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  • AIP Publishing  (5)
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  • AIP Publishing  (5)
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  • 1
    Online Resource
    Online Resource
    High sensitivity HgTe room temperature terahertz photodetector
    AIP Publishing ; 2023
    In:  APL Photonics Vol. 8, No. 4 ( 2023-04-01)
    Details
    In: APL Photonics, AIP Publishing, Vol. 8, No. 4 ( 2023-04-01)
    Abstract: The advent of topological semi-metals with peculiar band structure and exotic quantum-transport provides novel pathways for upgrading the performance of terahertz (THz) detection. HgTe is among such a candidate with the unique advantages of a negative bandgap, ultra-high mobility, and thermoelectricity, which ignites the possibility of addressing the technical bottlenecks of traditional routes for THz detection. Herein, for the first time, we report large-area (3 in.) growth of high-mobility HgTe thin-film via molecular-beam epitaxial and the implementation of bow-tie antennas based HgTe THz-detector with the abilities of ultrafast response, low noise, and high ambient-stability at room temperature. By exploration of strong light-coupling and superior hot-carrier transport, the bow-tie antenna-based HgTe photodetector can achieve a responsivity of 0.04 A/W and a noise equivalent power of less than 0.6 nW/Hz1/2 at 0.3 THz. Furthermore, the sensitivity can be further improved by nearly an order of magnitude up to 0.36 A/W at 0.3 THz by incorporating a short channel asymmetric cubic resonator. The reported performances allow a realistic exploration of high-mobility bulk states in topological semimetals for large area, fast-imaging applications in the THz band.
    Type of Medium: Online Resource
    ISSN: 2378-0967
    URL: Article
    DOI: 10.1063/5.0144569
    Language: English
    Publisher: AIP Publishing
    Publication Date: 2023
    detail.hit.zdb_id: 2857268-3
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    Online Resource
  • 2
    Online Resource
    Online Resource
    Theoretical model for two-dimensional film cooling effectiveness distribution prediction
    AIP Publishing ; 2022
    In:  Physics of Fluids Vol. 34, No. 2 ( 2022-02-01)
    Details
    In: Physics of Fluids, AIP Publishing, Vol. 34, No. 2 ( 2022-02-01)
    Abstract: Film cooling is commonly categorized as a jet in crossflow phenomenon. Due to its fully three-dimensional flow field, characteristically two-dimensional (2-D) cooling effectiveness distributions are observed on the target wall. A theoretical method for 2-D film cooling effectiveness distribution predictions is developed by modeling the diffusion and convective transportation in the lateral direction. The effective diffusion coefficient is introduced to quantify the combined effects of the turbulent and laminar expansion. The convection effect, mainly the vortex entrainment, is quantified based on the analytical Oseen vortex. The intensity, scale, and location of the kidney vortex are modeled, respectively. The 2-D model in the current study can well satisfy the demand both academically and industrially. The time consumption of a 2-D effectiveness distribution calculation is on the magnitude of 1 ×10−2 s. The prediction error is within 8% if given especially correlated model coefficients, or within 14% otherwise.
    Type of Medium: Online Resource
    ISSN: 1070-6631 , 1089-7666
    URL: Article
    DOI: 10.1063/5.0081694
    Language: English
    Publisher: AIP Publishing
    Publication Date: 2022
    detail.hit.zdb_id: 1472743-2
    detail.hit.zdb_id: 241528-8
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    Online Resource
  • 3
    Online Resource
    Online Resource
    Inversion learning of turbulent thermal diffusion for film cooling
    AIP Publishing ; 2022
    In:  Physics of Fluids Vol. 34, No. 3 ( 2022-03-01)
    Details
    In: Physics of Fluids, AIP Publishing, Vol. 34, No. 3 ( 2022-03-01)
    Abstract: Film cooling is a typical three-dimensional fluid phenomenon, where the coolant with lower temperature is ejected from discrete holes to protect metal walls from being burnt by the hot mainstream. It is a great challenge for Reynolds-averaged Navier–Stokes (RANS) methods to accurately predict the coolant coverage on the wall because the turbulent thermal diffusion tends to be under-predicted due to inherent assumptions behind RANS models. In this paper, a framework of integrated field inversion and machine learning is built to enhance RANS prediction of turbulent thermal diffusion. A neural network (NN) is trained in this framework to predict the spatially varying turbulent Prandtl number (Prt) and to improve the prediction of RANS models. The temperature distribution obtained from the large eddy simulation is used as the learning target, and the discrete adjoint method is used as the inverse model that helps calculate derivatives of mean square error of the temperature distribution to NN parameters. The training process of NN shows good convergence properties. The results show that the obtained NN effectively increases the insufficient turbulent thermal diffusion by predicting much lower Prt than the commonly used value of 0.9. The NN-enhanced RANS provides significant improvements on predicting experimental temperature distributions compared with general RANS models not only on the training data but also on the unseen testing data. In addition, the obtained NN can be implemented into general-purpose software with minimal effort and no numerical stability problem.
    Type of Medium: Online Resource
    ISSN: 1070-6631 , 1089-7666
    URL: Article
    DOI: 10.1063/5.0084237
    Language: English
    Publisher: AIP Publishing
    Publication Date: 2022
    detail.hit.zdb_id: 1472743-2
    detail.hit.zdb_id: 241528-8
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  • 4
    Online Resource
    Online Resource
    Simple integral model for trajectories of jet deflection in crossflow
    AIP Publishing ; 2021
    In:  Physics of Fluids Vol. 33, No. 11 ( 2021-11-01)
    Details
    In: Physics of Fluids, AIP Publishing, Vol. 33, No. 11 ( 2021-11-01)
    Abstract: An integration method is developed based on mass and momentum conservation laws to predict trajectories of transverse jets in crossflow. The dominant mechanisms of jet deflections, namely, the jet ingestion and the drag force, are quantified. The evolution of the jet size is determined by modeling the growth of the counter-rotating vortex pair, bringing closure to the equation set. Results are compared with experimental data at different velocity ratios, density ratios, and turbulence intensity. Good agreements between predicted results and experimental data demonstrate the advantages of the proposed model over the commonly adopted correlation in prediction accuracy and generality.
    Type of Medium: Online Resource
    ISSN: 1070-6631 , 1089-7666
    URL: Article
    DOI: 10.1063/5.0073013
    Language: English
    Publisher: AIP Publishing
    Publication Date: 2021
    detail.hit.zdb_id: 1472743-2
    detail.hit.zdb_id: 241528-8
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  • 5
    Online Resource
    Online Resource
    Design of InAs nanosheet arrays with ultrawide polarization-independent high absorption for infrared photodetection
    AIP Publishing ; 2022
    In:  Applied Physics Letters Vol. 120, No. 7 ( 2022-02-14)
    Details
    In: Applied Physics Letters, AIP Publishing, Vol. 120, No. 7 ( 2022-02-14)
    Abstract: InAs nanowires have been considered as good candidates for infrared photodetection. However, one-dimensional geometry of a nanowire makes it unsuitable for broadband light absorption. In this work, we propose and design InAs nanosheet arrays to achieve polarization-independent, angle-insensitive, and ultrawide infrared absorption. Simulations demonstrate that two-dimensional InAs nanosheets can support multiple resonance modes, thus leading to a strong and broadband absorption from visible light to mid-wave infrared. Moreover, we can tune polarization-dependent property in InAs nanosheets to be polarization-insensitive by forming a nanosheet based clover-like and snowflake-like nanostructures. We further optimized the design of InAs nanosheet arrays based on such structures and achieved high absorption (up to 99.6%) covering a broad wavelength range from 500 to 3200 nm. These absorption properties are much superior to their nanowire and planar film counterparts, making it attractive for infrared photodetection applications. The architecture of such nanostructures can provide a promising route for the development of high-performance room-temperature broadband infrared photodetectors.
    Type of Medium: Online Resource
    ISSN: 0003-6951 , 1077-3118
    URL: Article
    DOI: 10.1063/5.0066507
    RVK:
    UA 1000
    Language: English
    Publisher: AIP Publishing
    Publication Date: 2022
    detail.hit.zdb_id: 211245-0
    detail.hit.zdb_id: 1469436-0
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