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    Reliability-Based Design Optimization of Additive Manufacturing for Lithium Battery Silicon Anode 

    Source: ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg:;2024:;volume( 010 ):;issue: 003:;page 31104-1
    Author(s): Liu, Zheng; Wu, Hao; Wang, Pingfeng; Li, Yumeng
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: With the blooming of the electric vehicle market and the advancement in the lithium-ion battery industry, silicon anode has shown great potential for the next-generation battery. Using the state-of-the-art additive ...
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    Uncertainty Quantification of Additively Manufactured Architected Cellular Materials for Energy Absorption Applications 

    Source: ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg:;2024:;volume( 011 ):;issue: 003:;page 31204-1
    Author(s): Liu, Zheng; Xu, Yanwen; Jiang, Yuan; Renteria, Anabel; Bansal, Parth; Xu, Chenlong; Wang, Pingfeng; Li, Yumeng
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: With advances in additive manufacturing (AM), the technology has significantly increased the applications in a wide range of industrial sectors. For example, stereolithography (SLA) has become a promising candidate for the ...
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    Multi-Task Learning for Design Under Uncertainty With Multi-Fidelity Partially Observed Information 

    Source: Journal of Mechanical Design:;2024:;volume( 146 ):;issue: 008:;page 81704-1
    Author(s): Xu, Yanwen; Wu, Hao; Liu, Zheng; Wang, Pingfeng; Li, Yumeng
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The assessment of system performance and identification of failure mechanisms in complex engineering systems often requires the use of computation-intensive finite element software or physical experiments, which are both ...
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