Update README.md

CodingRadish · Nov 2, 2024 · 8e59282 · 8e59282
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 # PINN - coffee example
 
-A simple implementation of a Physics-Informed Neural Network (PINN) to predict the temperature of a cooling coffee cup, based on [[1](#references)].
+A simple implementation of a Physics-Informed Neural Network (PINN) to predict the temperature of a cooling cup of coffee, based on [[1](#references)].
 
 ## Premise
 
@@ -24,4 +24,4 @@ We include the PDE, the equation presented above, in the loss function of the NN
 
 ## References
 
-[1] [Physics-informed Neural Networks: a simple tutorial with PyTorch](https://medium.com/@theo.wolf/physics-informed-neural-networks-a-simple-tutorial-with-pytorch-f28a890b874a)
+[1] [Physics-informed Neural Networks: a simple tutorial with PyTorch](https://medium.com/@theo.wolf/physics-informed-neural-networks-a-simple-tutorial-with-pytorch-f28a890b874a)