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Hexagon

10.1103/PhysRevX.7.021001

Hexagon

Hexagon performance

J. A. Anderson, J. Antonaglia, J. A. Millan, M. Engel, and S. C. Glotzer, Phys. Rev. X, vol. 7, no. 2, p. 21001, Apr. 2017.

Depletion

10.1039/C6SM00620E

Depletion

Depletion performance

Karas AS et al. Using depletion to control colloidal crystal assemblies of hard cuboctahedra. Soft Matter, 2015

Microsphere

10.1002/adma.201501329

Microsphere

Microsphere performance

Zhang, et. al. (2015) Simultaneous Nano- and Microscale Control of Nanofibrous Microspheres Self-Assembled from Star-Shaped Polymers 27, 3947–3952

Quasicrystal

10.1038/NMAT4152

Icosahedral quasicrystal

Quasicrystal performance

Engel M, et. al. (2015) Computational self-assembly of a one-component icosahedral quasicrystal, Nature materials 14(January), p. 109-116

Triblock copolymer

10.1021/ma061120f

Polymer benchmark snapshot

Triblock copolymer performance

Anderson, J.A. (2006) et. al. - Coarse-Grained Simulations of Gels of Nonionic Multiblock Copolymers with Hydrophobic Groups. Macromolecules, 39(15):5143–5151

Lennard-Jones liquid

Generic benchmark

Lennard-Jones liquid benchmark snapshot

Lennard-Jones liquid performance

Dodecahedron

Generic benchmark

Lennard-Jones liquid benchmark snapshot

Dodecahedron performance

Download and run

These benchmarks are stored in a git repository. Download them by cloning the repository. You can run individual benchmarks easily. (Note: benchmarks do not yet run in v2.0)

git clone https://github.com/joaander/hoomd-benchmarks.git
cd hoomd-benchmarks/microsphere
python bmark.py

Acknowledgments

NVIDIA provided some of the GPUs used in performing these benchmarks.