Fix model loading.

Author: shyuep

README.md

@@ -85,7 +85,7 @@ follows:
 ```python
 import matgl
 
-potential = matgl.load_model("TensorNet-MatPES-PBE-v2025.2-PES")
+potential = matgl.load_model("TensorNet-PES-MatPES-PBE-2025.2")
 ```
 
 Model names follow the format `<architecture>-<dataset>-<dataset-version>-PES`.
@@ -95,7 +95,7 @@ These FPs can be used easily with the [MatCalc] package to rapidly compute prope
 ```python
 from matcalc.elasticity import ElasticityCalc
 
-calculator = ElasticityCalc("TensorNet-MatPES-PBE-v2025.2-PES")
+calculator = ElasticityCalc("TensorNet-PES-MatPES-PBE-2025.2")
 calculator.calc(structure)
 ```
 

assets/Using Pre-Trained Models with MatCalc.md

@@ -6,7 +6,7 @@ from matcalc.elasticity import ElasticityCalc
 from matgl.ext.ase import PESCalculator
 from pymatgen.ext.matproj import MPRester
 
-potential = matgl.load_model("TensorNet-MatPES-PBE-v2025.2-PES")
+potential = matgl.load_model("TensorNet-PES-MatPES-PBE-2025.2")
 ase_calc = PESCalculator(potential)
 calculator = ElasticityCalc(ase_calc)
 ```

docs/index.md

@@ -54,7 +54,7 @@ MatPES PBE 2025.2 as follows:
 ```python
 import matgl
 
-potential = matgl.load_model("TensorNet-MatPES-PBE-v2025.2-PES")
+potential = matgl.load_model("TensorNet-PES-MatPES-PBE-2025.2")
 ```
 
 These FPs can be used easily with the [MatCalc] package to rapidly compute properties. For example:

pages/dataset.py

@@ -71,7 +71,7 @@
         -0.80624803, 30.26332391, -29.08163294
     ],
 
-    "matpes_id": "matpes-2025.2_30496_38",  // Unique MatPES identifier for this structure.
+    "matpes_id": "matpes-20240214_30496_38",  // Unique MatPES identifier for this structure.
 
     "bandgap": 0.0,  // DFT-calculated electronic band gap (eV).
     "functional": "r2SCAN",  // DFT exchange-correlation functional used.