Determining the natural state of origami folds with machine learning
No Thumbnail Available
Authors
Meeting name
Sponsors
Date
Journal Title
Format
Article
Subject
Abstract
"Origami-inspired designs have found applications in several engineering domains, from aerospace to biomedical. These designs excel in applications that require lightweight, compact, and morphing structures such as the retracting wings of insects or the solar sails on satellites. The architecture of such designs is complex and reminiscent of the architecture of neural networks: nodes communicate information through edges like how neurons communicate through their axons. The aim of the project is to adapt loss minimization algorithms used for neural networks, such as back propagation and gradient descent, to problems of mechanical energy minimization in the elastic folds of origami patterns." -- first page
Table of Contents
DOI
PubMed ID
Degree
Thesis Department
Rights
OpenAccess.
License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 4.0 License.