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    A Computational Model of Bio-Inspired Soft Network Materials for Analyzing Their Anisotropic Mechanical Properties 

    Source: Journal of Applied Mechanics:;2018:;volume( 085 ):;issue: 007:;page 71002
    Author(s): Zhang, Enrui; Liu, Yuan; Zhang, Yihui
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Soft network materials constructed with horseshoe microstructures represent a class of bio-inspired synthetic materials that can be tailored precisely to match the nonlinear, J-shaped, stress–strain curves of human skins. ...
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    Recent Advances and Applications of Machine Learning in Experimental Solid Mechanics: A Review 

    Source: Applied Mechanics Reviews:;2023:;volume( 075 ):;issue: 006:;page 61001-1
    Author(s): Jin, Hanxun; Zhang, Enrui; Espinosa, Horacio D.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: For many decades, experimental solid mechanics has played a crucial role in characterizing and understanding the mechanical properties of natural and novel artificial materials. Recent advances in machine learning (ML) ...
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