From: Bruno <blais.bruno@gmail.com>
Date: Sun, 20 Jun 2021 11:56:04 +0000 (-0400)
Subject: Small addition to particles + funding
X-Git-Url: https://gitweb.dealii.org/cgi-bin/gitweb.cgi?a=commitdiff_plain;h=refs%2Fpull%2F68%2Fhead;p=release-papers.git

Small addition to particles + funding
---

diff --git a/9.3/paper.bib b/9.3/paper.bib
index ae54352..ff4e59f 100644
--- a/9.3/paper.bib
+++ b/9.3/paper.bib
@@ -1181,3 +1181,12 @@ doi = {10.1504/IJCSE.2009.029164}
   year={2020},
   publisher={ACM New York, NY, USA}
 }
+
+@misc{golshan2021lethedem,
+	title={Lethe-DEM : An open-source parallel discrete element solver with load balancing}, 
+	author={Shahab Golshan and Peter Munch and Rene Gassmoller and Martin Kronbichler and Bruno Blais},
+	year={2021},
+	eprint={2106.09576},
+	archivePrefix={arXiv},
+	primaryClass={cond-mat.mtrl-sci}
+}
\ No newline at end of file
diff --git a/9.3/paper.tex b/9.3/paper.tex
index 7f2e87a..6846e1f 100644
--- a/9.3/paper.tex
+++ b/9.3/paper.tex
@@ -734,7 +734,10 @@ for particles that moved farther than one cell width between particle sorting
 operations, and support for updating ghost particles (particles that live in
 ghost cells around the local domain) by updating their properties instead of
 destroying and rebuilding their container. The latter step improves the
-efficiency of ghost particle exchange significantly.
+efficiency of ghost particle exchange significantly. With this feature,
+\dealii can be used to generate scalable parallel code for Lagrangian
+models such as the Discrete Element Method (DEM) \cite{golshan2021lethedem}
+or Molecular Dynamics.
 
 Finally, the \texttt{Particles::DataOut} class now supports writing particle
 properties as vectors or tensors instead of a collection of scalars if the properties are
@@ -1348,6 +1351,8 @@ W.~Bangerth was also partially supported by award OAC-1835673 as part of the Cyb
 program, DMS-1821210,
 and EAR-1925595.
 
+B.~Blais was partially supported by the National Science and Engineering Research Council of Canada (NSERC)  through the RGPIN-2020-04510 Discovery Grant
+
 T.~Heister and J.~Zhang were also partially supported by NSF OAC-2015848.
 
 T.~Heister was also partially supported by the NSF awards