多尺度晶体材料的原位表征技术与计算模拟研究进展

陈昆峰, 胡乾宇, 刘锋, 薛冬峰

Multi-scale Crystallization Materials: Advances in in-situ Characterization Techniques and Computational Simulations

CHEN Kunfeng, HU Qianyu, LIU Feng, XUE Dongfeng

图7 基于人工智能预测生长炉内状态, 平均预测时间可达到0.0003 s[78]

Fig. 7 Based on artificial intelligence, the average prediction time of the growth furnace state reaching 0.0003 s[78]