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

Yang Li; Zhihui Wang; Wei Zhou; Rui Wang; Haiyan Zhang; Shu Zhan; Jiajia Xu

doi:10.1016/j.commatsci.2026.114566

February 1, 2026Computational Materials Science

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

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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.

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Implication

Observational analysis reveals improved crystal property predictions using a periodic graph transformer, suggesting enhanced accuracy for material science applications.

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Li et al. (2026) studied this question.

synapsesocial.com/papers/69a767febadf0bb9e87e32b0 https://doi.org/10.1016/j.commatsci.2026.114566

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

Key Points

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Implication

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Cite This Study

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

Key Points

No abstract yet

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Implication

Discussion

Cite This Study

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