Merge branch 'main' into eqv2_dens

docs/core/datasets/omat24.md

@@ -112,10 +112,22 @@ The OMat24 dataset is licensed under a [Creative Commons Attribution 4.0 License
 Please consider citing the following paper in any publications that uses this dataset:
 
 
-```bibtex
-
-```
-
-```bibtex
-
+```bib
+@article{barroso_omat24,
+  title={Open Materials 2024 (OMat24) Inorganic Materials Dataset and Models},
+  author={Barroso-Luque, Luis and Muhammed, Shuaibi and Fu, Xiang and Wood, Brandon, Dzamba, Misko, and Gao, Meng and Rizvi, Ammar and  Zitnick, C. Lawrence and Ulissi, Zachary W.},
+  journal={arXiv preprint arXiv:2410.12771},
+  year={2024}
+}
+@article{schmidt_2023_machine,
+  title={Machine-Learning-Assisted Determination of the Global Zero-Temperature Phase Diagram of Materials},
+  author={Schmidt, Jonathan and Hoffmann, Noah and Wang, Hai-Chen and Borlido, Pedro and Carri{\c{c}}o, Pedro JMA and Cerqueira, Tiago FT and Botti, Silvana and Marques, Miguel AL},
+  journal={Advanced Materials},
+  volume={35},
+  number={22},
+  pages={2210788},
+  year={2023},
+  url={https://onlinelibrary.wiley.com/doi/full/10.1002/adma.202210788},
+  publisher={Wiley Online Library}
+}
 ```

docs/core/model_checkpoints.md

@@ -181,7 +181,7 @@ Please consider citing the following paper in any research manuscript using the
 
 ## Open Materials 2024 (OMat24)
 
-* All config files for the OMat24 models are available in the [`configs/odac`](https://github.com/FAIR-Chem/fairchem/tree/main/configs/omat24) directory.
+* All config files for the OMat24 models are available in the [`configs/omat24`](https://github.com/FAIR-Chem/fairchem/tree/main/configs/omat24) directory.
 * All models are equiformerV2 S2EFS models
 
 **Note** in order to download any of the model checkpoints from the links below, you will need to first request access

src/fairchem/core/datasets/base_dataset.py

@@ -58,7 +58,7 @@ def __init__(self, config: dict):
             if isinstance(config["src"], str):
                 self.paths = [Path(self.config["src"])]
             else:
-                self.paths = tuple(Path(path) for path in config["src"])
+                self.paths = tuple(Path(path) for path in sorted(config["src"]))
 
         self.lin_ref = None
         if self.config.get("lin_ref", False):