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  1. No Access

    Article

    An adaptive and scalable artificial neural network-based model-order-reduction method for large-scale topology optimization designs

    Topology optimization (TO) provides a systematic approach for obtaining structure design with optimum performance of interest. However, the process requires the numerical evaluation of the objective function a...

    Ren Kai Tan, Chao Qian, Kangjie Li, Dan Xu… in Structural and Multidisciplinary Optimizat… (2022)

  2. No Access

    Article

    An efficient data generation method for ANN-based surrogate models

    Rapid development in deep learning methods has brought about wide applications of artificial-neural-network (ANN)-based surrogate models in the field of numerical simulation. Given sufficient training, ANN-bas...

    Ren Kai Tan, Chao Qian, Michael Wang… in Structural and Multidisciplinary Optimizat… (2022)

  3. No Access

    Article

    A deep learning–based method for the design of microstructural materials

    Due to their designable properties, microstructural materials have emerged as an important class of materials that have the potential for used in a variety of applications. The design of such materials is chal...

    Ren Kai Tan, Nevin L. Zhang, Wen**g Ye in Structural and Multidisciplinary Optimization (2020)