Generative machine learning algorithm for lattice structures with superior mechanical properties

Abstract

We present a hybrid neural network and genetic optimization adaptive method incorporating Bézier curves to consider the large design space of lattice structures with superior mechanical properties.

Document Details

Document Type
Pub Defense Publication
Publication Date
Jan 01, 2022
Source ID
10.1039/d1mh01792f

Entities

People

  • Grace X Gu
  • Sangryun Lee
  • Zhizhou Zhang

Organizations

  • National Research Foundation of Korea
  • Office of Naval Research
  • University of California

Tags

Readers

  • Neural Network Machine Learning.
  • Superconducting Magnet Technology
  • Tribology (the study of the boundary interaction between sliding surfaces, lubrication, wear and friction).

Technology Areas

  • AI & ML
  • AI & ML - Machine Learning Algorithms
  • AI & ML - Neural Networks
  • Biotechnology
  • Space