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Topology optimization of hard-magnetic soft materials
Zhi Zhao,
Xiaojia Shelly Zhang
Civil and Environmental Engineering
Mechanical Science and Engineering
National Center for Supercomputing Applications (NCSA)
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Keyphrases
Topology Optimization
100%
Magnetization Distribution
100%
Hard-magnetic Soft Materials
100%
Applied Magnetic Field
66%
Magnetic-responsive
66%
Optimization Framework
66%
Remnant Magnetization
66%
Magnetic Actuator
66%
Large Deformation
33%
Magnetic Field
33%
Rational Design
33%
Kinematics
33%
Design Process
33%
Actuation
33%
Analytical Gradients
33%
Design Space
33%
Distinct Mechanism
33%
Programmability
33%
Soft Matrix
33%
Multi-target
33%
Rapid Response
33%
Design Example
33%
Metastructure
33%
Structure Optimization
33%
Soft Structures
33%
Magnetic Force
33%
Parameterized Algorithms
33%
Simultaneous Optimization
33%
Control Capability
33%
Optimized Shape
33%
Gradient Information
33%
Soft Robot
33%
Unified Design
33%
Responsive Design
33%
Design Parameterization
33%
Finite Rotations
33%
Untethered Control
33%
Programmable Metamaterial
33%
Programmable Deformation
33%
Hard Magnetic Particles
33%
Shape Programming
33%
Unconventional Design
33%
Magnetic Units
33%
Engineering
Soft Material
100%
Applied Magnetic Field
66%
Remnant Magnetization
66%
Programmability
33%
Magnetic Field
33%
Large Deformation
33%
Actuation
33%
Design Process
33%
Robot
33%
Design Space
33%
Multiple Target
33%
Magnetic Force
33%
Gradient Information
33%
Rotation (Kinematics)
33%
Magnetic Soft Robot
33%
Computer Science
Topology Optimization
100%
Optimization Framework
66%
Applied Magnetic Field
66%
Programmability
33%
Robot
33%
Control Capability
33%
Responsive Design
33%
Magnetic Soft Robot
33%
Rotation (Kinematics)
33%
Powerful Topology
33%
Magnetic Force
33%
Material Science
Soft Magnetic Material
100%
Actuator
66%
Large Deformation
33%
Metamaterial
33%
Magnetic Particle
33%
Physics
Magnetic Field
100%
Metamaterial
33%
Large Deformation
33%