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    Estimating Radiation Scattering Around Plasmonic Nanowires Using Engineered Geometric Features 

    Source: Journal of Solar Energy Engineering:;2022:;volume( 145 ):;issue: 003:;page 31008-1
    Author(s): Kaya, Mine; Hajimirza, Shima
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This study offers an analytical estimation model for radiative scattering at nanoscale. The study focuses on isolated nanowires of arbitrary shape cross sections and uses predictive geometric features and statistical ...
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    Enhancing Computational Efficiency in Porous Media Analysis: Integrating Machine Learning With Monte Carlo Ray Tracing 

    Source: Journal of Thermal Science and Engineering Applications:;2024:;volume( 016 ):;issue: 010:;page 101003-1
    Author(s): Tabassum, Farhin; Hajimirza, Shima
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Monte Carlo ray tracing (MCRT) is a prevalent and reliable computation method for simulating light-matter interactions in porous media. However, modeling these interactions becomes computationally expensive due to complex ...
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    Statistical Analysis of Surface Nanopatterned Thin Film Solar Cells Obtained by Inverse Optimization 

    Source: Journal of Heat Transfer:;2013:;volume( 135 ):;issue: 009:;page 91501
    Author(s): Hajimirza, Shima; Howell, John R.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This work is a statistical study of the broadband light absorption in thin film solar cells, enhanced by metallic surface nanotexturing. We consider optimum grating structures on the surface of amorphous silicon solar cells ...
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    A Comparative Analysis of Artificial Neural Networks for Photovoltaic Power Forecast Using Remotes and Local Measurements 

    Source: Journal of Solar Energy Engineering:;2021:;volume( 144 ):;issue: 002:;page 21007-1
    Author(s): Lopes, Sofia M. A.; Cari, Elmer P. T.; Hajimirza, Shima
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The inclusion of photovoltaic systems in distribution networks has raised the importance of the prediction of photovoltaic power for safe planning and operation. Artificial neural networks (ANNs) have been used in this ...
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    Inverse Methods in Thermal Radiation Analysis and Experiment 

    Source: ASME Journal of Heat and Mass Transfer:;2023:;volume( 145 ):;issue: 005:;page 50801-1
    Author(s): Ertürk, Hakan; Daun, Kyle; França, Francis H. R.; Hajimirza, Shima; Howell, John R.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Most thermal radiation problems are analyzed in a “forward” manner, in which the aim is to predict the response of a system based on well-defined boundary conditions. In practice, however, many thermal radiation problems ...
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