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Strong Time-Consistent Core for a Class of Linear-State Games

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Journal of Systems Science & Complexity 2020年第4期33卷 1080-1107页

作者： SEDAKOV artem QIAO Han Saint Petersburg State University 7/9 Universitetskaya nab.Saint Petersburg 199034Russia School of Mathematics and Statistics Qingdao UniversityQingdao 266071China Institute of Applied Mathematics of Shandong Qingdao 266071China School of Economics and Management University of the Chinese Academy of SciencesBeijing 100190China

Time consistency is an important property of any solution to a cooperative dynamic *** the solution satisfies this property,players do not need to revise it and break a cooperative *** time consistency is a stricter property which is applicable to cooperative set *** this paper,the authors examine a class of linear-state games which come into use in many applications of dynamic *** the core as the solution of the game,the authors provide sufficient conditions for its strong time *** case of its inconsistency,the authors show how core elements can be realized using a strong time-consistent imputation distribution procedure.

关键词： property consistency dynamic

Assessment of the Elastic-Wave Well Treatment in Oil-Bearing Clastic and Carbonate Reservoirs

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Fluid Dynamics & Materials Processing 2023年第6期19卷 1495-1505页

作者： Vladimir Poplygin Chengzhi Qi Mikhail Guzev Evgenii Kozhevnikov artem Kunitskikh Evgenii Riabokon Mikhail Turbakov Perm National Research Polytechnic University Perm614990Russian Beijing University of Civil Engineering and Architecture Beijing100049China Institute for Applied Mathematics FEB RAS Vladivostok690041Russian

A set of techniques for well treatment aimed to enhance oil recovery are considered in the present *** are based on the application of elastic waves of various types(dilation-wave,vibro-wave,or other acoustically induced effects).In such a context,a new technique is proposed to predict the effectiveness of the elastic-wave well treatment using the rank distribution according to Zipf’s *** is revealed that,when the results of elastic wave well treatments are analyzed,groups of wells exploiting various geological deposits can differ in terms of their slope coefficients and free *** the slope coefficient increases,the average increase in the well oil production rate(after the well treatment)becomes *** equation is obtained accordingly for estimating the slope coefficient in the Zipf’s equation from the frequency of the elastic *** obtained results demonstrate the applicability of the Zipf’s law in the analysis of the technological efficiency of elastic-wave well treatment methods.

关键词： Elastic wave well treatment oil well rate Zipf’s law rank distribution slope coefficient

Crystal structure prediction at finite temperatures

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npj Computational Materials 2023年第1期9卷 306-313页

作者： Ivan A.Kruglov Alexey V.Yanilkin Yana Propad Arslan B.Mazitov Pavel Rachitskii artem R.Oganov Moscow Institute of Physics and Technology 9 Institutsky laneDolgoprudny 141700Russia Dukhov Research Institute of Automatics(VNIIA) Moscow 127055Russia Emerging Technologies Research Center XPANCEODubai Investment Park FirstDubaiUnited Arab Emirates Skolkovo Institute of Science and Technology Skolkovo Innovation Center30-1 Bolshoy blvdMoscow 121205Russia.

Crystal structure prediction is a central problem of crystallography and materials science, which until mid-2000s was consideredintractable. Several methods, based on either energy landscape exploration or, more commonly, global optimization, largely solvedthis problem and enabled fully non-empirical computational materials discovery. A major shortcoming is that, to avoid expensivecalculations of the entropy, crystal structure prediction was done at zero Kelvin, reducing to the search for the global minimum ofthe enthalpy rather than the free energy. As a consequence, high-temperature phases (especially those which are not quenchableto zero temperature) could be missed. Here we develop an accurate and affordable solution, enabling crystal structure prediction atfinite temperatures. Structure relaxation and fully anharmonic free energy calculations are done by molecular dynamics with aforcefield (which can be anything from a parametric forcefield for simpler cases to a trained on-the-fly machine learning interatomicpotential), the errors of which are corrected using thermodynamic perturbation theory to yield accurate results with full ab initioaccuracy. We illustrate this method by applications to metals (probing the P–T phase diagram of Al and Fe), a refractory covalentsolid (WB), an Earth-forming silicate MgSiO_(3) (at pressures and temperatures of the Earth’s lower mantle), and ceramic oxide HfO_(2).

关键词： prediction structure Crystal

High-spatial-resolution composition analysis of micro/nanostructures with a nanoscale compositional variation

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Nano Research 2023年第1期16卷 1090-1095页

作者： Meng Wang Xiaofeng Wang Zhican Zhou Feng Xia Haoran Zhang artem Shelaev Xinzheng Zhang Chuanfei Guo Jingjun Xu Qian Liu Chinese Academy of Sciences(CAS)Key Laboratory of Nanosystem and Hierarchical Fabrication CAS Center for Excellence in NanoscienceNational Center for Nanoscience and Technology&University of Chinese Academy of SciencesBeijing 100190China The MOE Key Laboratory of Weak-Light Nonlinear Photonics TEDA Applied Physics SchoolNankai UniversityTianjin 300457China Sino-German College of Intelligent Manufacturing Shenzhen Technology UniversityShenzhen 518118China Department of Materials Science and Engineering Southern University of Science and TechnologyShenzhen 518055China College of Physics Qingdao UniversityQingdao 26607China NT-MDT Co.Building 100 ZelenogradMoscow 124482Russia Institute of Physics Kazan Federal UniversityKazan 420008Russia Guangdong Provincial Key Laboratory of Functional Oxide Materials and Devices Southern University of Science and TechnologyShenzhen 518055China College of Material Science and Technology Nanjing University of Aeronautics and AstronauticsNanjing 210016China

The composition of materials in a micro-/nano-devices plays a key role in determining their mechanical,physical,and chemical ***,for devices with a compositional change on nanoscale which can often be achieved by point-by-point direct writing technology using a focused ion beam(FIB),electron beam(EB),or laser beam(LB),but so far,nanoscale composition analysis of a large-area micro/nano structures with a variation composition remains a big challenge in cost,simpleness,and *** we present a feasible route to realize large-area composition analysis with nanoscale spatial resolution by using Raman *** experimentally verified the capability of this method by analyzing a complex Sn-SnOx system of a microscale grayscale mask with nanoscale spatial resolution of *** analyses using Auger electron spectroscopy,transmission electron microscopy,and atomic force microscopy indicated the effectiveness and practicality of our *** work opens up a way to analyze the composition of a large-area complex system at a nanoscale spatial resolution,and the method can be extended to many other material systems.

关键词： Raman spectroscopy nanoscale resolution composition analysis large-area

Numerical Investigation of Effect of Porosity and Fuel Inlet Velocity on Diffusion Filtration Combustion

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Journal of Thermal Science 2021年第4期30卷 1278-1288页

作者： TAROKH Ali LAVRENTEV artem MANSOURI Abraham Department of Mechanical Engineering Lakehead UniversityThunder BayP7B5E1Canada Department of Mechanical Engineering Higher College of TechnologyDBMDubai 15825UAE

Methane-air diffusion filtration combustion in a radiative round-jet burner was numerically investigated in this *** purpose of this study was focused on the effects of porous media porosity and gas velocity on temperature distribution and CO and NO_(x)*** chemical kinetics was used where air and methane were assumed to be at their stoichiometric ratio,while thermo-physical properties were varied per the solid matrix porosity *** characteristics were evaluated based on conduction and radiation as the two primary heat transfer modes within the solid *** simulations were carried out based on a packed bed with 3 mm alumina *** show that combustion temperature increases while the temperature gradient decreases with the increase in porosity,yielding higher NO_(x),and lower CO ***,the combustion temperature is the lowest and most uniformly distributed with 1 m/s and 3 m/s gas velocities,wherewith 3 m/s gas velocity,combustion occurs outside of the porous *** corresponding NO_(x)and CO emissions are the lowest with 1 m/s gas velocity and increase with the increase in gas velocity from 1 m/s to 10m/s.

关键词： non-premixed diffusion filtration combustion methane-air combustion porous media numerical simulation

ITO-free silicon-integrated perovskite electrochemical cell for light-emission and light-detection

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Opto-Electronic Advances 2023年第9期6卷 45-58页

作者： Maria Baeva Dmitry Gets artem Polushkin Aleksandr Vorobyov Aleksandr Goltaev Vladimir Neplokh Alexey Mozharov Dmitry VKrasnikov Albert GNasibulin Ivan Mukhin Sergey Makarov Alferov University Khlopina 8/3St.Petersburg 194021Russia Department of Physics and Engineering ITMO UniversityLomonosova 9St.Petersburg 197101Russia Institute of Automation and Control Processes(IACP) Far Eastern Branch of Russian Academy of SciencesUlitsa Radio 5Vladivostok 690041Primorsky KraiRussia Peter the Great St.Petersburg Polytechnic University Polytechnicheskaya 29St.Petersburg 195251Russia Skolkovo Institute of Science and Technology Nobel 3Moscow 121205Russia Qingdao Innovation and Development Center Harbin Engineering UniversityQingdao 266000China.

Halide perovskite light-emitting electrochemical cells are a novel type of the perovskite optoelectronic devices that differs from the perovskite light-emitting diodes by a simple monolayered ***,we develop a perovskite electrochemical cell both for light emission and detection,where the active layer consists of a composite material made of halide perovskite microcrystals,polymer support matrix,and added mobile *** perovskite electrochemical cell of CsPbBr3:PEO:LiTFSI composition,emitting light at the wavelength of 523 nm,yields the luminance more than 7000 cd/m2 and electroluminescence efficiency of 4.3 lm/*** device fabricated on a silicon substrate with transparent single-walled carbon nanotube film as a top contact exhibits 40%lower Joule heating compared to the perovskite optoelectronic devices fabricated on conventional ITO/glass ***,the device operates as a photodetector with a sensitivity up to 0.75 A/W,specific detectivity of 8.56×1011 Jones,and linear dynamic range of 48 *** technological potential of such a device is proven by demonstration of 24-pixel indicator display as well as by successful device miniaturization by creation of electroluminescent images with the smallest features less than 50μm.

关键词： composite inorganic halide perovskite silicon single walled carbon nanotubes light-emitting electrochemical cell photodetector indicator display

First-principles prediction of electronic transport in fabricated semiconductor heterostructures via physics-aware machine learning

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npj Computational Materials 2021年第1期7卷 834-845页

作者： artem K.Pimachev Sanghamitra Neogi Ann and H.J.Smead Aerospace Engineering Sciences University of Colorado Boulder3775 Discovery DriveBoulder 80303 COUSA

First-principles techniques for electronic transport property prediction have seen rapid progress in recent ***,it remains a challenge to predict properties of heterostructures incorporating fabrication-dependent ***-learning(ML)approaches are increasingly being used to accelerate design and discovery of new materials with targeted properties,and extend the applicability of first-principles techniques to larger ***,few studies exploited ML techniques to characterize relationships between local atomic structures and global electronic transport *** this work,we propose an electronictransport-informatics(ETI)framework that trains on ab initio models of small systems and predicts thermopower of fabricated silicon/germanium heterostructures,matching measured *** demonstrate application of ML approaches to extract important physics that determines electronic transport in semiconductor heterostructures,and bridge the gap between ab initio accessible models and fabricated *** anticipate that ETI framework would have broad applicability to diverse materials classes.

关键词： coefficients principles electronic

Review of the relativistic magnetron

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Matter and Radiation at Extremes 2019年第6期4卷 44-62页

作者： Dmitrii Andreev artem Kuskov Edl Schamiloglu Department of Electrical and Computer Engineering University of New MexicoAlbuquerqueNew Mexico 87131-0001USA

The cavity magnetron is the most compact,efficient source of high-power microwave(HPM)*** imprint that the magnetron has had on the world is comparable to the invention of the nuclear ***-and low-power magnetrons are used in many applications,such as radar systems,plasma generation for semiconductor processing,and—the most common—microwave ovens for personal and industrial *** the invention of the magnetron in 1921 by Hull,scientists and engineers have improved and optimized magnetron technology by altering the geometry,materials,and operating conditions,as well as by identifying applications.A major step in advancing magnetrons was the relativistic magnetron introduced by Bekefi and Orzechowski at MIT(USA,1976),followed by the invention of the relativistic magnetron with diffraction output(MDO)by Kovalev and Fuks at the Institute of Applied Physics(Soviet Union,1977).The performance of relativistic magnetrons did not advance significantly thereafter until researchers at the University of Michigan and University of New Mexico(UNM)independently introduced new priming techniques and new cathode topologies in the 2000s,and researchers in Japan identified a flaw in the original Soviet MDO ***,the efficiency of the MDO has reached 92%with the introduction of a virtual cathode and magnetic mirror,proposed by Fuks and Schamiloglu at UNM(2018).This article presents a historical review of the progression of the magnetron from a device intended to operate as a high-voltage switch controlled by the magnetic field that Hull published in 1921,to the most compact and efficientHPMsource in the twenty-first century.

关键词： relativistic microwave mirror

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

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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