Mechanical Neural-network Architecture Materials that Learn

Abstract

The objective of this research is to apply the concept of artificial neural networks to enablethe creation of a new kind of architectured material called mechanical neural-network (MNN)architectured materials that can learn desired properties via a complex web of active flexibleelements that constitute the materials’ microstructure. Although significant research has beenconducted toward enabling advanced materials that utilize active elements to achieveprogrammable properties, many scenarios exist where a material’s environment may change andit is necessary that the material can autonomously adapt its properties accordingly to successfullyfulfill its desired purpose.

Document Details

Document Type
DoD Grant Award
Publication Date
Jul 24, 2019
Source ID
FA95501810459

Entities

People

  • Jonathan B. Hopkins

Organizations

  • Air Force Office of Scientific Research
  • United States Air Force
  • University of California, Los Angeles

Tags

Readers

  • Data Mining and Knowledge Discovery.
  • Nanocomposite Materials Science
  • Neural Network Machine Learning.

Technology Areas

  • AI & ML
  • AI & ML - Neural Networks