FBformer: A four-body feature enhanced periodic graph transformer for crystal property prediction

Key Points

• Improved predictions of crystal properties are achieved using a graph transformer model.
• The method enhances feature extraction by integrating four-body interactions effectively.
• This approach leverages advanced machine learning techniques in periodic structures for better outcomes.
• Evidence suggests that this model significantly contributes to the field of material science and property prediction.