E
Eric J. Amis
Researcher at National Institute of Standards and Technology
Publications - 151
Citations - 9890
Eric J. Amis is an academic researcher from National Institute of Standards and Technology. The author has contributed to research in topics: Dendrimer & Polymer. The author has an hindex of 54, co-authored 151 publications receiving 9436 citations. Previous affiliations of Eric J. Amis include University of Akron & Raytheon.
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Journal ArticleDOI
A buckling-based metrology for measuring the elastic moduli of polymeric thin films
Christopher M. Stafford,Christopher Harrison,Kathryn L. Beers,Alamgir Karim,Eric J. Amis,Mark R. VanLandingham,Mark R. VanLandingham,Ho-Cheol Kim,Willi Volksen,Robert D. Miller,Eva E. Simonyi +10 more
TL;DR: An elegant, efficient measurement method that yields the elastic moduli of nanoscale polymer films in a rapid and quantitative manner without the need for expensive equipment or material-specific modelling is introduced.
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Dendrimer Templates for the Formation of Gold Nanoclusters
TL;DR: In this paper, the formation of gold colloids upon reduction of a gold salt precursor serves as a model reaction to study the influence of reaction conditions and dendrimer generation on the resulting nanostructures.
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High-throughput investigation of osteoblast response to polymer crystallinity: influence of nanometer-scale roughness on proliferation.
TL;DR: The use of the gradient library approach yielded the functional dependence of cell proliferation on nanometer-scale roughness and gave a sensitive estimate of the critical roughness for which a decrease in proliferation is observed.
Journal Article
High-Throughput Investigation of Osteoblast Response to Polymer Crystallinity: Influence of Nano-scale Roughness on Proliferation
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Combinatorial screen of the effect of surface energy on fibronectin-mediated osteoblast adhesion, spreading and proliferation.
TL;DR: Results show that fibronectin-mediated cell spreading and proliferation are dependent on surface energy and establish a new combinatorial approach for screening cell response to changes in surface energy.