bib urls

_toc.yml

@@ -26,7 +26,7 @@
     - file: diffphys-outlook.md
 - file: jupyter-book-reference
   sections:
-    - file: markdown
+    - file: jupyter-book-reference-markdown
-    - file: notebooks
+    - file: jupyter-book-reference-notebooks
 - file: references
 - file: notation

intro.md

@@ -151,5 +151,4 @@ time series, sequence prediction?] {cite}`wiewel2019lss,bkim2019deep,wiewel2020l
 _Misc jupyter book TODOs_
 
 - Fix latex PDF output
-- How to include links to papers in the bibtex references?
 

references.bib

@@ -18,21 +18,24 @@
 	  title={Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers},
 	  author={Um, Kiwon and Brand, Robert and Holl, Philipp and Fei, Raymond Thuerey, Nils},
 	  journal=NeurIPS,
-	  year={2020}
+	  year={2020},
+	  url={https://ge.in.tum.de/publications/2020-um-solver-in-the-loop/},
 }
 
 @article{kohl2020lsim,
 	  title={Learning Similarity Metrics for Numerical Simulations},
 	  author={Kohl, Georg and Um, Kiwon and Thuerey, Nils},
 	  journal=ICML,
-	  year={2020}
+	  year={2020},
+	  url={https://ge.in.tum.de/publications/2020-lsim-kohl/},
 }
 
 @article{wiewel2020lsssubdiv,
 	  title={Latent Space Subdivision: Stable and Controllable Time Predictions for Fluid Flow},
 	  author={Wiewel, Steffen and Kim, Byungsoo and Azevedo, Vinicius C and Solenthaler, Barbara and Thuerey, Nils},
 	  journal=SCA,
-	  year={2020}
+	  year={2020},
+	  url={https://ge.in.tum.de/publications/2020-lssubdiv-wiewel/},
 }
 
 @article{chu2020tecogan,
@@ -43,7 +46,8 @@
 	  number={4},
 	  pages={75--1},
 	  year={2020},
-	  publisher={ACM New York, NY, USA}
+	  publisher={ACM},
+	  url={https://ge.in.tum.de/publications/2019-tecogan-chu/},
 }
 
 
@@ -52,28 +56,32 @@
 		  author={Weiss, Sebastian and Maier, Robert and Cremers, Daniel and Westermann, Rudiger and Thuerey, Nils},
 		  booktitle=CVPR,
 		  pages={4686--4695},
-	  year={2020}
+	  year={2020},
+	  url={https://ge.in.tum.de/publications/2020-cvpr-weiss/},
 }
 
 @inproceedings{holl2019pdecontrol,
 	  title={Learning to Control PDEs with Differentiable Physics},
 	  author={Holl, Philipp and Thuerey, Nils and Koltun, Vladlen},
 	  booktitle=ICLR,
-	  year={2019}
+	  year={2019},
+	  url={https://ge.in.tum.de/publications/2020-iclr-holl/},
 }
 
 @article{prantl2019tranquil,
 	  title={Tranquil clouds: Neural networks for learning temporally coherent features in point clouds},
 	  author={Prantl, Lukas and Chentanez, Nuttapong and Jeschke, Stefan and Thuerey, Nils},
 	  journal=ICLR,
-	  year={2019}
+	  year={2019},
+	  url={https://ge.in.tum.de/publications/2020-iclr-prantl/},
 }
 
 @inproceedings{ummenhofer2019contconv,
 	  title={Lagrangian fluid simulation with continuous convolutions},
 	  author={Ummenhofer, Benjamin and Prantl, Lukas and Thuerey, Nils and Koltun, Vladlen},
 	  booktitle=ICLR,
-	  year={2019}
+	  year={2019},
+	  url={https://ge.in.tum.de/publications/2020-ummenhofer-iclr/},
 }
 
 @article{eckert2019scalarflow,
@@ -84,7 +92,8 @@
 	  number={6},
 	  pages={1--16},
 	  year={2019},
-	  publisher={ACM New York, NY, USA}
+	  publisher={ACM},
+	  url={https://ge.in.tum.de/publications/2019-tog-eckert/},
 }
 
 
@@ -93,7 +102,8 @@
 	  author={Thuerey, Nils and Weissenow, Konstantin and Prantl, Lukas and Hu, Xiangyu},
 	  journal={AIAA Journal}, year={2020},
 	  volume={58}, number={1}, pages={25--36},
-	  publisher={American Institute of Aeronautics and Astronautics}
+	  publisher={American Institute of Aeronautics and Astronautics},
+	  url={https://ge.in.tum.de/publications/2018-deep-flow-pred/},
 }
 
 @article{prantl2019rtliq,
@@ -101,7 +111,8 @@
 	  author={Lukas Prantl and Boris Bonev and Nils Thuerey},
 	  journal=ICLR,
 	  year={2019},
-  	pages={20}
+  	  pages={20},
+	  url={https://ge.in.tum.de/publications/2017-prantl-defonn/},
 }
 
 
@@ -113,6 +124,7 @@
 	  volume={38},
 	  number={2},
 	  pages={12},
+	  url={https://ge.in.tum.de/publications/latent-space-physics/},
 }
 
 @article{bkim2019deep,
@@ -123,6 +135,7 @@
 	  volume={38},
 	  number={2},
 	  pages={12},
+	  url={http://www.byungsoo.me/project/deep-fluids/},
 }
 
 @article{xie2018tempoGan,
@@ -131,7 +144,8 @@
 	 journal = ACM_TOG,
 	 volume = {37(4)},
 	 year = {2018},
-	 publisher = {ACM}
+	 publisher = {ACM},
+	 url={https://ge.in.tum.de/publications/tempogan/},
 } 
 
 @article{hikaru2018simulating,
@@ -159,7 +173,8 @@
 	  author={Kiwon Um and Xiangyu Hu and Nils Thuerey},
 	  journal=EG_CGF,
 	  volume={37(8)},
-	  year={2018}
+	  year={2018},
+	  url={https://ge.in.tum.de/publications/2018-mlflip-um/},
 	}
 
 @article{eckert2018oiof,
@@ -230,7 +245,8 @@
 	  number={4},
 	  pages={69},
 	  year={2017},
-	  publisher={ACM}
+	  publisher={ACM},
+	  url={http://ge.in.tum.de/publications/2017-sig-chu/},
 }
 
 @article{thuerey2017interpolations,
@@ -835,7 +851,7 @@
 
 @article{alquraishi2019alphafold,
   title={AlphaFold at CASP13},
-  author={AlQuraishi, Mohammed},
+  author={Quraishi, Mohammed Al},
   journal={Bioinformatics},
   volume={35},
   number={22},
@@ -844,3 +860,4 @@
   publisher={Oxford University Press}
 }
 
+

supervised-airfoils.ipynb

@@ -25,7 +25,7 @@
     "\n",
     "## Code coming up...\n",
     "\n",
-    "Let's get started with the implementation. Note that we'll skip the data generation process here. This example is adapted from [this codebase](https://github.com/thunil/Deep-Flow-Prediction), which you can check out for details. Here, we'll simply download a small set of training data generated with a Spalart-Almaras RANS simulation in [OpenFOAM](openfoam)."
+    "Let's get started with the implementation. Note that we'll skip the data generation process here. This example is adapted from [this codebase](https://github.com/thunil/Deep-Flow-Prediction), which you can check out for details. Here, we'll simply download a small set of training data generated with a Spalart-Almaras RANS simulation in [OpenFOAM](https://openfoam.org/)."
    ]
   },
   {