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Metallicity and Anomalous Hall Effect in Epitaxially-Strained, Atomically-thin RuO2 Films

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arXiv 2025年

作者： Jeong, Seung Gyo Lee, Seungjun Lin, Bonnie Yang, Zhifei Choi, In Hyeok Oh, Jin Yo ung Song, Sehwan Lee, Seung wook Nair, Sreejith Choudhary, Rashmi Parikh, Juhi Park, Sungkyun Choi, Woo Seok Lee, Jong Seok LeBeau, James M. Low, Tony Jalan, Bharat Department of Chemical Engineering and Materials Science University of Minnesota−Twin Cities MinneapolisMN55455 United States Department of Electrical and Computer Engineering University of Minnesota MinneapolisMN55455 United States Department of Materials Science and Engineering Massachusetts Institute of Technology CambridgeMA02139 United States Gwangju61005 Korea Republic of Department of Physics Sungkyunkwan University Suwon16419 Korea Republic of Department of Physics Pusan National University Busan46241 Korea Republic of

The anomalous Hall effect (AHE), a hallmark of time-reversal symmetry breaking, has been reported in rutile RuO2, a debated metallic altermagnetic candidate. Previously, AHE in RuO2 was observed only in strain-relaxed thick films under extremely high magnetic fields (~50 T). Yet, in ultrathin strained films with distinctive anisotropic electronic structures, there are no reports, likely due to disorder and defects suppressing metallicity thus hindering its detection. Here, we demonstrate that ultrathin, fully-strained 2 nm TiO2/t nm RuO2/TiO2 (110) heterostructures, grown by hybrid molecular beam epitaxy, retain metallicity and exhibit a sizeable AHE at a significantly lower magnetic field (2 (110) thin films. These findings establish ultrathin RuO2 as a platform for strain-engineered magnetism and underscore the transformative potential of epitaxial design in advancing spintronic technologies. © 2025, CC BY.

关键词： Molecular beam epitaxy

Spin-to-charge conversion at KTaO3(111) interfaces

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arXiv 2025年

作者： Al-Tawhid, Athby H. Sun, Rui Comstock, Andrew H. Kumah, Divine P. Sun, Dali Ahadi, Kaveh Department of Materials Science and Engineering North Carolina State University RaleighNC27695 United States Department of Physics North Carolina State University RaleighNC27695 United States Department of Physics Duke University DurhamNC27701 United States Department of Electrical and Computer Engineering The Ohio State University ColumbusOH43210 United States Department of Materials Science and Engineering The Ohio State University ColumbusOH43210 United States

Rashba spin-orbit coupling locks the spin with momentum of charge carriers at the broken inversion interfaces, which could generate a large spin galvanic response. Here, we demonstrate spin-to-charge conversion (inverse Rashba-Edelstein effect) in KTaO3(111) two-dimensional electron systems. We explain the results in the context of electronic structure, orbital character, and spin texture at the KTaO3(111) interfaces. We also show that the angle dependence of the spin-to-charge conversion on in-plane magnetic field exhibits a nontrivial behavior which matches the symmetry of the Fermi states. Results point to opportunities to use spin-to-charge conversion as a tool to investigate the electronic structure and spin texture. © 2025, CC BY.

关键词： Spin orbit coupling

Optimization of Basic 25 Gb/s TDM-PON for New Era Application 2

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Optimization of Basic 25 Gb/s TDM-PON for New Era Applicatio...

2nd IEEE International Maghreb Meeting of the Conference on Sciences and Techniques of Automatic Control and computer engineering, MI-STA 2022

作者： Feituri, Ahmed B Abdullah, M.F.L. Swedan, Abdulhameed Almabrok Shaddad, Redhwan Q Suliman, Hager A Universiti Tun Hussen Onn Malaysia Faculty of Electrical and Electronic Engineering Batu Pahat Malaysia Applied Research and Development Authority Electronic and Communication Research Center Tripoli Libya Information Technology Taiz University Faculty of Engineering and Information Technology Taiz Yemen University of Misurata Department of Computer Science Misurata Libya

ISBN: (数字)9781665479189

ISBN: (纸本)9781665479189

High data rates over a single wavelength are required to meet and satisfy customer requirements for various new telecommunication applications. Therefore, encourage the full-service access network (FSAN) to choose a Time and Wavelength Division Multiplexing-Passive Optical Network (TWDM-PON) structure as a competitive candidate to upgrade the PON system data rate. IEEE and (ITU-T) announced single and multiple channels of the 25 G-EPON standards either by building a single line of the 50 Gb/s TDM-PON system or two lines of the 25 Gb/s TDM-PON. In addition, the Multi-Source Agreement (MSA) group adopted a single line of 25 GS-PON standards. Thus, deep research work is needed to evaluate these upgrades. The present investigation aims to configure and utilize the basic scheme of the 4×25 Gb/s TWDM-PON system for downstream signals to reach the 100 Gb/s PON capacity system. The progress of the method has been achievable due to the *** package. The software provides an excellent infrastructure to test and analyze the overall model performance. The wavelength plan from the C-band to the O-band is applied to mitigate chromatic dispersion (CD) and improve the received signals. The system distance reaches 23 km at a maximum of 128 end-users/wavelength. An opened eye diagram and acceptable BER and a Q factor values are obtained to investigate transmission quality. As a result, the outcomes of downstream signals are reasonable. Nevertheless, the optical reach is limited to 23 km at a 1:128 split ratio, so the split ratio of 1 to 256 users/ at a 20 km distance is our future work. © 2022 IEEE.

关键词： Passive optical networks

Optimizing Battery Management Systems For Electric Vehicles: Current Trends And Future Directions

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Optimizing Battery Management Systems For Electric Vehicles:...

Global Conference for Advancement in Technology (GCAT)

作者： V.S.Prakash Annamalai Muthu B. Anandan V. Velmurugan T. Alex Stanley Raja Purushothaman V Department of Computer Science Kristu Jayanti College Bengaluru Electrical Section Engineering Department University of Technology and Applied Science Nizwa Oman Department of Mechanical Engineering Siddharth Institute of Engineering & Technology Puttur Andhrapradesh Department of ECE Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Avadi Chennai Tamil Nadu India Department of Electrical and Electronics Engineering Assistant Professor Level III Bannari Amman Institute of Technology Sathyamangalam Department of Electronics and Communication Engineering Chennai Institute of Technology Chennai

ISBN: (数字)9798350376685

ISBN: (纸本)9798350376692

The rapid global shift towards electric vehicles (EVs) marks a transformative era in transportation, driven by the imperative to reduce carbon emissions and reliance on fossil fuels. Central to the performance and longevity of EVs are Battery Management Systems (BMS), which optimize battery usage, enhance safety, and extend operational life. This comprehensive review explores current trends and future directions in BMS optimization, focusing on key technological advancements and their implications for electric mobility. Battery Management Systems (BMS) serve as critical components in electric vehicles, orchestrating the efficient operation of battery packs through real-time monitoring, state-of-charge (SoC) estimation, thermal management, and fault diagnosis. These systems not only ensure optimal performance but also safeguard against potential hazards, thereby enhancing vehicle reliability and user confidence. Current advancements in BMS technology emphasize enhanced accuracy in SoC estimation, leveraging sophisticated algorithms and sensor integration to provide precise information on battery charge levels. Coupled with innovative thermal management strategies, which include active cooling and heating systems, BMS can mitigate thermal stress and optimize battery performance across diverse environmental conditions. By synthesizing technological advancements, emerging trends, and potential challenges, it offers valuable insights for researchers, engineers, and policymakers aiming to advance the efficiency, reliability, and sustainability of electric mobility solutions worldwide.

关键词： Technological innovation Electric potential Battery management systems Estimation Electric vehicles Thermal management Market research Sustainable development Thermal stresses Optimization

Microwave-Induced Cooling in Double Quantum Dots: Achieving Millikelvin Temperatures to Reduce Thermal Noise around Spin Qubits

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arXiv 2024年

作者： Vashaee, Daryoosh Abouie, Jahanfar Department of Materials Science & Engineering North Carolina State University RaleighNC27606 United States Department of Electrical & Computer Engineering North Carolina State University RaleighNC27606 United States Department of Physics Institute for Advanced Studies in Basic Sciences Zanjan45137-66731 Iran

Spin qubits in gate-defined quantum dots are emerging as a leading technology due to their scalability and long coherence times. However, maintaining these qubits at ultra-low temperatures typically requires complex cryogenic systems. This paper proposes a novel gate-defined double quantum dot (DQD) cooling system using microwave-induced state depopulation and phonon filtering to achieve local temperatures below 10 mK at a bath temperature of 1 K. The system utilizes microwave-induced state depopulation and phonon filtering, combined with fast cyclic detuning of the quantum dot on-site energies and Rabi oscillations, to efficiently transfer thermal populations to the ground state, thereby surpassing natural thermal transition rates. The cooling cycle involves adjusting gate potentials to drive the system through adiabatic and diabatic transitions, complemented by microwave pulses resonant with specific energy level differences. This mechanism continuously pumps population from excited states into the ground state, effectively reducing the system's temperature. Numerical calculations demonstrate the feasibility of achieving these low local temperatures, with detailed analysis showing the sensitivity of cooling performance to detuning energy, magnetic field strength, and diabatic return time. Copyright © 2024, The Authors. All rights reserved.

关键词： Semiconductor quantum dots

Utilization of Machine Learning in Breast Cancer Detection

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Utilization of Machine Learning in Breast Cancer Detection

Information Technology (ACIT)

作者： Mutaz Momani Nidal Yousef Qotadeh Aljawazneh A.T Issa Suhaila Abuowaida Raed Alazaidah Mohammed Talat Khouj Radwan Batyha Esraa Abu Elsoud Department of Computer Science Faculty of Information Technology Zarqa University Zarqa Jordan Department of Computer Science Faculty of Information Technology Al-Albayt University Mafraq Jordan Department of Data Science and AI Faculty of Information Technology Zarqa University Zarqa Jordan Department of Electrical Engineering University of Business and Technology Jeddah Saudi Arabia Department of Computer Science Faculty of IT Applied Science Private University Amman Jordan

ISBN: (数字)9798331540012

ISBN: (纸本)9798331540029

Breast cancer is the most prevalent cancer among women and can be deadly, necessitating early detection to enhance patient outcomes and treatment effectiveness. Recently, Machine Learning (ML) techniques have shown potential in medical diagnostics, especially in breast cancer screening. ML algorithms examine extensive medical databases, including patient records, to identify subtle patterns and anomalies indicative of cancer. These algorithms excel at recognizing intricate patterns that may be missed by human analysis. Thereby, increasing the precision of breast cancer diagnoses. By evaluating and analyzing medical data, ML algorithms can detect minute anomalies, facilitating early identification of potential cancer cases. A significant advantage of ML-based breast cancer detection is its capacity for continuous learning and adaptation. In this study, we utilized 34 classifiers and five feature selection methods on three datasets. The first dataset comprises 286 instances with 10 integer-type features. The second dataset includes 699 instances with 10 integer-type features, and the third dataset consists of 286 instances with 13 integer-type features. For Dataset 1, Filtered Classifier and J-48 yielded the best results, while the Bayesnet classifier performed best on Dataset 2. In Dataset 3, SimpleLogistic and LMT achieved the best outcomes. Regarding feature selection, the study showed that the GainRatioAttributeEval, InfoGainAttributeEval, and CorrelationAttributeEval techniques are the best among the feature selection methods tested in the study.

关键词： Machine learning algorithms Databases Machine learning Feature extraction Breast cancer Pattern recognition Classification algorithms Medical diagnosis Information technology Medical diagnostic imaging

Compact unary coding for bosonic states as efficient as conventional binary encoding for fermionic states

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Physical Review B 2022年第12期105卷 L121116-L121116页

作者： Hatem Barghathi Caleb Usadi Micah Beck Adrian Del Maestro Department of Physics and Astronomy University of Tennessee Knoxville Tennessee 37996 USA Department of Physics University of Vermont Burlington Vermont 05405 USA Min H. Kao Department of Electrical Engineering and Computer Science University of Tennessee Knoxville Tennessee 37996 USA

We introduce a unary coding of bosonic occupation states based on the famous balls and walls counting for the number of configurations of N indistinguishable particles on L distinguishable sites. Each state is represented by an integer with a human readable bit string that has a compositional structure allowing for the efficient application of operators that locally modify the number of bosons. By exploiting translational and inversion symmetries, we identify a speedup factor of order L over current methods when generating the basis states of bosonic lattice models. The unary coding is applied to a one-dimensional Bose-Hubbard Hamiltonian with up to L=N=20, and the time needed to generate the ground-state block is reduced to a fraction of the diagonalization time. For the ground state symmetry resolved entanglement, we demonstrate that variational approaches restricting the local bosonic Hilbert space could result in an error that scales with system size.

关键词： Entanglement entropy Quantum entanglement Bose-Hubbard model Computational complexity Exact diagonalization Exact solutions for many-body systems Hubbard model

In vivo Detection of NO using Photonic Microring Resonators

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In vivo Detection of NO using Photonic Microring Resonators

Conference on Lasers and Electro-Optics (CLEO)

作者： Sakib Hassan Xuan Zhao Christian C. Schreib Guillaume Duret Omid Veiseh Jacob T. Robinson Electrical & Computer Engineering Rice University Houston USA Applied Physics Graduate Program Smalley-Curl Institute Rice University Houston USA Department of Bioengineering Rice University Houston USA

Here we show how photonic microring resonators enable real-time detection of Nitric Oxide (NO) in vivo, which is critical for physiological monitoring particularly during the wound healing process.

ISBN: (数字)9781957171050

ISBN: (纸本)9781665466660

Here we show how photonic microring resonators enable real-time detection of Nitric Oxide (NO) in vivo, which is critical for physiological monitoring particularly during the wound healing process.

关键词： Integrated optics In vivo Optical resonators Wounds Laser modes Lab-on-a-chip Real-time systems

Cavity Soliton-Induced Topological Edge States

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arXiv 2023年

作者： Leefmans, Christian R. Englebert, Nicolas Williams, James Gray, Robert M. Goldman, Nathan Gorza, Simon-Pierre Leo, François Marandi, Alireza Department of Applied Physics California Institute of Technology PasadenaCA91125 United States Brussels Belgium Department of Electrical Engineering California Institute of Technology PasadenaCA91125 United States Brussels Belgium

Over the past decade, cavity solitons have attracted substantial attention for their rich dynamics and their myriad potential applications. Recently, there has been growing interest in understanding cavity solitons in systems of coupled resonators, where both new physics and applications can emerge. While numerous works have theoretically studied the interplay between cavity solitons and lattice topology, experimental demonstrations of cavity solitons in topological lattices remain elusive. Here, we experimentally realize cavity solitons in a Su-Schrieffer-Heeger (SSH) lattice and illustrate that the synergy between topology and soliton formation dynamics can induce soliton formation at the boundaries of a topological SSH lattice. Our work illustrates the rich physics of cavity solitons in topological lattices and demonstrates a flexible approach to study solitons in large-scale coupled resonator arrays. Copyright © 2023, The Authors. All rights reserved.

关键词： Solitons