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Bradley D. Dice
Researcher at University of Michigan
Publications - 9
Citations - 224
Bradley D. Dice is an academic researcher from University of Michigan. The author has contributed to research in topics: Python (programming language) & Ternary operation. The author has an hindex of 4, co-authored 9 publications receiving 93 citations. Previous affiliations of Bradley D. Dice include William Jewell College & Yale University.
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.
Journal ArticleDOI
The diversity of three-dimensional photonic crystals
TL;DR: More than 150,000 photonic band calculations for thousands of natural crystal templates from which they predict 351 photonic crystal templates - including nearly 300 previously-unreported structures - that can potentially be realized for a multitude of applications and length scales, including several in the visible range via colloidal self-assembly as discussed by the authors.
Journal ArticleDOI
On the origin of multi-component bulk metallic glasses: Atomic size mismatches and de-mixing
TL;DR: In this paper, the authors studied the role of geometric frustration and demixing in determining the critical cooling rate R(c) for ternary hard-sphere systems, and found that when the diameter ratios are close to 1, such that the largest (A) and smallest (C) species are well-mixed, the glass-forming ability of such systems is no better than that of the optimal binary glass former.
Proceedings ArticleDOI
signac: A Python framework for data and workflow management
TL;DR: This talk showcases signac, an open-source Python framework that offers highly modular and scalable solutions for versatile data and workflow management tools that can easily adapt to the highly dynamic requirements of scientific investigations.
Journal ArticleDOI
On the origin of multi-component bulk metallic glasses: Atomic size mismatches and de-mixing
TL;DR: Simulation of ternary hard-sphere systems, which have been shown to be accurate models for the glass-forming ability of BMGs, are performed to understand the roles of geometric frustration and demixing in determining R(c), and two distinct regimes for the GFA in parameter space are found.