More on paper

Author: mikaem

docs/paper/paper.bib

@@ -81,3 +81,31 @@ @article{fftw05
   pages =	 {216--231},
   note =	 {Special issue on ``Program Generation, Optimization, and Platform Adaptation''}
 }
+
+@article{mortensen16,
+  title = {{High performance Python for direct numerical simulations of turbulent flows}},
+  journal = {{Computer Physics Communications}},
+  volume = "203",
+  pages = "53 - 65",
+  year = "2016",
+  issn = "0010-4655",
+  doi = {https://doi.org/10.1016/j.cpc.2016.02.005},
+  author = {{Mikael Mortensen and Hans Petter Langtangen}},
+}
+
+@article{mortensen16b,
+  title={Massively parallel implementation in Python of a pseudo-spectral DNS code for turbulent flows},
+  author={Mikael Mortensen},
+  journal={CoRR},
+  year={2016},
+  volume={abs/1607.00850}
+}
+
+@article{ketcheson,
+  title = {{More efficient time integration for Fourier pseudo-spectral DNS of incompressible turbulence}},
+  author = {{Ketcheson, David and Mortensen, Mikael and Parsani, Matteo and Schilling, Nathanael}},
+  journal = {{International Journal of Numerical Methods in Fluids}},
+  volume = {in press},
+  year = {2019},
+  url = {https://arxiv.org/abs/1810.10197}
+}

docs/paper/paper.md

@@ -64,6 +64,10 @@ method. ``shenfun`` is able to solve PDEs of any given dimensionality
 by creating tensor product bases as outer products of one-dimensional
 bases. This leads to large multidimensional arrays that are
 distributed effortlessly through ``mpi4py-fft``.
+Throughout the ``spectralDNS`` (https://github.com/spectralDNS/spectralDNS)
+project ``shenfun`` is being used extensively for Direct Numerical
+Simulations (DNS) of turbulent flows [@mortensen16,@mortensen16b,@ketcheson],
+using arrays with billions of unknowns.
 
 ``mpi4py-fft`` can be utilized by anyone that needs to perform FFTs on large
 multidimensional arrays. Through its distributed array interface it can also be