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arXiv 2025年

作者： Wang, Jie Kim, Hyungsub Kim, Ji-Wook Seo, HyeongJoo Ota, Satoshi You, Chun-Yeol Takemura, Yasushi Bae, Seongtae Department of Electrical Engineering University of South Carolina ColumbiaSC29208 United States Department of Emerging Materials Science Daegu Gyeongbuk Institute of Science & Technology Daegu42988 Korea Republic of Department of Electrical and Electronic Engineering Shizuoka University Hamamatsu432-8561 Japan Department of Electrical and Computer Engineering Yokohama National University Yokohama240-8501 Japan

Magnetic core/shell nanoparticles are promising candidates for magnetic hyperthermia due to its high AC magnetic heat induction (specific loss power (SLP)). It’s widely accepted that magnetic exchange-coupling between core and shell plays the crucial role in enhancing SLP of magnetic core/shell nanoparticles. However, the physical contribution of exchange coupling to SLP has not been systematically investigated, and the underlying mechanism remains unclear. In this study, magnetic hard/soft CoFe2O4/MnFe2O4 and inverted soft/hard MnFe2O4/CoFe2O4 core/shell nanoparticles were synthesized, systematically varying the number of shell layers, to investigate the physical contribution of internal bias coupling at the core/shell interface to AC heat induction (SLP). Our results show that a unique magnetic property, double-hysteresis loop, was present and clearly observed, which was never reported in previous core/shell research literature. According to the experimentally and theoretically analyzed results, the double-hysteresis behavior in core/shell nanoparticles was caused by the difference of magnetic anisotropy between core and shell materials, separated by a non-magnetic interface. The enhanced SLP and and maximum temperature rise (TAC,max) of core/shell nanoparticles are attributed to the optimized magnetic anositropy, AC magnetic softness and double hysteresis behavior due to the internal bias coupling. These results demonstrate that the rational design capabilities to separately control the magnetic anisotropy, AC/DC magnetic properties by varying the volume ration between core and shell and by switching hard or soft phase materials between core and shell are effective modalities to enhance the AC heat induction of core/shell nanoparticles for magnetic nanoparticle hyperthermia. Copyright © 2025, The Authors. All rights reserved.

关键词： Magnetic anisotropy

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AWS: GNNs that Aggregate with Self-node Representation for Dehydrogenation Enthalpy Prediction 15th

AWS: GNNs that Aggregate with Self-node Representation for...

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15th International scientific conferences on research and applications in the field of intelligent information and database systems, ACIIDS 2023

作者： Choi, Geonyeong Yook, Hyunwoo Han, Jeong Woo Hong, Charmgil Department of Computer Science and Electrical Engineering Handong Global University Pohang Korea Republic of Department of Materials Science and Engineering Seoul National University Seoul Korea Republic of

ISBN: (纸本)9783031424298

Although hydrogen is an ideal energy carrier, storing and transporting it in gas or liquid form is unsafe and inefficient. Liquid Organic Hydrogen Carriers (LOHC) are promising compounds that can efficiently accommodate hydrogen. However, choosing the optimal LOHC from millions of candidates is difficult because calculating dehydrogenation enthalpy, a key criterion, is computationally expensive. To address this, we propose a new graph neural network-based method called Aggregate With Self-node representation (AWS) that efficiently and accurately predicts dehydrogenation enthalpy. We improve existing graph neural networks and address cases where expressiveness is limited. We also present an ensemble scheme for weighting prediction results. Our experiments on real-world LOHC screening and benchmark datasets demonstrate the superiority of our method in chemical property predictions. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Dehydrogenation

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Utilizing Machine Learning Algorithms in Conjunction with Terahertz Spectra for Enhanced Plastic Sorting Efficiency

Utilizing Machine Learning Algorithms in Conjunction with Te...

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International Conference on Infrared and Millimeter Waves

作者： Nan Zhang Lim Zi Xi Josie Phua Wei Ji Anor Technologies Pte Ltd Singapore Institute of Materials Research and Engineering Agency for Science Technology and Research Singapore Department of Electrical and Computer Engineering National University of Singapore Singapore

ISBN: (数字)9798350370324

ISBN: (纸本)9798350370331

The imperative of addressing climate change is clear, compounded by inadequate waste management intensifying plastic pollution. Challenges in waste management, such as manual sorting and recycling contamination, contribute to ongoing plastic accumulation. To surmount these hurdles, advanced technologies like terahertz (THz) technology integrated with machine learning algorithms such as Linear Discriminant Analysis (LDA), Principal Component Analysis (PCA), and Support Vector Machine (SVM) are being investigated. This integration demonstrates considerable potential in improving plastic separation and sorting processes, achieving an impressive accuracy of 100%. Such advancements represent a significant stride towards more effective and sustainable solutions in combating plastic pollution and revolutionizing waste management practices.

关键词： Waste management Support vector machines Machine learning algorithms Manuals Recycling Linear discriminant analysis Contamination Sorting Principal component analysis Plastic waste

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Stretchable Textile Bands for Ambulatory Electrocardiogram and Oximetry

IEEE Journal on Flexible Electronics

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IEEE Journal on Flexible Electronics 2022年第4期1卷 214-222页

作者： Liu, Jiaxi Le, Thy Sadatian, Ellie Yao, Lulu Garudadri, Harinath Dunphy, Stephen A. McClung, Christian Ng, Tse Nga University of California at San Diego Department of Electrical and Computer Engineering La Jolla CA92093 United States University of California at San Diego Materials Science and Engineering Program La Jolla CA92093 United States Qualcomm Institute University of California at San Diego La Jolla CA92093 United States Cb Innovations Llc Rancho Santa FeCA92067 United States

This work presents a vital sign monitoring interface combining electrocardiogram (ECG) and reflective photoplethysmography (PPG) acquisition on stretchable kinesiology tapes (KTs). The integrated textile bands are less prone to electrode misplacement and deliver high-quality diagnostic ECG signals with dry electrodes. The reflective PPG measured over the subclavian artery is used to track blood oxygen saturation, and in combination with ECG, enables the determination of pulse transit time and inference of blood pressure. This multimodal interface improves clinical workflows because it is easy to don, reduces motion artifacts, and facilitates more efficient and accurate diagnosis in emergency settings. © 2022 IEEE.

关键词： Electrocardiograms

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Deep Reinforcement Learning-Based LSTM Model for Traffic Flow Forecasting in Internet of Vehicles

Deep Reinforcement Learning-Based LSTM Model for Traffic Flo...

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Chinese Intelligent Automation Conference, CIAC 2021

作者： Chen, Zekuan Luo, Xiong Wang, Ting Wang, Weiping Zhao, Wenbing School of Computer and Communication Engineering University of Science and Technology Beijing Beijing100083 China Beijing Key Laboratory of Knowledge Engineering for Materials Science Beijing100083 China Shunde Graduate School University of Science and Technology Beijing Foshan528399 China Department of Electrical Engineering and Computer Science Cleveland State University ClevelandOH44115 United States

ISBN: (纸本)9789811663710

Nowadays many large cities often suffer from road congestion. Then, it is necessary to improve the working efficiency of urban road network with the help of computational intelligence technologies, within the Internet of vehicles (IoV) environment. We are committed to designing traffic flow prediction methods through the use of machine learning models. In this paper, we predict the traffic flow and traffic situation of the selected road segment. Specifically, we propose a deep reinforcement learning (DRL)-based long short-term memory (LSTM) model to predict the traffic flow. On the basis of it, we characterize the traffic situation with fuzzy comprehensive evaluation (FCE)-based model. The experimental results show that the constructed DRL-based LSTM model can accurately predict the traffic flow data. Meanwhile, the traffic situation characterization model can represent the road traffic situation well. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Reinforcement learning

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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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Continuum Modeling and Optimization of Group-V Doping in CdSex Te1-x

Continuum Modeling and Optimization of Group-V Doping in CdS...

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IEEE Conference Photovoltaic Specialists (PVSC)

作者： Xiaofeng Xiang Aaron Gehrke Yijun Tong Scott T. Dunham Molecular Engineering & Sciences Institute University of Washington Seattle WA USA Department of Materials Science & Engineering University of Washington Seattle WA USA Department of Electrical & Computer Engineering University of Washington Seattle WA USA

ISBN: (数字)9781665464260

ISBN: (纸本)9781665475822

CdTe and its alloy CdSeTe are widely used in optoelectronic devices, such as radiation detectors and solar cells, due to their superior electrical properties. However, the formation of point defects and defect complexes in these materials can significantly affect their performance. As a result, understanding the point defect formation and interaction processes in CdTe and CdSeTe alloy is of great importance. In recent years, density functional theory (DFT) calculations have emerged as a powerful tool for investigating the properties of defects in semiconductors. In this paper, we use the results of DFT+U calculations and continuum model to understand and optimize As and P dopability in CdSeTe alloy.

关键词： Performance evaluation Semiconductor device modeling II-VI semiconductor materials Cooling Radiation detectors Metals Charge carrier density Doping Semiconductor process modeling Cadmium compounds

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Micromolded honeycomb scaffold design to support the generation of a bilayered RPE and photoreceptor cell construct

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Bioactive materials 2023年第12期30卷 142-153页

作者： In-Kyu Lee Ruosen Xie Agustin Luz-Madrigal Seunghwan Min Jingcheng Zhu Jiahe Jin Kimberly L.Edwards M.Joseph Phillips Allison L.Ludwig David M.Gamm Shaoqin Gong Zhenqiang Ma Department of Electrical and Computer Engineering University of Wisconsin-MadisonMadisonWI53706USA Wisconsin Institute for Discovery University of Wisconsin-MadisonMadisonWI53715USA Department of Ophthalmology and Visual Sciences University of Wisconsin-MadisonMadisonWI53705USA Department of Biomedical Engineering University of Wisconsin-MadisonMadisonWI53706USA McPherson Eye Research Institute University of Wisconsin-MadisonMadisonWI53705USA Waisman Center University of Wisconsin-MadisonMadisonWI53705USA Department of Comparative Biomedical Sciences University of Wisconsin–MadisonMadisonWI53706USA Department of Materials Science and Engineering University of Wisconsin-MadisonMadisonWI53706USA Department of Engineering Physics University of Wisconsin-MadisonMadisonWI53706USA Grainger Institute for Engineering University of Wisconsin-MadisonMadisonWI53706USA

Age-related macular degeneration(AMD)causes blindness due to loss of retinal pigment epithelium(RPE)and photoreceptors(PRs),which comprise the two outermost layers of the *** the small size of the macula and the importance of direct contact between RPE and PRs,the use of scaffolds for targeted reconstruction of the outer retina in later stage AMD and other macular dystrophies is particularly *** developed microfabricated,honeycomb-patterned,biodegradable poly(glycerol sebacate)(PGS)scaffolds to deliver organized,adjacent layers of RPE and PRs to the subretinal ***,an optimized process was developed to photocure PGS,shortening scaffold production time from days to *** resulting scaffolds robustly supported the seeding of human pluripotent stem cell-derived RPE and PRs,either separately or as a dual celllayered *** advanced,economical,and versatile scaffolds can accelerate retinal cell transplantation efforts and benefit patients with AMD and other retinal degenerative diseases.

关键词： Microfabrication Retina Scaffolds Stem cells Tissue engineering

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Absence of Weyl nodes in EuCd2As2 revealed by the carrier density dependence of the anomalous Hall effect

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Physical Review B 2024年第12期109卷 125202-125202页

作者： Yue Shi Zhaoyu Liu Logan A. Burnett Seokhyeong Lee Chaowei Hu Qianni Jiang Jiaqi Cai Xiaodong Xu Mo Li Cheng-Chien Chen Jiun-Haw Chu Department of Physics University of Washington Seattle Washington 98195 USA Department of Materials Science and Engineering University of Washington Seattle Washington 98195 USA Department of Physics University of Alabama at Birmingham Birmingham Alabama 35294 USA Department of Electrical and Computer Engineering University of Washington Seattle Washington 98195 USA

The antiferromagnetic layered compound EuCd2As2 is widely considered a leading candidate of ideal Weyl semimetals, featuring a single pair of Weyl nodes in its field-induced ferromagnetic state. Nevertheless, this view was recently challenged by an optical spectroscopy study, which suggested that it is a magnetic semiconductor. In this study, we successfully synthesized highly insulating EuCd2As2 crystals with carrier density reaching as low as 2×1015cm−3. The magnetotransport measurements revealed a progressive decrease of the anomalous Hall conductivity (AHC) by several orders of magnitude as the carrier density decreases. This behavior contradicts what is expected from the intrinsic AHC generated by the Weyl points, which is independent of carrier density as the Fermi level approaches the charge neutrality point. In contrast, the scaling relationship between AHC and longitudinal conductivity aligns with the characteristics of variable-range hopping insulators. Our results suggest that EuCd2As2 is a magnetic semiconductor rather than a topological Weyl semimetal.

关键词： Anomalous Hall effect Magnetotransport Topological materials Pnictides Weyl semimetal Magnetization measurements Resistivity measurements Susceptibility measurements

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Thermodynamics of Sodium-Lead Alloys for Negative Electrodes from First-Principles

arXiv

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arXiv 2024年

作者： Lee, Damien K.J. Deng, Zeyu Gautam, Gopalakrishnan Sai Canepa, Pieremanuele Department of Materials Science and Engineering National University of Singapore 9 Engineering Drive 1 117575 Singapore Department of Materials Engineering Indian Institute of Science Bangalore560012 India Department of Electrical and Computer Engineering HoustonTX77204 United States Texas Center for Superconductivity University of Houston HoustonTX77204 United States

Metals, such as tin, antimony, and lead (Pb) have garnered renewed attention for their potential use as alloyant-negative electrode materials in sodium (Na)-ion batteries (NIBs). Despite Pb’s toxicity and its high molecular weight, lead is one of the most commonly recycled metals, positioning Pb as a promising candidate for a cost-effective, high-capacity anode material. Understanding the miscibility of Na into Pb is crucial for the development of high-energy density negative electrode materials for NIBs. Using a first-principles multiscale approach, we analyze the thermodynamic properties and estimate the Na-alloying voltage of the Na-Pb system by constructing the compositional phase diagram. In the Pb-Na system, we elucidate the phase boundaries of important phases, such as Pb-rich face-centered cubic and β-NaPb3, thereby improving our understanding of the phase diagram of the Na-Pb alloy. Due to the strong ordering tendencies of the Na-Pb intermetallics (such as NaPb, Na5Pb2, and Na15Pb4), we do not observe any solid-solution behavior at intermediate and high Na concentrations. Copyright © 2024, The Authors. All rights reserved.

关键词： Lead alloys

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