From 7c49789d449b66e0852ad0ecadc9a841e1e77734 Mon Sep 17 00:00:00 2001 From: Rhys Goodall Date: Wed, 16 Oct 2024 16:16:41 -0400 Subject: [PATCH] doc: tex->bibtex to get syntax highlighting --- README.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index 4a02fc2..3ed2477 100644 --- a/README.md +++ b/README.md @@ -77,7 +77,7 @@ If you use this code please cite the relevant work: `roost` - Predicting materials properties without crystal structure: Deep representation learning from stoichiometry. [[Paper]](https://doi.org/10.1038/s41467-020-19964-7) [[arXiv]](https://arxiv.org/abs/1910.00617) -```tex +```bibtex @article{goodall_2020_predicting, title={Predicting materials properties without crystal structure: Deep representation learning from stoichiometry}, author={Goodall, Rhys EA and Lee, Alpha A}, @@ -92,7 +92,7 @@ If you use this code please cite the relevant work: `wren` - Rapid Discovery of Stable Materials by Coordinate-free Coarse Graining. [[Paper]](https://www.science.org/doi/10.1126/sciadv.abn4117) [[arXiv]](https://arxiv.org/abs/2106.11132) -```tex +```bibtex @article{goodall_2022_rapid, title={Rapid discovery of stable materials by coordinate-free coarse graining}, author={Goodall, Rhys EA and Parackal, Abhijith S and Faber, Felix A and Armiento, Rickard and Lee, Alpha A}, @@ -107,7 +107,7 @@ If you use this code please cite the relevant work: `cgcnn` - Crystal Graph Convolutional Neural Networks for an Accurate and Interpretable Prediction of Material Properties. [[Paper]](https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.120.145301) [[arXiv]](https://arxiv.org/abs/1710.10324) -```tex +```bibtex @article{xie_2018_crystal, title={Crystal graph convolutional neural networks for an accurate and interpretable prediction of material properties}, author={Xie, Tian and Grossman, Jeffrey C},