Update README.md

README.md

@@ -9,7 +9,7 @@ Nature Communications, 13(1), May 2022. ISSN: 2041-1723. URL: https://dx.doi.org
 
 ## How to Use
 
-For complete usage instructions, please refer to our [documentation](https://instadeep.github.io/mlip)
+For complete usage instructions, please refer to our [documentation](https://instadeepai.github.io/mlip)
 
 ## Model architecture
 | Parameter                 | Value                                         | Description                                 |
@@ -27,7 +27,7 @@ For complete usage instructions, please refer to our [documentation](https://ins
 | `avg_um_neighbors`        | `None`                                        | Mean number of neighbors.                   |
 
 For more information about NequIP hyperparameters, 
-please refer to our [documentation](https://instadeep.github.io/mlip/api_reference/models/nequip.html#mlip.models.nequip.config.NequipConfig)
+please refer to our [documentation](https://instadeepai.github.io/mlip/api_reference/models/nequip.html#mlip.models.nequip.config.NequipConfig)
 
 ## Training
 
@@ -49,7 +49,7 @@ We use our default MLIP optimizer in v1.0.0 with the following settings:
 | `num_gradient_accumulation_steps`| `1`            | Steps to accumulate before taking an optimizer step.            |
 
 For more information about the optimizer, 
-please refer to our [documentation](https://instadeep.github.io/mlip/api_reference/training/optimizer.html#mlip.training.optimizer_config.OptimizerConfig)
+please refer to our [documentation](https://instadeepai.github.io/mlip/api_reference/training/optimizer.html#mlip.training.optimizer_config.OptimizerConfig)
 ## Dataset
 | Parameter                   | Value | Description                                |
 |-----------------------------|-------|--------------------------------------------|
@@ -60,7 +60,7 @@ please refer to our [documentation](https://instadeep.github.io/mlip/api_referen
 
 This model was trained on the [SPICE2_curated dataset](https://huggingface.co/datasets/InstaDeepAI/SPICE2-curated).
 For more information about dataset configuration
-please refer to our [documentation](https://instadeep.github.io/mlip/api_reference/data/dataset_configs.html#mlip.data.configs.GraphDatasetBuilderConfig)
+please refer to our [documentation](https://instadeepai.github.io/mlip/api_reference/data/dataset_configs.html#mlip.data.configs.GraphDatasetBuilderConfig)
 ## License summary
 
 1. The Licensed Models are **only** available under this License for Non-Commercial Purposes.