chore: update package description

Author: adosar

docs/source/index.rst

@@ -13,7 +13,7 @@ About
 =====
 
 |aidsorb| is a :fa:`python; fa-fade` Python package for **deep learning on
-molecular point clouds**.
+porous materials**.
 
 .. grid:: 4
 

pyproject.toml

@@ -20,7 +20,7 @@ authors = [
 ]
 license = "GPL-3.0-only"
 
-description = "Python package for deep learning on molecular point clouds."
+description = "Python package for deep learning on porous materials."
 readme = "README.md"
 requires-python = ">=3.11"
 classifiers = [
@@ -38,7 +38,7 @@ dependencies = [
     "jsonargparse[signatures]>=4.39.0",
     "torchmetrics>=1.7.1",
     "numpy>=1.26.4",
-    "pymoxel>=0.5.0.post0",
+    "pymoxel>=0.5.0.post2",
 ]
 
 [project.urls]

src/aidsorb/__init__.py

@@ -16,18 +16,7 @@
 
 r"""
 **AIdsorb** is a :fa:`python; fa-fade` Python package for **deep learning on
-molecular point clouds**.
-
-
-.. admonition:: AIdsorb adopts the following conventions
-
-    * A ``pcd`` is represented as a :class:`~numpy.ndarray` or
-      :class:`~torch.Tensor` of shape ``(N, 3+C)``.
-    * A molecular ``pcd`` is represented as a :class:`~numpy.ndarray` or
-      :class:`~torch.Tensor` of shape ``(N, 4+C)``, where ``N`` is the number of
-      atoms, ``pcd[:, :3]`` are the **atomic coordinates**, ``pcd[:, 3]`` are
-      the **atomic numbers** and ``pcd[:, 4:]`` any **additional features**. If
-      ``C == 0``, then the only features are the atomic numbers.
+porous materials**.
 """
 
 __author__ = 'Antonios P. Sarikas'