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HOOMD-blue: A Python package for high-performance molecular dynamics and hard particle Monte Carlo simulations

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Year: 2019
Type: software-paper
Source: Computational Materials Science
DOI: 10.1016/j.commatsci.2019.109363
Authors: Joshua A. Anderson, Jens Glaser, Sharon C. Glotzer
Institution: University of Michigan
Language: English

Topic: Computational Physics and Python Applications
Subfield: Software
Field: Computer Science
Domain: Physical Sciences

Open Access status: bronze

Funders: National Science Foundation, U.S. Department of Defense, U.S. Department of Energy, Nvidia, University of Michigan, Office of Science, Division of Materials Research
Awards: G121915436, G1418315740, G1554045874, G1645119126, G1866217153, G2008493015, G203625172, G2222600376, G2320086448, G249831736, G2842318776, G2943742035, G2988778103, G3945850812, G4429860917, G4652570887, G498139845, G5959670421, XSEDE: eXtreme Science and Engineering Discovery Environment, NSF-ITR-(ASE)-(sim+int+dmc) "Geometry, Order and Packing: New Computational and Analytical Tools", CDS&E: Fast, scalable GPU-enabled software for predictive materials design & discovery, G8269158468, G834413596, G8906985441, G969889393
OpenAlex ID: W2980609865
Cites: 53
Cited by: 771
Related to: 10
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