Abstract
Challapalli et al. utilized machine learning to find cellular (lattice) structures with a high natural frequency to avoid resonance and high impact energy, demonstrating a 30-100% higher natural frequency and a 300% improvement in energy absorption. Their work shows the potential impact of machining learning on the design of metamaterials.Xiao et al. studied a new metastructure for morphing wing design to break through the technical challenge of small-scale aircraft. Their morphing wing design with soft pneumatic actuators and modified pantographic metastructures demonstrates spanwise and chordwise morphing capabilities, showing an engineering breakthrough of prototyping.These papers highlight some current engineering challenges of metamaterial design. This community will grow fast and impact the world through scientific findings and engineering breakthroughs. We hope that readers will enjoy reading these papers specially solicited for the community.Shanghai Jiao Tong University Xin-Lin Gao Southern Methodist University
Highlights
Specialty section: This article was submitted to Solid and Structural Mechanics, a section of the journal Frontiers in Mechanical Engineering
While organizing this special topic, we invited papers on mechanical metamaterials that are artificially designed material systems with exotic properties rarely found in nature
The exciting features of mechanical metamaterials are usually defined by their topological architecture and microstructural connectivity rather than composition
Summary
Specialty section: This article was submitted to Solid and Structural Mechanics, a section of the journal Frontiers in Mechanical Engineering. Jaehyung Ju 1* and Xin-Lin Gao 2* Edited and reviewed by: Guoqiang Li, Louisiana State University, United States
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