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Updated: Jun 23, 2026

Designing a Bio-responsive Robot from DNA Origami

Designing a Bio-responsive Robot from DNA Origami

Published on: July 8, 2013

Physics-Informed Neural Network-Enabled Forward Prediction and Inverse Design of Ring Origami.

Luyuan Ning¹, Lu Lu¹, Sophie Leanza¹

¹Department of Mechanical Engineering, Stanford University, Stanford, California, USA.

Advanced Science (Weinheim, Baden-Wurttemberg, Germany)

|June 22, 2026

Summary

This summary is machine-generated.

Researchers developed a programmable design framework for ring origami using physics-informed neural networks. This enables precise control over shape-morphing behaviors for applications in robotics and aerospace.

Keywords:

forward prediction inverse design physics‐informed neural network ring origami shape morphing

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Last Updated: Jun 23, 2026

Designing a Bio-responsive Robot from DNA Origami

Designing a Bio-responsive Robot from DNA Origami

Published on: July 8, 2013

Area of Science:

Mechanics of Materials
Computational Physics
Robotics

Background:

Ring origami structures, composed of closed-loop rods, exhibit complex shape-morphing capabilities driven by snap-buckling instability.
Current limitations hinder the programmable design of these structures for advanced applications.

Purpose of the Study:

To develop a unified framework for predicting and designing ring origami structures.
To enable precise control over shape-morphing behaviors for diverse applications.

Main Methods:

Integration of Kirchhoff rod theory with physics-informed neural networks.
Development of a framework for forward prediction and inverse design of segmented rings.
Inclusion of a shape-matching loss for targeted configuration achievement.

Main Results:

The framework successfully identifies stable states for various segmented rings with controlled natural curvature.
It determines the necessary natural curvature profiles for achieving desired stable configurations.
The framework demonstrates generality and robustness, extendable to 3D rod systems.

Conclusions:

A powerful strategy for programmable design of elastic rod systems, exemplified by ring origami, has been established.
This work opens new avenues for functional applications requiring shape-morphing structures with specific configurations.