1st shot at link check CI that converts notebooks to HTML on the fly

.github/workflows/link-check.yml

@@ -0,0 +1,29 @@
+# name: Check Links
+
+# on:
+#   push:
+#     branches: [main]
+#   pull_request:
+#     branches: [main]
+#   workflow_dispatch:
+
+# jobs:
+#   check_links:
+#     runs-on: ubuntu-latest
+
+#     steps:
+#       - name: Checkout code
+#         uses: actions/checkout@v4
+
+#       - name: Set up Python
+#         uses: actions/setup-python@v5
+#         with:
+#           python-version: "3.11"
+
+#       - name: Install dependencies
+#         run: |
+#           pip install pytest-check-links nbconvert
+
+#       - name: Run link check
+#         run: |
+#           pytest --check-links **/**/*.md **/**/*.ipynb --check-links-ignore "https://www.gauss-centre.eu"

paper/paper.md

@@ -206,6 +206,6 @@ Naturally, the summary presented in this article constitutes only a small subset
 
 # Acknowledgements
 
-This work was primarily funded and intellectually led by the Materials Project, which is funded by the U.S. Department of Energy, Office of Science, Office of Basic Energy Sciences, Materials Sciences and Engineering Division, under Contract no. DE-AC02-05-CH11231: Materials Project program KC23MP. A.S.R. acknowledges support via a Miller Research Fellowship from the Miller Institute for Basic Research in Science, University of California, Berkeley. J.G would like to acknowledge the Gauss Centre for Supercomputing e.V. ([www.gauss-centre.eu](http://www.gauss-centre.eu/)) for funding workflow-related developments by providing generous computing time on the GCS Supercomputer SuperMUC-NG at Leibniz Supercomputing Centre ([www.lrz.de](http://www.lrz.de/)) (Project pn73da). J.R. acknowledges support from the German Academic Scholarship Foundation (Studienstiftung). M.L.E. thanks the BEWARE scheme of the Wallonia-Brussels Federation for funding under the European Commission's Marie Curie-Skłodowska Action (COFUND 847587). G.P. and D.W. acknowledge Umicore for the financial support in developing the remote execution mode of jobflow. D.W. and G.M.R. acknowledge funding from the European Union’s Horizon 2020 research and innovation program under the grant agreement No 951786 (NOMAD CoE). A.M.G. is supported by EPSRC Fellowship EP/T033231/1.
+This work was primarily funded and intellectually led by the Materials Project, which is funded by the U.S. Department of Energy, Office of Science, Office of Basic Energy Sciences, Materials Sciences and Engineering Division, under Contract no. DE-AC02-05-CH11231: Materials Project program KC23MP. A.S.R. acknowledges support via a Miller Research Fellowship from the Miller Institute for Basic Research in Science, University of California, Berkeley. J.G would like to acknowledge the Gauss Centre for Supercomputing e.V. (<https://www.gauss-centre.eu>) for funding workflow-related developments by providing generous computing time on the GCS Supercomputer SuperMUC-NG at Leibniz Supercomputing Centre ([www.lrz.de](http://www.lrz.de/)) (Project pn73da). J.R. acknowledges support from the German Academic Scholarship Foundation (Studienstiftung). M.L.E. thanks the BEWARE scheme of the Wallonia-Brussels Federation for funding under the European Commission's Marie Curie-Skłodowska Action (COFUND 847587). G.P. and D.W. acknowledge Umicore for the financial support in developing the remote execution mode of jobflow. D.W. and G.M.R. acknowledge funding from the European Union’s Horizon 2020 research and innovation program under the grant agreement No 951786 (NOMAD CoE). A.M.G. is supported by EPSRC Fellowship EP/T033231/1.
 
 # References