D
David C. Lin
Researcher at National Institutes of Health
Publications - 12
Citations - 977
David C. Lin is an academic researcher from National Institutes of Health. The author has contributed to research in topics: Indentation & Nanoindentation. The author has an hindex of 7, co-authored 12 publications receiving 895 citations.
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Robust strategies for automated AFM force curve analysis--I. Non-adhesive indentation of soft, inhomogeneous materials.
TL;DR: This paper compiled a series of synergistic strategies into an algorithm that overcomes many of the complications that have previously impeded efforts to automate the fitting of contact mechanics models to indentation data, and allows for improved consistency and minimized user intervention.
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Spherical indentation of soft matter beyond the Hertzian regime: numerical and experimental validation of hyperelastic models
TL;DR: Although this finding supports the generally accepted view that many soft materials can be assumed to be linear elastic at small deformations, the nonlinear models facilitate analysis of intrinsically nonlinear tissues and large-strain indentation behavior.
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Nanomechanics of polymer gels and biological tissues: A critical review of analytical approaches in the Hertzian regime and beyond
David C. Lin,Ferenc Horkay +1 more
TL;DR: This work surveys recent progress in the application of nanoindentation to characterize the local mechanical properties of polymer gels and biological tissues and stresses the need for contact mechanics models that more accurately represent the large-strain behaviour of soft matter.
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Robust Strategies for Automated AFM Force Curve Analysis—II: Adhesion-Influenced Indentation of Soft, Elastic Materials
TL;DR: The authors' comprehensive algorithm for automated extraction of Young's moduli from AFM indentation data has been expanded to recognize the presence of either adhesive or Hertzian behavior and apply the appropriate contact model.
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Development of minimal models of the elastic properties of flexible and stiff polymer networks with permanent and thermoreversible cross-links
TL;DR: This framework is then used to address how the network elasticity becomes modified when the network cross-linking is thermoreversible in nature, changes in the stability of the network with deformation, and the effect of a variable rate of network deformation on the non-linear elastic response.