Multiscale topology optimization using neural network surrogate models
Multiscale topology optimization using neural network surrogate models is a scholarly work, published in 2019 in ''Computer Methods in Applied Mechanics and Engineering''. The main subjects of the publication include functionally graded material, finite element method, metamaterial, surrogate model, optimization problem, microscale chemistry, topology optimization, electronic circuit topology, Gaussian, artificial neural network, mathematical optimization, nonlinear system, sensitivity, and computer science. The authors are concerned with optimization of macroscale elastic structures that are designed utilizing spatially varying microscale metamaterials.