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Articles by K. W. Wang
In-memory phononic learning toward cognitive mechanical intelligence
Reference #1 Abstract INTRODUCTION RESULTS DISCUSSION MATERIALS AND METHODS Acknowledgments Supplementary Materials REFERENCES eLetters (0) Information & Authors Metrics & Citations View Options References Figures Tables Media Share This article has 0 eLetter . Abstract Mechanical intelligence seeks autonomous materials that embody memory, perception, learning, and decision-making within the mechanical domain.
To biopsy or not to biopsy, that is the prostate-blem: The utility of prostate health index in men with PIRADS 3 lesions
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Uncovering and Experimental Realization of Multimodal 3D Topological Metamaterials for Low‐Frequency and Multiband Elastic Wave Control (Adv. Sci. 30/2023)
Graphical Abstract Wave Control In article number 2304793, Patrick Dorin, Mustafa Khan, and K.W. Wang synthesize a 3D topological metamaterial that harnesses multimodal local resonance to enable multiband and low-frequency elastic wave control. The 3D lattice geometry of the metamaterial is carefully configured to uncover polarization-, frequency-, and layer-dependent waveguides in 3D mechanical structures.
Uncovering and Experimental Realization of Multimodal 3D Topological Metamaterials for Low‐Frequency and Multiband Elastic Wave Control
1 Introduction Topological phases have been employed to achieve robust electron transport in quantum systems through conducting states that are protected from local perturbations.[1-4] Recently, topological phases have been integrated into the synthesis of elastic (i.e., mechanical) metamaterials, facilitating extraordinary control over the flow of energy and information contained by elastic waves in mechanical systems.
Origami inspired phononic structure with metamaterial inclusions for tunable angular wave steering
Autonomous systems have seen tremendous growth in the last decade due to sensory components becoming less expensive and computational power of processors increasing.11. S. Campbell, N. O’Mahony, L. Krpalcova, D. Riordan, J. Walsh, A. Murphy, and C. Ryan, “Sensor technology in autonomous vehicles: A review,” in 2018 29th Irish Signals and Systems Conference (ISSC), Belfast (IEEE, 2018), pp. 1–4.
Self-locking degree-4 vertex origami structures
AbstractA generic degree-4 vertex (4-vertex) origami possesses one continuous degree-of-freedom for rigid folding, and this folding process can be stopped when two of its facets bind together. Such facet-binding will induce self-locking so that the overall structure stays at a pre-specified configuration without additional locking elements or actuators.
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