We present a numerical simulation on the effect of leakage paths in the regrown GaN layer in the aperture and above the current blocking layer (CBL) of current aperture vertical electron transistor (CAVET) devices. He...
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We present a numerical simulation on the effect of leakage paths in the regrown GaN layer in the aperture and above the current blocking layer (CBL) of current aperture vertical electron transistor (CAVET) devices. Here, a 2D TCAD modeling is employed to simulate a CAVET device structure considering two main origins of parasitic leakage current from CBL/regrown-GaN interface and gate/regrown-GaN bulk and their degree of detrimental effect on the characteristics of AlGaN/GaN CAVETs.
Despite its long history,the anomalous Hall continues to attract attention due to its complex origins,its connection to topology,and its use as a probe of magnetic *** this work we investigate the anomalous Hall effec...
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Despite its long history,the anomalous Hall continues to attract attention due to its complex origins,its connection to topology,and its use as a probe of magnetic *** this work we investigate the anomalous Hall effect in 2871 ferromagnetic materials using an automatic high-throughput calculation *** analyze general properties of the effect,such as its reliance on spin-orbit coupling strength and *** materials with the largest anomalous Hall effect,we find that symmetry-protected band degeneracies in the non-relativistic electronic structure,such as mirror symmetry-protected nodal lines,are typically responsible for the large ***,we examine the dependence of the anomalous Hall effect on magnetization direction and demonstrate deviations from the commonly assumed expression j^(AHE)~M×E.
Terahertz time-domain imaging was performed of stereotactic body radiotherapy-treated murine pancreatic ductal adenocarcinoma (PDAC) with a high spatial resolution. To generate 2D maps of the tissue samples, the refra...
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The cases of dengue hemorrhagic fever (DHF) in Indonesia have increased significantly since 2020. Data shown by the Central Statistics Agency, for example, in South Sumatra Province, there were 6,348 cases of DHF duri...
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This study investigated the electrical properties of AlGaN/GaN high-electron-mobility transistors (HEMTs) with varied recess depths under the gate electrode. We demonstrated a recess depth of approximately 6 nm, which...
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Quantum mechanics has paved the way for establishing shared privacy among communicating parties through a secure regime known as quantum-secured communication. Recent advancements in both theory and experimentation ha...
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Quantum mechanics has paved the way for establishing shared privacy among communicating parties through a secure regime known as quantum-secured communication. Recent advancements in both theory and experimentation have unveiled the potential of quantum resources in enhancing the performance and security of estimating unknown parameters. This has led to the emergence of a novel paradigm known as quantum-secured covert sensing, wherein the sensing operation is concealed from an adversary monitoring the environment by embedding the probe signal in a bright noise background. The performance and security of such protocols are quantified using quantum measurement theory. While previous investigations into quantum-secured covert sensing primarily focused on proof-of-concept phase estimation problems, this paper presents a pioneering quantum-secured covert sensing system designed for the Doppler effect—a versatile estimation problem with broad applications. Our research uncovers an inherent trade-off among measurement precision, security, and range within the system. This work establishes a new avenue for incorporating physical-layer security into sensing systems, thereby opening up exciting possibilities for future research in this field.
We present a silicon-photonic tensor core using 2D ferroelectric materials to enable wavelength- and polarization-domain computing. Results, based on experimentally characterized material properties, show up to 83% im...
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This study presents a deep learning framework optimizing 3D clothing models for VR, using a CNN to significantly reduce the triangle count of models from DeepFashion3D and CAP-UDF datasets. Achieving a balance between...
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ISBN:
(数字)9798350386844
ISBN:
(纸本)9798350386851
This study presents a deep learning framework optimizing 3D clothing models for VR, using a CNN to significantly reduce the triangle count of models from DeepFashion3D and CAP-UDF datasets. Achieving a balance between efficiency and detail, it cuts triangle count from over 160,000 to below 4,000, maintaining high DPI. The approach automates optimization, promising scalability and efficiency in VR fashion, setting a foundation for future 3D content development, enhancing virtual garment realism and interactivity.
Wide field-of-view(FOV)optics are essential components in many optical systems,with applications spanning imaging,display,sensing,and beam *** refractive wide FOV optics often involve multiple stacked lenses,resulting...
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Wide field-of-view(FOV)optics are essential components in many optical systems,with applications spanning imaging,display,sensing,and beam *** refractive wide FOV optics often involve multiple stacked lenses,resulting in large size and weight as well as high *** lenses or metalenses promise a viable solution to realizing wide FOV optics without complex lens *** review the various architectures of wide FOV metalenses,elucidate their fundamental operating principles and design trade-offs,and quantitatively evaluate and contrast their imaging *** applications enabled by wide FOV metasurface optics are also discussed.
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