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Scalable nanocomposite parylene-based memristors:Multifilamentary resistive switching and neuromorphic applications

Nano Research 2023年第2期16卷 3207-3214页

作者： Anna N.Matsukatova Artem Yu.Vdovichenko timofey d.patsaev Pavel A.Forsh Pavel K.Kashkarov Vyacheslav A.demin Andrey V.Emelyanov National Research Centre“Kurchatov Institute” Moscow 123182Russia Physics department Lomonosov Moscow State UniversityMoscow 119991Russia Moscow Institute of Physics and Technology DolgoprudnyjMoscow oblast 141701Russia Enikolopov Institute of Synthetic Polymeric Materials Russian Academy of SciencesMoscow 117993Russia Physics department Saint Petersburg State UniversitySt.Petersburg 199034Russia

Memristors are promising candidates for synapse emulation in brain-inspired neuromorphic computing *** main obstacle to their usage in such systems is high variability of memristive characteristics and its severe negative effect on the neural network *** paper addresses the issue from two points of view on the example of the parylene-based memristors:(i)the methods of the memristor internal stochasticity decrease and(ii)the methods of the memristive neural network architecture *** introduction of an optimal Ag nanoparticle concentration(3 vol.%–6 vol.%)to the memristive structure leads to a statistically significant decrease in the switching voltage variation and endurance ***,it is shown that post-fabrication annealing improves memristive characteristics,e.g.,resistive switching window increases by an order of magnitude and exceeds 106,the switching voltage variation decreases by a factor of 2(down to 7%for the set and 17%for the reset voltage),and thermostability is *** transmission electron microscopy and impedance spectroscopy analysis allowed establishing a multifilamentary resistive switching mechanism for nanocomposite parylene-based *** simulation of the formal neural network based on these memristors demonstrates high classification accuracy with low variation for an important biomedical task,heart disease prediction,after careful feature selection and network architecture *** prospects of the controlled incorporation of the nanocomposite parylene-based memristors in neural networks are brightened by their scaling possibility in crossbar geometry.

关键词： memristor resistive switching neuromorphic computing parylene nanocomposite

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Analysis and development of An Unmanned Tandem Road Roller

Analysis and Development of An Unmanned Tandem Road Roller

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作者： Blokh timofey 西安理工大学

学位级别：硕士

An unmanned road roller has become an attractive solution for reducing operator labor and improve compaction *** is why,today,many scientific institutions are dedicated to the development of unmanned construction *** of the most perspective machines is the road *** compaction quality is mainly monitored by the detection instruments in the operator's cab and other indicators that transmit information from the installed sensors(acceleration vibration sensor,temperature sensor,positioning system,speed sensor,etc.).However,relying on the operator to control compaction parameters may be a problem of undercompaction,over-compaction,or re-compaction between adjacent work *** the human factor,some technologies for checking the quality of pavement compaction,do not meet today's standards,and also lead to local damage to the *** of the best solutions to this problem is a robotic road roller with integrated compaction quality control *** system consists of two interrelated levels,the first is the plotting of the desired work area,and the second is,as the robot moves along the working route,to create a map of pavement compaction *** other subsystems are responsible for controlling the road roller's motors,adjusting speed,determining the direction of travel,and most importantly for robotic machines is identifying obstacles and avoiding *** carry out scientific work,many sensors and tests are *** is necessary to study precise positioning systems and the theory of road *** main sensors for creating a monitoring and compaction control system are a GPS module and an *** are also many necessary sensors,without these parts the work of the robot is *** are sensors such as an electronic compass,ultrasonic sensors,communication system,power control modules and *** achieve the objectives,a plan was developed consisting of several steps:*** on scientific exp

关键词： Unmanned road roller Navigation GPS Kinematic model Vibration

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