Thornton AR, Plath T, Ostanin I, Götz H, Bisschop JW, Hassan M, Roeplal R, Wang X, Pourandi S, Weinhart T (2023)
Publication Type: Journal article
Publication year: 2023
Book Volume: 17
Article Number: 13
Journal Issue: 2
DOI: 10.1007/s11786-023-00562-x
In this paper we introduce the open-source code MercuryDPM: a code for simulating discrete particles. The paper discusses software and management issues that may be interesting for the developers of other open-source codes. Then we review the new features that have been added since the last publication: an improved Hertz-Mindlin model; a new liquid bridge model of Lian and Seville; a droplet-spray model; better support for re-creating complex, measured particle size distributions; a new implementation of rigid clumps; an implementation of elastic membranes; a wear model for walls; a soft-kill feature and a cloud-deployment interface for AWS.
APA:
Thornton, A.R., Plath, T., Ostanin, I., Götz, H., Bisschop, J.-W., Hassan, M.,... Weinhart, T. (2023). Recent Advances in MercuryDPM. Mathematics in Computer Science, 17(2). https://doi.org/10.1007/s11786-023-00562-x
MLA:
Thornton, Anthony R., et al. "Recent Advances in MercuryDPM." Mathematics in Computer Science 17.2 (2023).
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