Recent Advances in MercuryDPM

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

Journal

Mathematics in Computer Science Springer Verlag

Book Volume: 17

Article Number: 13

Journal Issue: 2

DOI: 10.1007/s11786-023-00562-x

Abstract

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.

Authors with CRIS profile

Holger Götz Lehrstuhl für Multiscale Simulation of Particulate Systems

Involved external institutions

University of Twente NL Netherlands (NL) Delft University of Technology (TU Delft) NL Netherlands (NL)

How to cite

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://dx.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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