unit.  ... 
arXiv:2007.05657v1 fatcat:amqutl3suvgq5nygna4ef36usy

Neuromorphic Motion Detection and Orientation Selectivity by Volatile Resistive Switching Memories

Wei Wang, Erika Covi, Alessandro Milozzi, Matteo Farronato, Saverio Ricci, Caterina Sbandati, Giacomo Pedretti, Daniele Ielmini
2020 Advanced Intelligent Systems  
To facilitate the practical hardware implementation, we arranged the volatile RRAM devices in a grid array.  ...  Based on these results, an artificial retina concept with real-time motion and direction selectivity is finally demonstrated.  ... 
doi:10.1002/aisy.202000224 fatcat:uiicgkek7ng7bcx52m5mdv26hu

Technology Time Machine 2012 - Paving the path for the future technology developments [includes 9 white papers]

Wolfgang Lehner, Gerhard Fettweis
2012 2012 IEEE Technology Time Machine Symposium (TTM)  
Topics covered the future of Wireless Technology, Smart Grid, The Internet Of Things, Cloud Computing, Silicon, and non-Silicon technology, Biotechnology, and life Sciences.  ...  With skill, one can produce good audio and video on mobiles. This has led to fast, viral, sharing of content.  ...  Combined with the commercialization of 3D printing, we will also see a countertrendconcretization of the virtual in as diverse domains as production of cars and buildings to the Smart Grid.  ... 
doi:10.1109/ttm.2012.6509029 fatcat:24keba333benxbd7ffb5qzarum

Solid-state electrochemistry on the nanometer and atomic scales: the scanning probe microscopy approach

Evgheni Strelcov, Sang Mo Yang, Stephen Jesse, Nina Balke, Rama K. Vasudevan, Sergei V. Kalinin
2016 Nanoscale  
Human civilization entered it with the sail and humanand animal-powered technologies, and left it with the steam-run trains, factories, and battleships.  ...  The second is represented by the modern energy cycles based on hydroelectric, wind, fossil fuel, and nuclear based energy sources that induce mechanical motion further converted to electricity.  ...  Hence is the need for detecting the surface ionic motion and electrochemical reactions separately from the electronic transport, and with high spatial resolution.  ... 
doi:10.1039/c6nr01524g pmid:27146961 pmcid:PMC5125544 fatcat:kjusgluz6zf7hl6jilhohtxndm

An ACO-Based Tool-Path Optimizer for 3-D Printing Applications

Kai-Yin Fok, Chi-Tsun Cheng, Nuwan Ganganath, Herbert Ho-Ching Iu, Chi K. Tse
2019 IEEE Transactions on Industrial Informatics  
Fabrication of 3D models with complex structures is now feasible with 3D printing technologies.  ...  Experiment results verify that the proposed optimizer can deliver significant improvements in computational time, print time, and visual quality of printed objects over optimizers based on conventional  ...  INTRODUCTION I N a typical fused deposition modelling (FDM) based 3D printing process, a computer-aided design (CAD) file of a 3D model is fed into a slicer software for breaking it down into numerous  ... 
doi:10.1109/tii.2018.2889740 fatcat:g2fj7yk5undmjg4yjfwqbzjeee

Phase stability of TiO2polymorphs from diffusion Quantum Monte Carlo

Ye Luo, Anouar Benali, Luke Shulenburger, Jaron T Krogel, Olle Heinonen, Paul R C Kent
2016 New Journal of Physics  
Titanium dioxide, TiO_2, has multiple applications in catalysis, energy conversion and memristive devices because of its electronic structure.  ...  Our QMC calculations find that anatase is the most stable phase at zero temperature, consistent with many previous mean-field calculations.  ...  Acknowledgments An award of computer time was provided by the Innovative and Novel Computational Impact on Theory and  ... 
doi:10.1088/1367-2630/18/11/113049 fatcat:7hlacwpk4fbx5mld64mauxsmze

Bounded Orbits and Multiple Scroll Coexisting Attractors in a Dual System of Chua System

Yue Liu, Herbert Ho-Ching Iu, Hui Li, Xuefeng Zhang
2020 IEEE Access  
In this paper, a method for generating M ×N ×L grid multiple scroll attractors is presented for this system.  ...  INDEX TERMS Grid multiple scroll attractors, homoclinic and heteroclinic orbits, Shilnikov bifurcation, coexisting attractors.  ...  FIGURE 6 . 6 Three kinds of motion states: (a) Stable state in 3D, b = −0.1; (b) Stable state in x(t), b = −0.1;(c) Critical state in 3D, b = 0;(d) Critical state in x(t), b = 0; (e) Bifurcation in 3D,  ... 
doi:10.1109/access.2020.3015865 fatcat:hzskfnfd5vffrcammt2exlsxcq
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