Pathways to controlled 3D deformation of graphene: Manipulating the motion of topological defects

Keyphrases

• 3D Structure 100%
• Graphene 100%
• Topological Defects 100%
• 3D Deformation 100%
• Defect Migration 60%
• Forward Problem 60%
• Inverse Problem 40%
• Applied Load 40%
• Corrugation 40%
• Flexible Electronics 20%
• Nanometer Scale 20%
• Functional Properties 20%
• Dynamic Programming Algorithm 20%
• Angstrom 20%
• Strain Field 20%
• 2D Materials 20%
• Atomic Scale 20%
• Migration Routes 20%
• One-based 20%
• Submicron 20%
• Migration Mechanism 20%
• New Functionalities 20%
• Stress Field 20%
• Design Space 20%
• Genetic Algorithm 20%
• Potential Energy Surface 20%
• Inverse Model 20%
• Defect Identification 20%
• Mechanical Load 20%
• Soft Robotics 20%
• Nature of Defects 20%
• Monte Carlo Process 20%
• Computational Perspective 20%
• Fixed Stress 20%
• Gaussian Process Model 20%
• Convolutional Neural Network 20%
• Scale Control 20%
• Monte Carlo Tree Search 20%
• Biomimetic Optics 20%
• Topological Configuration 20%
• Strategic Application 20%

Engineering

• Graphene 100%
• Applied Load 66%
• Flexible Electronics 33%
• Realization 33%
• Nanometre 33%
• Strain Field 33%
• Gaussians 33%
• Potential Energy 33%
• Energy Surface 33%
• Multiple Scale 33%
• Genetic Algorithm 33%
• Biomimetics 33%
• Application Area 33%
• Dynamic Programming 33%
• Functional Property 33%
• Mechanical Load 33%
• Design Space 33%
• 2D Material 33%
• Convolutional Neural Network 33%
• Soft Robotics 33%

Material Science

• Graphene 100%
• Surface Energy 33%
• Two-Dimensional Material 33%