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metatensor · Feb 8, 2024 · 2bdb5cb · 2bdb5cb
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diff --git a/README.rst b/README.rst
@@ -64,9 +64,10 @@ atomistic model.
 
    * - SOAP BPNN
      - A Behler-Parrinello neural network with SOAP features
-     
+
    * - Alchemical Model
-     - A Behler-Parrinello neural network with SOAP features and Alchemical Compression of the composition space
+     - A Behler-Parrinello neural network with SOAP features
+       and Alchemical Compression of the composition space
 
 .. marker-documentation
 

diff --git a/docs/src/architectures/alchemical-model.rst b/docs/src/architectures/alchemical-model.rst
@@ -3,14 +3,18 @@
 Alchemical Model
 =========
 
-This is an implementation of Alchemical Model: a Behler-Parrinello neural network 
-with SOAP features and Alchemical Compression of the composition space. This model 
-is extremely useful for simulating systems with large amount of chemical elements. 
+This is an implementation of Alchemical Model: a Behler-Parrinello neural network
+with SOAP features and Alchemical Compression of the composition space. This model
+is extremely useful for simulating systems with large amount of chemical elements.
 
 For further details, please refer to the original papers:
-- Willatt, Michael J., Félix Musil, and Michele Ceriotti. "Feature optimization for atomistic machine learning yields a data-driven construction of the periodic table of the elements." Physical Chemistry Chemical Physics 20.47 (2018): 29661-29668.
-- Lopanitsyna, Nataliya, et al. "Modeling high-entropy transition metal alloys with alchemical compression." Physical Review Materials 7.4 (2023): 045802.
-- Mazitov, Arslan, et al. "Surface segregation in high-entropy alloys from alchemical machine learning." arXiv preprint arXiv:2310.07604 (2023).
+- Willatt, Michael J., Félix Musil, and Michele Ceriotti. "Feature optimization for
+  atomistic machine learning yields a data-driven construction of the periodic table of
+  the elements." Physical Chemistry Chemical Physics 20.47 (2018): 29661-29668.
+- Lopanitsyna, Nataliya, et al. "Modeling high-entropy transition metal alloys with
+  alchemical compression." Physical Review Materials 7.4 (2023): 045802.
+- Mazitov, Arslan, et al. "Surface segregation in high-entropy alloys from alchemical
+  machine learning." arXiv preprint arXiv:2310.07604 (2023).
 
 
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