Deep learning based surrogate models for rapid prediction of macroscopic properties of heterogeneous materials

ZHANG, Nevin Lianwen (CoI)
YE, Wenjing (PI)

Project: Research

Chinese Project Title

基于深度机器学习的快速及准确异质材料宏观特性的代理模型

Status	Finished
Effective start/end date	1/09/18 → 31/08/21

Design of architectured composite materials with an efficient, adaptive artificial neural network-based generative design method
Qian, C., Tan, R. K. & Ye, W., 15 Feb 2022, In: Acta Materialia. 225, 117548.
Research output: Contribution to journal › Journal Article › peer-review
45 Link opens in a new tab Citations (Scopus)