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Electron-phonon coupling in d-electron solids: A temperature-dependent study of rutile TiO2 by first-principles theory and two-photon photoemission

arXiv

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arXiv 2020年

作者： Shang, Honghui Argondizzo, Adam Tan, Shijing Zhao, Jin Rinke, Patrick Carbogno, Christian Scheffler, Matthias Petek, Hrvoje Fritz-Haber-Institut der Max-Planck-Gesellschaft Faradayweg 46 Berlin-DahlemD-14195 Germany Department of Physics and Astronomy Pittsburgh Quantum Institute University of Pittsburgh PittsburghPA15260 United States Department of Physics University of Science and Technology of China Hefei230026 China Department of Applied Physics Aalto University P.O. Box 11100 AaltoFI-00076 Finland State Key Laboratory of Computer Architecture Institute of Computing Technology Chinese Academy of Sciences Beijing100190 China

Rutile TiO2 is a paradigmatic transition-metal oxide with applications in optics, electronics, photocatalysis, etc., that are subject to pervasive electron-phonon interaction. To understand how energies of its electronic bands, and in general semiconductors or metals where the frontier orbitals have a strong d-band character, depend on temperature, we perform a comprehensive theoretical and experimental study of the effects of electron-phonon (e-p) interactions. In a two-photon photoemission (2PP) spectroscopy study we observe an unusual temperature dependence of electronic band energies within the conduction band of reduced rutile TiO2, which is contrary to the well-understood sp-band semiconductors and points to a so far unexplained dichotomy in how the e-p interactions affect differently the materials where the frontier orbitals are derived from the sp- and d orbitals. To develop a broadly applicable model, we employ state-of-the-art first-principles calculations that explain how phonons promote interactions between the Ti-3d orbitals of the conduction band within the octahedral crystal field. The characteristic difference in e-p interactions experienced by the Ti-3d orbitals of rutile TiO2 crystal lattice are contrasted with the more familiar behavior of the Si-2s orbitals of stishovite SiO2 polymorph, in which the frontier 2s orbital experiences a similar crystal field with the opposite effect. The findings of this analysis of how e-p interactions affect the d- and sp-orbital derived bands can be generally applied to related materials in a crystal field. The calculated temperature dependence of d-orbital derived band energies agrees well with and explains the temperature-dependent inter-d-band transitions recorded in 2PP spectroscopy of TiO2. The general understanding of how e-pinteractions affect d-orbital derived bands is likely to impact the understanding of temperature-dependent properties of highly correlated materials. Copyright © 2020, The Authors. All r

关键词： Temperature distribution

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Extrapolating continuous color emotions through deep learning

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Physical Review Research 2020年第3期2卷 033350-033350页

作者： Vishaal Ram Laura P. Schaposnik Nikos Konstantinou Eliz Volkan Marietta Papadatou-Pastou Banu Manav Domicele Jonauskaite Christine Mohr Milton High School Milton Georgia 30004 USA Department of Mathematics Statistics and Computer Science University of Illinois Chicago Illinois 60607 USA Department of Rehabilitation Sciences Faculty of Health Sciences Cyprus University of Technology Limassol 3036 Cyprus Department of Psychology Cyprus International University Nicosia 99258 Cyprus National and Kapodistrian University of Athens Athens 157 72 Greece Kadir Has University Faculty of Art and Design Department of Interior Architecture and Environmental Design Kadir Has Caddesi 34083 Cibali-İstanbul Institute of Psychology University of Lausanne Lausanne 1015 Switzerland

By means of an experimental dataset, we use deep learning to implement an RGB (red, green, and blue) extrapolation of emotions associated to color, and do a mathematical study of the results obtained through this neural network. In particular, we see that males (type-m individuals) typically associate a given emotion with darker colors, while females (type-f individuals) associate it with brighter colors. A similar trend was observed with older people and associations to lighter colors. Moreover, through our classification matrix, we identify which colors have weak associations to emotions and which colors are typically confused with other colors.

关键词： Animal behavior Memory Speech

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Mixed size crossbar based RRAM CNN accelerator with overlapped mapping method 18

Mixed size crossbar based RRAM CNN accelerator with overlapp...

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37th IEEE/ACM International Conference on computer-Aided Design, ICCAD 2018

作者： Zhu, Zhenhua Lin, Jilan Cheng, Ming Xia, Lixue Sun, Hanbo Chen, Xiaoming Wang, Yu Yang, Huazhong Department of Electronic Engineering Tsinghua University Beijing China Beijing China State Key Laboratory of Computer Architecture Institute of Computing Technology Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781450359504

Convolutional Neural Networks (CNNs) play a vital role in machine learning. CNNs are typically both computing and memory intensive. Emerging resistive random-access memories (RRAMs) and RRAM crossbars have demonstrated great potentials in boosting the performance and energy efficiency of CNNs. Compared with small crossbars, large crossbars show better energy efficiency with less interface overhead. However, conventional workload mapping methods for small crossbars cannot make full use of the computation ability of large crossbars. In this paper, we propose an Overlapped Mapping Method (OMM) and MIxed Size Crossbar based RRAM CNN Accelerator (MISCA) to solve this problem. MISCA with OMM can reduce the energy consumption caused by the interface circuits, and improve the parallelism of computation by leveraging the idle RRAM cells in crossbars. The simulation results show that MISCA with OMM can achieve 2.7x speedup, 30% utilization rate improvement, and 1.2x energy efficiency improvement on average compared with fixed size crossbars based accelerator using the conventional mapping method. In comparison with GPU platform, MISCA with OMM can perform 490.4x higher on average in energy efficiency and 20x higher on average in speedup. Compared with PRIME, an existing RRAM based accelerator, MISCA has 26.4x speedup and 1.65x energy efficiency improvement. © 2018 ACM.

关键词： Energy efficiency

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Corrigendum to “Trajectory design and resource allocation for UAV energy minimization in a rotary-wing UAV-enabled WPCN” [Alex. Eng. J. 60(1) (2021) 1787–1796]

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Alexandria Engineering Journal 2022年第12期61卷 11003-11003页

作者： Zhen Wang Miaowen Wen Shuping Dang Lisu Yu Yuhao Wang School of Artificial Intelligence Beijing University of Posts and Telecommunications Beijing 100876 China School of Information Engineering Nanchang University Nanchang 330031 China School of Electronic and Information Engineering South China University of Technology Guangzhou 510641 China Department of Electrical and Electronic Engineering University of Bristol Bristol BS8 1UB UK State Key Laboratory of Computer Architecture Institute of Computing Technology Chinese Academy of Sciences Beijing 100190 China

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QM-FOrMS: A portable and cost-effective upper extremity rehabilitation system

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Smart Health 2019年 14卷

作者： Lin, Feng Ajay, Jerry Langan, Jeanne Cavuoto, Lora Nwogu, Ifeoma Subryan, Heamchand Xu, Wenyao ICSR College of Computer Science and Technology Zhejiang University United States Department of Computer Science and Engineering University at Buffalo (SUNY) United States Department of Rehabilitation Science University at Buffalo (SUNY) United States Department of Industrial and Systems Engineering University at Buffalo (SUNY) United States Buffalo School of Architecture and Planning University at Buffalo (SUNY) United States Department of Computer Science Rochester Institute of Technology United States

Long-term rehabilitation opportunities are critical for millions of individuals with chronic upper limb motor deficits striving to improve their motor performance. While formal rehabilitation is well organized in the acute stages of stroke, there is minimal professional support of rehabilitation across the lifespan. In this paper, we introduce an upper extremity rehabilitation system, the Quality of Movement Feedback-Oriented Measurement System (QM-FOrMS), by integrating cost-effective portable sensors and clinically verified motion quality analysis towards individuals with upper limb motor deficits. Specifically, QM-FOrMS is comprised of an eTextile pressure sensitive mat, named Smart Mat, a sensory can, named Smart Can, and a mobile device. A personalizable and adaptive upper limb rehabilitation program is developed, including both unilateral and bilateral functional activities which can be selected from a list or custom designed to further tailor the program to the individual. © 2019 Elsevier Inc.

关键词： Customized exercise programs Quality of movement Stroke rehabilitation Upper extremity rehabilitation

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Learning-based Offloading of Tasks with Diverse Delay Sensitivities for Mobile Edge Computing

Learning-based Offloading of Tasks with Diverse Delay Sensit...

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IEEE Global Communications Conference

作者： Tianyu Zhang Yi-Han Chiang Cristian Borcea Yusheng Ji Department of Informatics SOKENDAI (The Graduate University for Advanced Studies) Tokyo Japan Information Systems Architecture Science Research Division National Institute of Informatics Tokyo Japan Department of Computer Science New Jersey Institute of Technology NJ USA

ISBN: (数字)9781728109626

ISBN: (纸本)9781728109633

The ever-evolving mobile applications need more and more computing resources to smooth user experience and sometimes meet delay requirements. Therefore, mobile devices (MDs) are gradually having difficulties to complete all tasks in time due to the limitations of computing power and battery life. To cope with this problem, mobile edge computing (MEC) systems were created to help with task processing for MDs at nearby edge servers. Existing works have been devoted to solving MEC task offloading problems, including those with simple delay constraints, but most of them neglect the coexistence of deadline-constrained and delay-sensitive tasks (i.e., the diverse delay sensitivities of tasks). In this paper, we propose an actor-critic based deep reinforcement learning (ADRL) model that takes the diverse delay sensitivities into account and offloads tasks adaptively to minimize the total penalty caused by deadline misses of deadline-constrained tasks and the lateness of delay-sensitive tasks. We train the ADRL model using a real data set that consists of the diverse delay sensitivities of tasks. Our simulation results show that the proposed solution outperforms several heuristic algorithms in terms of total penalty, and it also retains its performance gains under different system settings.

关键词： Task analysis Delays Sensitivity Computational modeling Edge computing Load modeling Mobile handsets

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Erratum to: Several Articles in JETP Letters

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JETP Letters 2022年第8期116卷 589-591页

作者： Godunov, S. I. Karkaryan, E. K. Novikov, V. A. Rozanov, A. N. Vysotsky, M. I. Zhemchugov, E. V. Inogamov, N. A. Perov, E. A. Zhakhovsky, V. V. Shepelev, V. V. Petrov, Yu. V. Fortova, S. V. Tarasenko, S. V. Shavrov, V. G. Valeev, B. Yu. Toksumakov, A. N. Kvashnin, D. G. Chernozatonskii, L. A. Makarov, A. S. Kretova, M. A. Afonin, G. V. Qiao, J. C. Glezer, A. M. Kobelev, N. P. Khonik, V. A. Klumov, B. A. Magadeev, E. B. Vakhitov, R. M. Tamm Department of Theoretical Physics Lebedev Physical Institute Russian Academy of Sciences Moscow Russia Alikhanov Institute for Theoretical and Experimental Physics National Research Center Kurchatov Institute Moscow Russia Centre de Physique des Particules de Marseille CPPM Aix-Marseille Universite CNRS/IN2P3 Marseille France Landau Institute for Theoretical Physics Russian Academy of Sciences Chernogolovka Russia Joint Institute for High Temperatures Russian Academy of Sciences Moscow Russia All-Russia Research Institute of Automatics Moscow Russia Institute for Computer Aided Design Russian Academy of Sciences Moscow Russia Moscow Institute of Physics and Technology (National Research University) Dolgoprudnyi Russia Dоnetsk Institute for Physics and Engineering Donetsk Ukraine Kotelnikov Institute of Radio Engineering and Electronics Russian Academy of Sciences Moscow Russia Emanuel Institute of Biochemical Physics Russian Academy of Sciences Moscow Russia Scientific School on Chemistry and Technology of Polymer Materials Plekhanov Russian University of Economics Moscow Russia Voronezh State Pedagogical University Voronezh Russia School of Mechanics Civil Engineering and Architecture Northwestern Polytechnical University Xi’an People’s Republic of China National University of Science and Technology MISiS Moscow Russia Institute of Solid State Physics Russian Academy of Sciences Chernogolovka Russia Bashkir State University Ufa Russia

An Erratum to this paper has been published: https://***/10.1134/S0021364022340021

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An IoT sensor network to model occupancy profiles for energy usage simulation tools

An IoT sensor network to model occupancy profiles for energy...

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2018 Global Internet of Things Summit, GIoTS 2018

作者： Saralegui, Unai Anton, Miguel Angel Arbelaitz, Olatz Muguerza, Javier Sustainable Construction Division Tecnalia Research Innovation Donostia-San-Sebastian Spain Computer Architecture and Technology Department University of the Basque Country UPV/EHU Donostia-San-Sebastian Spain

ISBN: (纸本)9781538664513

The development of IoT devices has allowed to install large amounts of sensors in different environments. Consequently, monitoring small houses and entire buildings has become possible. In addition, buildings are one of the biggest energy consumers, so the monitoring of the energy waste, and its sources, is gaining attention. Human behaviour has been reported as being the main discrepancy source between energy usage simulations and real usage, thus being able to easily monitor such behaviour will bring greater insight in the building usage. In this paper, an IoT sensor network is proposed to model occupancy profiles at room level. Such measurement of users' behaviour along with additional information such as temperature or humidity can be used to develop strategies to save energy, especially regarding heating, ventilating and airconditioning (HVAC) systems. The proposed equipment has been gathering data for some months in a workplace containing several meeting rooms. Four of those rooms were monitored and later analysed to test the validity of the proposed approach. The results show that it is possible to obtain occupancy profiles by using simple IoT equipment. © 2018 IEEE.

关键词： Sensor networks

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Elastic modulus, nuclear radiation transmission properties of Fe-based/contained novel alloys for critical radiation applications

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Radiation Physics and Chemistry 2025年 237卷

作者： ALMisned, Ghada Susoy, Gulfem Baykal, Duygu Sen Alkarrani, Hessa Güler, Ömer Issa, Shams A.M. Zakaly, Hesham M.H. Tekin, H.O. Department of Physics College of Science Princess Nourah Bint Abdulrahman University P.O. Box 84428 Riyadh11671 Saudi Arabia Istanbul University Faculty of Science Department of Physics Istanbul34134 Turkey Istanbul Nisantasi University Faculty of Engineering and Architecture Mechatronics Engineering Istanbul34398 Turkey Research Institute for Medical and Health Sciences University of Sharjah Sharjah Sharjah27272 United Arab Emirates Department of Medical Diagnostic Imaging College of Health Sciences University of Sharjah Sharjah27272 United Arab Emirates Munzur University Rare Earth Elements Application and Research Center Tunceli62000 Turkey Physics Department Faculty of Science University of Tabuk Tabuk Saudi Arabia Physics Department Faculty of Science Al-Azhar University Assiut Egypt Institute of Physics and Technology Ural Federal University Yekaterinburg Russia Istinye University Faculty of Engineering and Natural Sciences Computer Engineering Department Istanbul34396 Turkey

This study explores the gamma-ray and neutron shielding properties and mechanical performance of eight Fe-based alloys with varying elemental compositions and densities. Different parameters such as mass attenuation coefficients, linear attenuation coefficients, half-value layer, tenth-value layer, mean free path, fast neutron removal cross-sections, transmission factors were analysed using PHITS and Phy-X/PSD codes. Moreover, elastic modulus values were calculated for each alloy sample. Our results reveal that the S9 alloy, with high density and tungsten contribution, exhibited superior shielding and mechanical properties, achieving the lowest TF, HVL, and TVL values. In contrast, the low-density S1 alloy performed weakest, reflecting its lighter elemental composition. Intermediate alloys like MAR-302 and Cupero-Nickel showed balanced performance, suitable for moderate shielding needs. Strong correlations between elemental compositions, particularly high-Z elements like tungsten and boron, and shielding efficiency were observed. It can be concluded that optimizing elemental composition and density is critical for designing alloys with enhanced multifunctional properties. © 2025 Elsevier Ltd

关键词： Gamma rays

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Using the Model of a Functional Rationalizer of Consumer Behavior in Recommendation Systems for Managing the Transport Activity of the Urban Population

Using the Model of a Functional Rationalizer of Consumer Beh...

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International Conference on Soft Computing and Measurements (SCM)

作者： Yaroslav A. Seliverstov Svytoslav A. Seliverstov Nikolay V. Podoprigora Alexey L. Starichenkov Roman S. Naryshkin Laboratory of Intelligent Transport Systems Solomenko Institute of Transport Problems of the Russian Academy of Sciences Institute of Computer Science and Technology Peter the Great St.Petersburg Polytechnic University St. Petersburg Russian Federation Department of Ground Transportation Technological Machines Saint Petersburg State University of Architecture and Civil Engineering St. Petersburg Russian Federation Department of Ship Control Systems Saint Petersburg Electrotechnical University “LETI” St. Petersburg Russian Federation Department of Programming Technology Saint Petersburg State University St. Petersburg Russian Federation

ISBN: (数字)9781728196923

ISBN: (纸本)9781728196930

An overview of existing urban software mobile applications of the transport and economic direction is given. A model of a functional rationalizer of consumer behavior is being built. The software model of the functional rationalizer of consumer behavior (SM FRCB) was developed for the first time. PMFRCB allows the user to expand the number of his preferred needs (occupations, activities) during the daily cycle through intelligent recommendations. Also, SM FRCB allows you to optimize needs (activities, activities) at the cost and rate of their use. The SM FRCB is made in Python_3 using the libraries matplotlib, collections, numpy, pyplot, mplot3d. The analysis of consumer behavior before and after using the functional rationalizer model is carried out. The graphical results of a structural analysis of the costs of old and new consumer behavior, analysis of consumer behavior within the boundaries of the theory of possibilities and the model of transport behavior of a resident before and after applying the functional rationalizer model are presented. The prospects of further improving the SM FRCB are considered.

关键词： Consumer behavior Mobile applications Sociology Statistics Logistics Analytical models Software

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