超快激光诱导<strong>Cu</strong>薄膜熔化的神经网络分子动力学研究

超快激光诱导Cu薄膜熔化的神经网络分子动力学研究

高天雨, 曾启昱, 陈博, 康冬冬, 戴佳钰

Neural Network Molecular Dynamics Study of Ultrafast Laser-Induced Melting of Copper Nanofilms

GAO Tianyu, ZENG Qiyu, CHEN Bo, KANG Dongdong, DAI Jiayu

表2 使用DP模型得到的Cu的晶格常数(a₀)、熔点(T_m)、相变潜热(ΔH_m)、熔化阈值(ε_m)及其与实验值^{[48,51,53~56]}的对比

Table 2 Lattice constant (a₀), melting point (T_m), latent heat of phase transition (ΔH_m), and melting threshold (ε_m) of Cu obtained by using deep potential, and experimental results^{[48,51,53-56]} for comparison

Item	a₀ / nm	T_m / K	ΔH_m / (kJ·kg^-1)	ε_m / (kJ·kg^-1)
Relative error / %	1.12	0.39	0.52	0.40
DP result	0.3655	1275 ± 25	232.3 ± 11.2	658.7 ± 49.1
Experiment result	0.3615^[48]	1280^[51]	231.1^[53]	661.3^[51,53-56]