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    Dual-Objective Mechanobiological Growth Optimization for Heterogenous Lattice Structures 

    Source: Journal of Mechanical Design:;2023:;volume( 146 ):;issue: 007:;page 72001-1
    Author(s): Arefin, Amit M. E.; Egan, Paul F.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Computational design is growing in necessity for advancing biomedical technologies, particularly for complex systems with numerous trade-offs. For instance, in tissue scaffolds constructed from repeating unit cells, the ...
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    Design of Hierarchical Three-Dimensional Printed Scaffolds Considering Mechanical and Biological Factors for Bone Tissue Engineering 

    Source: Journal of Mechanical Design:;2017:;volume( 139 ):;issue: 006:;page 61401
    Author(s): Egan, Paul F.; Ferguson, Stephen J.; Shea, Kristina
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Computational approaches have great potential for aiding clinical product development by finding promising candidate designs prior to expensive testing and clinical trials. Here, an approach for designing multilevel bone ...
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    Mechanics of Three-Dimensional Printed Lattices for Biomedical Devices 

    Source: Journal of Mechanical Design:;2019:;volume( 141 ):;issue: 003:;page 31703
    Author(s): Egan, Paul F.; Bauer, Isabella; Shea, Kristina; Ferguson, Stephen J.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Advances in three-dimensional (3D) printing are enabling the design and fabrication of tailored lattices with high mechanical efficiency. Here, we focus on conducting experiments to mechanically characterize lattice ...
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    Design of Complex Biologically Based Nanoscale Systems Using Multi Agent Simulations and Structure–Behavior–Function Representations 

    Source: Journal of Mechanical Design:;2013:;volume( 135 ):;issue: 006:;page 61005
    Author(s): Egan, Paul F.; Cagan, Jonathan; Schunn, Christian; LeDuc, Philip R.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The process of designing integrated biological systems across scales is difficult, with challenges arising from the modeling, understanding, and search of complex system design spaces. This paper explores these challenges ...
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