… They used a surrogate model-based optimization to reduce … , for designing stiffener layout
patterns for plate structures. Ji, … to design optimal stiffener layout for plate and shell structures …

… to accelerate the simulation process of composite structures by making predictions using a
data-… Multiple machine learning methods are applied to predict the displacement field of a 2D …

… -resistant design optimization of reinforced concrete structures, the objective function is to
reduce the cost or weight of the structure … The acceleration coefficients c 1 and c 2 , and c 3 are …

… acceleration of TO, classify such works in terms of methods of computational acceleration …
Moreover, paper will try to answer to the following questions: Which numerical acceleration …

… the whole architectural design space is not efficient … design architectured ceramics
using machine learning (ML), trained by finite element analysis data and together with a self-learning …

… , and optimization process. After that, we show the machine learning results and the optimized
designs of the interlocking tabs for different optimization objectives. Finally, we fabricate …

… an inversed design approach using fully connected neural networks and an optimized shape
… Then we discuss the input training data creation for the machine learning model and the …

… implemented for solving topology optimization problems. Solving … , machine learning (ML)
and specifically deep neural computing are integrated in order to accelerate the optimization …

… machine learning technique called active learning is used in this paper to accelerate the
evolutionary optimization … implementation of EAs for engineering design optimization. The …

… for property prediction, property optimization, and chemical … in this thriving field of machine
learning for material science. We … to speed up discovery and derive material design strategies. …