fix make

Makefile

-paper.pdf: paper.tex
+paper.pdf: bbl
 	pdflatex paper.tex
-	bibtex paper
 	pdflatex paper.tex
 
+bbl: paper.tex
+	pdflatex paper.tex
+	bibtex paper.aux
+
 paper.tex:
 	pandoc -s --filter pandoc-fignos --filter pandoc-citeproc --filter pandoc-crossref --natbib paper.md -o paper.tex --bibliography paper.bib --template revtex.template

paper.bib

-@article{nijholt2016orbital,
-  title={Orbital effect of magnetic field on the Majorana phase diagram},
-  author={Nijholt, Bas and Akhmerov, Anton R},
-  journal={Physical Review B},
-  volume={93},
-  number={23},
-  pages={235434},
-  year={2016},
-  publisher={APS}
-}
+@article{PhysRevB.81.155449,
+  title = {Suppression of weak antilocalization in InAs nanowires},
+  author = {Roulleau, P. and Choi, T. and Riedi, S. and Heinzel, T. and Shorubalko, I. and Ihn, T. and Ensslin, K.},
+  journal = {Phys. Rev. B},
+  volume = {81},
+  issue = {15},
+  pages = {155449},
+  numpages = {4},
+  year = {2010},
+  month = {Apr},
+  publisher = {American Physical Society},
+  doi = {10.1103/PhysRevB.81.155449},
+  url = {https://link.aps.org/doi/10.1103/PhysRevB.81.155449}
+}
\ No newline at end of file

paper.md

@@ -7,7 +7,7 @@ author:
     - Kavli Institute of Nanoscience, Delft University of Technology, P.O. Box 4056, 2600 GA Delft, The Netherlands
   email: not_anton@antonakhmerov.org
 abstract: |
-  Adaptive is an open-source Python library designed to make adaptive parallel function evaluation simple. You supply a function with its bounds and it will be evaluated at the optimal points in parameter space by analyzing existing data and planning ahead on the fly. With just a few lines of code, you can evaluate functions on a computing cluster, live-plot the data as it returns, and benefit from a significant speedup.
+  Adaptive is an open-source Python library designed to make adaptive parallel function evaluation simple. You supply a function with its bounds and it will be evaluated at the optimal points in parameter space by analyzing existing data and planning ahead on the fly. With just a few lines of code, you can evaluate functions on a computing cluster, live-plot the data as it returns, and benefit from a significant speedup.\cite{PhysRevB.81.155449}
 acknowledgements: |
   We'd like to thank ...
 contribution: |