Following the success of large language models, the concept of large materials models as deep-learning computational models for materials design has attracted great interest. Nevertheless, the task of ...
(a) A feasible route for developing large materials models capable of describing the structure-property relationship of materials. The universal materials model of DeepH accepts an arbitrary material ...
清华大学研究人员利用原创的深度学习密度泛函理论哈密顿量 (DeepH) 方法，发展出 DeepH 通用材料模型，并展示了一种构建「材料大模型」的可行方案，这一突破性进展为创新材料发现提供了新机遇 ...
近日，清华大学物理系徐勇、段文晖研究组利用其原创的深度学习密度泛函理论哈密顿量（DeepH）方法，发展出DeepH通用材料模型，并展示了一种构建“材料大模型”的可行方案，这一突破性进展 ...
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