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Relationship between orbital moment anisotropy, magnetocrystalline anisotropy, and Dzyaloshinskii-Moriya interaction in W/Co/Pt trilayers

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Physical Review B 2024年第18期110卷 184401页

作者： Zhendong Chi Yong-Chang Lau Vanessa Li Zhang Goro Shibata Shoya Sakamoto Yosuke Nonaka Keisuke Ikeda Yuxuan Wan Masahiro Suzuki Masashi Kawaguchi Masako Suzuki-Sakamaki Kenta Amemiya Naomi Kawamura Masaichiro Mizumaki Motohiro Suzuki Hyunsoo Yang Masamitsu Hayashi Atsushi Fujimori Department of Physics Tsukuba Ibaraki 305-0047 Japan School of Physics and Technology Materials Sciences Research Center Institute for Solid State Physics Institute of Materials Structure Science Graduate School of Science and Technology Gunma University Kiryu Gunma 376-8515 Japan (JASRI) Sayo 679-5198 Japan Department of Electrical and Computer Engineering Department of Physics and Center for Quantum Science and Technology

We have studied the Co layer thickness dependences of magnetocrystalline anisotropy (MCA), Dzyaloshinskii-Moriya interaction (DMI), and orbital moment anisotropy (OMA) in W/Co/Pt trilayers, in order to clarify their correlations with each other. We find that the MCA favors magnetization along the film normal and monotonically increases with decreasing effective magnetic layer thickness (teff). The magnitude of the Dzyaloshinskii-Moriya exchange constant (|D|) increases with decreasing teff until teff∼1 nm, below which |D| decreases. The MCA and |D| scale with 1/teff for teff larger than ∼1 nm, indicating an interfacial origin. The increase of MCA with decreasing teff continues below teff∼ 1 nm, but with a slower rate. To clarify the cause of the teff dependences of MCA and DMI, the OMA of Co in W/Co/Pt trilayers is studied using x-ray magnetic circular dichroism. We find nonzero OMA when teff is smaller than ∼0.8 nm. The OMA increases with decreasing teff more rapidly than what is expected from the MCA, indicating that factors other than OMA contribute to the MCA at small teff. The teff dependence of the OMA also suggests that |D| at teff smaller than ∼1 nm is not related to the OMA at the interface. We propose that the growth of Co on W results in a strain and/or texture that reduces the interfacial DMI, and, to some extent, MCA at small teff.

关键词： Dzyaloshinskii-Moriya interaction Magnetic anisotropy Multilayer thin films X-ray absorption spectroscopy X-ray magnetic circular dichroism

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Freeform Direct-write and Rewritable Photonic Integrated Circuit in Phase-Change Thin Films

Freeform Direct-write and Rewritable Photonic Integrated Cir...

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Frontiers in Optics + Laser science 2023, FiO, LS 203: Part of Frontiers in Optics + Laser science 2023

作者： Wu, Changming Deng, Haoqin Yu, Heshan Takeuchi, Ichiro Ríos, Carlos Li, Mo Department of Electrical and Computer Engineering University of Washington SeattleWA98195 United States Department of Materials Science and Engineering University of Maryland College ParkMD20742 United States Institute for Research in Electronics and Applied Physics University of Maryland College ParkMD20742 United States Department of Physics University of Washington SeattleWA98195 United States

We report a fabrication-less technique to freeform directly write and rewrite the photonic integrated circuits on a thin film of low-loss phase-change material Sb2Se3 in one step, without using any lithography and etc... 详细信息

ISBN: (纸本)9781957171296

关键词： 3D printing Lithography Optical components Optical filters Ring resonators Thin films

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A numerical analysis of a high-efficiency solar cell using a DFT explored nontoxic perovskite material

A numerical analysis of a high-efficiency solar cell using a...

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International Conference on Advancement in electrical and Electronic engineering (ICAEEE)

作者： Md. Jahidul Islam Sheikh Hasib Cheragee Muhammad Masud Tarek Fahmida Gulshan Department of Materials and Metallurgical Engineering Bangladesh University of Engineering and Technology (BUET) Dhaka Bangladesh Department of Electrical and Electronic Engineering Bangladesh University of Engineering and Technology (BUET) Dhaka Bangladesh Department of Computer Science and Engineering State University of Bangladesh Dhaka Bangladesh

ISBN: (数字)9798350388282

ISBN: (纸本)9798350388299

In recent years, Perovskites have been a very interesting breakthrough in the field of photovoltaics because of their excellent performance with easy and less complex synthesizability, and cost-effectiveness. This instance suggests a uniquely designed solar cell with a novel perovskite, Rb 2 NaGaBr 6 . The perovskite, used as the active layer, is analyzed through the First Principle Density Functional Theory (DFT) calculation, where the cell is simulated by the SCAPS-1D simulation tool showing a power conversion efficiency (PCE) of 26.86% for this single-junction solar cell. In order to achieve optimum efficiency, the effects of defect concentration and the thickness of the absorber layer are examined and adjusted. Here, the influence of the absorber thickness and defect concentration on fill factor, short-circuit current ($\mathrm{J}_{\mathrm{sc}}$), and open-circuit voltage ($\mathrm{V}_{\mathrm{oc}}$) were also examined in addition to their impact on PCE. Based on the insights gathered from the simulation of the designed cell, $\mathrm{FTO} / \mathrm{SnO}_{2} / \mathrm{Rb}_{2} \mathrm{NaGaBr}_{6} / \mathrm{CuI} / \mathrm{W}$, the best results were obtained at a thickness of 0.8μm. The simulation indicated that $\mathrm{J}_{\mathrm{sc}}=25.02 \mathrm{~mA} / \mathrm{cm}^{2}$, a fill factor (FF) of 84.01%, and $\mathrm{V}_{\text {oc }}=1.2777 \mathrm{~V}$, that leads to a PCE of 26.86%.

关键词： Toxicology Fill factor (solar cell) Photovoltaic cells Short-circuit currents Discrete Fourier transforms Voltage Lead

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A Platform for Monitoring Student Commuting in the Use of School Transport in Smart Cities - A Facial Recognition Based Approach

A Platform for Monitoring Student Commuting in the Use of Sc...

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2023 International Conference on Smart Applications, Communications and Networking, SmartNets 2023

作者： Da Costa Rocha, Jesse De Souza, Marcela Alves Cardoso, Evelin Helena Silva Vijaykumar, Nandamudi De Araujo, Jasmine Priscyla Leite Frances, Renato Lisboa Graduate Program in Electrical Engineering Belém Para Brazil Information and Communication Technology Center Marabá Para Brazil Department of Computer Science Capitão Poço Para Brazil Coordination of Applied Research and Technological Development São Paulo Brazil

ISBN: (纸本)9798350302523

This article proposes an intelligent platform for monitoring students' steps on their way to school until they leave the school to their homes. This platform can identify students and notify those responsible and competent authorities in various situations of school life, such as: entering and leaving the school bus, entering and leaving school, entering the school cafeteria, etc. The first application aims to control access to the school bus through facial recognition. In the tests carried out, the recognition system achieved excellent results in all metrics. © 2023 IEEE.

关键词： Students

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Multivariate Time-Series Deep Learning for Joint Prediction of Temperature and Relative Humidity in a Closed Space

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Procedia computer science 2023年 227卷 1046-1053页

作者： Fergianto E. Gunawan Arief S. Budiman Bens Pardamean Endang Juana Sugiarto Romeli Tjeng W. Cenggoro Kartika Purwandari Alam A. Hidayat Anak. A.N.P. Redi Muhammad Asrol Industrial Engineering Department BINUS Graduate Program – Master of Industrial Engineering Bina Nusantara University Jakarta 11480 Indonesia Computer Science Department BINUS Graduate Program – Master of Computer Science Program Bina Nusantara University Jakarta 11480 Indonesia Bioinformatics and Data Science Research Center Bina Nusantara University Jakarta 11480 Indonesia Electrical Engineering Department Faculty of Industrial Technology Universitas Trisakti Jakarta 11440 Indonesia PT Impack Pratama Industri Jakarta 14350 Indonesia Computer Science Department School of Computer Science Bina Nusantara University Jakarta 11480 Indonesia Mathematics Department School of Computer Science Bina Nusantara University Jakarta 11480 Indonesia

An accurate predictive model of temperature and humidity plays a vital role in many industrial processes that utilize a closed space such as in agriculture and building management. With the exceptional performance of deep learning on time-series data, developing a predictive temperature and humidity model with deep learning is propitious. In this study, we demonstrated that deep learning models with multivariate time-series data produce remarkable performance for temperature and relative humidity prediction in a closed space. In detail, all deep learning models that we developed in this study achieve almost perfect performance with an R value over 0.99.

关键词： closed space deep learning humity prediction indoor temperature prediction

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Chlorine-substituted chiral 2D perovskite microwires with enhanced lattice rigidity for sensitive circularly polarized light detection

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science China Chemistry 2023年第12期66卷 3602-3610页

作者： Meng Yuan Yuchen Qiu Yingjie Zhao Yuyan Zhao Hui Li Xiao Wei Gaosong Chen Jiangang Feng Hanfei Gao Jinjin Zhao Jiahui Zhao Lei Jiang Yuchen Wu Key Laboratory of Bio-inspired Materials and Interfacial Science Technical Institute of Physics and ChemistryChinese Academy of SciencesBeijing 100190China College of Chemistry Zhengzhou UniversityZhengzhou 450001China College of Chemistry Jilin UniversityChangchun 130012China Key Laboratory for Special Functional Materials of Ministry of Education National and Local Joint Engineering Research Center for High-Efficiency Display and Lighting TechnologyCollaborative Innovation Center of Nano Functional Materials and ApplicationsHenan UniversityKaifeng 475004China University of Chinese Academy of Sciences(UCAS) Beijing 100049China Department of Electrical and Computer Engineering National University of SingaporeSingapore 117585Singapore Suzhou Institute for Advanced Research University of Science and Technology of ChinaSuzhou 215123China Ji Hua Laboratory Foshan 528000China Department of Physics Shanxi Datong UniversityDatong 037009China

Chiral two-dimensional(2D) perovskites offer numerous attractive features for optoelectronics owing to their soft, deformable lattices and a high degree of chemical tunability. While tremendous advances have been made in perovskite-based direct circularly polarized light(CPL) detection, the low circular polarization anisotropy factor and sensitivity of those photodetectors arising from large lattice distortion still limit practical applications. Herein, chiral 2D perovskite-based single-crystalline microwire arrays with enhanced circular dichroism(CD) absorption are fabricated with the synergy of the capillary-bridgeconfined assembly method and chlorine-substituted phenethylamine(Cl-MBA). Compared with phenethylamine(MBA)-inserted perovskites, the smaller lattice distortion and increased halogen–halogen interaction within Cl–MBA-inserted perovskites strengthen lattice rigidity and weaken electron–phonon coupling to improve carrier transport and thermal stability, resulting in high-performance CPL photodetectors with an anisotropy factor of 0.25, responsivity exceeding 95.7±9.3 A W^(-1)and detectivity exceeding(3.05±0.30)×10^(13)Jones. This work opens a new perspective to modulate circular polarization sensitivity and will be helpful to realize promising implementations in quantum computation and communication.

关键词： chiral perovskites microwire arrays lattice rigidity circular polarization photodetectors

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Real Time Monitoring System of Drinking Water Quality Using Internet of Things 24

Real Time Monitoring System of Drinking Water Quality Using ...

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24th International Electronics Symposium, IES 2022

作者： Abidin, Zainul Maulana, Eka Nurrohman, Muhammad Yogi Wardana, Fitri Candra Warsito Universitas Brawijaya Faculty of Computer Science Department of Computer Engineering Malang Indonesia Universitas Brawijaya Faculty of Engineering Department of Electrical Engineering Malang Indonesia Universitas Brawijaya Master Program in Environmental Resources and Development Management Postgraduate School Malang Indonesia Universitas Brawijaya Faculty of Mathematics and Natural Sciences Department of Chemistry Malang Indonesia

ISBN: (数字)9781665489713

ISBN: (纸本)9781665489713

In order to reduce Polyethylene Terephthalate (PET) bottle plastic waste, Universitas Brawijaya (UB) provided reverse osmosis drinking water in some buildings. Water monitoring is needed to keep the water quality. Therefore, a water monitoring system based on Total Dissolved Solids (TDS), pH, and water flow was proposed. Since the UB buildings have good internet connection (WiFi), Internet of Things (IoT) was employed to the system to support real time monitoring. So, data of TDS, pH, and water flow can be periodically sent to cloud and displayed to a specific website. The system worked very well and the data can be summarized and used by operator as indicators of performance of the reverse osmosis machine. When water quality and performance decrease, operator must check filters membrane or water pump for further maintenance to support long life use. Although the sensors have been calibrated properly, some measurement errors occur. The measurement error percentages of TDS and pH are 0.62% and 0.94%, respectively. © 2022 IEEE.

关键词： Internet of things

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Data-driven study of composition-dependent phase compatibility in NiTi shape memory alloys

arXiv

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arXiv 2024年

作者： Zadeh, Sina Hossein Cakirhan, Cem Khatamsaz, Danial Broucek, John Brown, Timothy D. Qian, Xiaoning Karaman, Ibrahim Arroyave, Raymundo Department of Materials Science & Engineering Texas A&M University United States Sandia National Laboratories United States Department of Electrical & Computer Engineering Texas A&M University United States

The martensitic transformation in NiTi-based Shape Memory Alloys (SMAs) provides a basis for shape memory effect and superelasticity, thereby enabling applications requiring solid-state actuation and large recoverable shape changes upon mechanical load cycling. In order to tailor the transformation to a particular application, the compositional dependence of properties in NiTi-based SMAs, such as martensitic transformation temperatures and hysteresis, has been exploited. However, the compositional design space is large and complex, and experimental studies are expensive. In this work, we develop an interpretable piecewise linear regression model that predicts the λ2 parameter, a measure of compatibility between austenite and martensite phases, and an (indirect) factor that is well-correlated with martensitic transformation hysteresis, based on the chemical features derived from the alloy composition. The model is capable of predicting, for the first time, the type of martensitic transformation for a given alloy chemistry. The proposed model is validated by experimental data from the literature as well as in-house measurements. The results show that the model can effectively distinguish between B19 and B19′ regions for any given composition in NiTi-based SMAs and accurately estimate the λ2 parameter. Our analysis also reveals that the weighted average of the quotient of the first ionization energy and the Voronoi coordination number is a key compositional characteristic that correlates with the λ2 parameter and thermodynamic responses, including the transformation hysteresis, martensite start temperature, and critical temperature. The work herein demonstrates the potential of data-driven methodologies for understanding and designing NiTi-based SMAs with desired transformation characteristics. © 2024, CC BY-NC-ND.

关键词： Martensitic transformations

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Dynamically Tunable Magnon-Magnon Coupling in a Perpendicular Anisotropy Magnetic Garnet-Ferromagnet Bilayer

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Physical Review Letters 2025年第12期134卷 126702-126702页

作者： Yabin Fan Takian Fakhrul Justin T. Hou Chung-Tao Chou Bharat Khurana Yaroslav Tserkovnyak Luqiao Liu Caroline A. Ross Department of Materials Science and Engineering Massachusetts Institute of Technology Cambridge Massachusetts 02139 USA Department of Materials and Metallurgical Engineering Bangladesh University of Engineering and Technology Dhaka 1000 Bangladesh Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology Cambridge Massachusetts 02139 USA Microsystems Technology Laboratories Massachusetts Institute of Technology Cambridge Massachusetts 02139 USA Department of Physics Massachusetts Institute of Technology Cambridge Massachusetts 02139 USA Department of Physics and Astronomy University of California Los Angeles Los Angeles California 90095 USA

We experimentally explore the interfacial coherent spin pumping in the magnon-magnon hybridized regime of a perpendicular anisotropy ferrimagnetic insulator (Bi-substituted yttrium iron garnet, or BiYIG) and ferromagnetic metal (permalloy, or Py) bilayer. In addition to the interfacial exchange coupling-induced avoided crossings between the uniform modes of BiYIG and Py, we observe that the gap opening can be tailored by changing the relative orientations of the BiYIG and Py magnetizations due to a purely dynamic interaction. The avoided-crossing gap opening is small (large) when BiYIG and Py magnetizations are nearly perpendicular (partially collinear) to each other, indicating that interfacial fieldlike torque from spin pumping plays a dominant role. Macrospin simulations with a sizable fieldlike spin-pumping torque agree with the gap opening trend observed in the experiments.

关键词： Anisotropy

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Frequency Scaling Millimeter Wave Acoustic Resonators using Ion Beam Trimmed Lithium Niobate

Frequency Scaling Millimeter Wave Acoustic Resonators using ...

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IEEE International Frequency Control Symposium

作者： Vakhtang Chulukhadze Kenny Huynh Jack Kramer Michael Liao Sinwoo Cho Lezli Matto Omar A. Barrera Can Cui Mark S. Goorsky Ruochen Lu Department of Electrical and Computer Engineering The University of Texas at Austin Austin TX USA Department of Materials Science & Engineering University of California Los Angeles CA USA

SummaryThis paper reports a method of frequency scaling millimeter wave thin-film lithium niobate (LiNbO 3 ) acoustic resonators using ion beam assisted Argon gas cluster trimming whilst maintaining a high figure of merit (FoM) and averting ultra-thin-film fabrication difficulties. A transferred 100 nm thick 128° Y-cut LiNbO 3 thin film is trimmed to a thickness of 75 nm. Consequently, a 24.4 GHz first-order antisymmetric mode (A1) resonator with a high k 2 of 34.3%, a Q of 54, and an FoM of 18.5 is presented. The quality of the film was maintained during the trimming process, proven by material-level analysis, and exhibited a similar f•Q product compared with resonators fabricated using the original film. These results show a viable and less complex path toward further frequency scaling acoustic devices.

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