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Yang-Tse Cheng

Researcher at University of Kentucky

Publications -  282
Citations -  16004

Yang-Tse Cheng is an academic researcher from University of Kentucky. The author has contributed to research in topics: Indentation & Thin film. The author has an hindex of 62, co-authored 270 publications receiving 14131 citations. Previous affiliations of Yang-Tse Cheng include General Motors & University of Windsor.

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Scaling, dimensional analysis, and indentation measurements

TL;DR: In this article, the authors provide an overview of the basic concepts of scaling and dimensional analysis, followed by a review of some of the recent work on applying these concepts to modeling instrumented indentation measurements.
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Is the lotus leaf superhydrophobic

TL;DR: This article showed that the lotus leaves can be either hydrophobic or hydrophilic, depending on how the water gets on to their surfaces, which has significant ramifications on how to make and use superhydrophobic surfaces.
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Relationships between hardness, elastic modulus, and the work of indentation

TL;DR: In this paper, the authors examined the work done during indentation using dimensional analysis and finite element calculations for conical indentation in elastic-plastic solids with work hardening, and proposed a method for estimating the hardness and modulus of solids using instrumented indentation with conical or pyramidal indenters.
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Evolution of stress within a spherical insertion electrode particle under potentiostatic and galvanostatic operation

TL;DR: In this article, the authors developed analytic expressions for the evolution of stress and strain energy within a spherically shaped electrode element under either galvanostatic (constant current) or potentiostatic operation when irreversible phenomena are dominated by solute diffusion resistance within host particles.
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Effects of micro- and nano-structures on the self-cleaning behaviour of lotus leaves

TL;DR: In this article, the influence of micro-and nano-scale structures on the wetting behavior of lotus leaves was investigated and the findings may help design self-cleaning surfaces and improve our understanding of wetting mechanisms.