E
Eric S. Harper
Researcher at University of Michigan
Publications - 17
Citations - 282
Eric S. Harper is an academic researcher from University of Michigan. The author has contributed to research in topics: Potential of mean force & Square lattice. The author has an hindex of 6, co-authored 14 publications receiving 147 citations. Previous affiliations of Eric S. Harper include Air Force Research Laboratory & Wright-Patterson Air Force Base.
Papers
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Journal ArticleDOI
freud: A software suite for high throughput analysis of particle simulation data
Vyas Ramasubramani,Bradley D. Dice,Eric S. Harper,Matthew Spellings,Joshua A. Anderson,Sharon C. Glotzer +5 more
TL;DR: The freud Python package provides the core tools for finding particle neighbors in periodic systems, and offers a uniform API to a wide variety of methods implemented using these tools, enabling analysis of a broader class of data ranging from biomolecular simulations to colloidal experiments.
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The entropic bond in colloidal crystals
TL;DR: It is shown via a minimal model that crowded hard-particle systems governed solely by entropy exhibit the hallmark features of bonding despite the absence of chemical interactions, and quantitatively characterize these features and compare them to those exhibited by chemical bonds to argue for the existence of entropic bonds.
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Inverse design of broadband highly reflective metasurfaces using neural networks
TL;DR: In this article, the authors employ coupled wave analysis to calculate reflection and transmission spectra associated with a class of open-cylinder all-dielectric metasurfaces.
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Artificial neural network discovery of a switchable metasurface reflector.
Jonathan Thompson,Joshua A. Burrow,P. J. Shah,Jonathan E. Slagle,Eric S. Harper,A. Van Rynbach,Imad Agha,Matthew S. Mills +7 more
TL;DR: This paper simulates various metasurface configurations consisting of periodic 1D bars or 2D pillars made of the ternary phase change material Ge2Sb2Te5 (GST) and identifies and validate optimal GST metasURface configurations best suited as dynamic switchable mirrors depending on selected light and manufacturing constraints.
Journal Article
Shape Allophiles Improve Entropic Assembly
TL;DR: In this article, shape allophiles are used to fit together puzzle pieces as a method to access and stabilize desired structures by controlling directional entropic forces, where squares are cut into rectangular halves, which are shaped in an allophilic manner with the goal of reassembling the squares while self-assembling a square lattice.