Researchers at Texas A&M University Introduces ComFormer: A Novel Machine Learning Approach for Crystal Material Property Prediction

The search for rapid discovery and materials characterization with tailored properties has recently intensified. One of the central aspects of this research is the understanding of crystal structures, which are inherently complex due to their periodic and infinite nature. This complexity presents a formidable challenge in accurately modeling and predicting material properties, a challenge that […]

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