解决方法：

1.首先从知网或者谷歌学术中搜索相关关键字的论文根据时间排列（最新的在前面）。然后多选选中自己想要引用的论文（一般近三年的论文要占2/3），然后导出参考文献

[19] Lu L, Jin P, Karniadakis G E. DeepONet: Learning nonlinear operators for identifying differential equations based on the universal approximation theorem of operators[J]. arXiv preprint arXiv:1910.03193, 2019.

[20] Chen T, Chen H. Universal approximation to nonlinear operators by neural networks with arbitrary activation functions and its application to dynamical systems[J]. IEEE transactions on neural networks, 1995, 6(4): 911-917.

[21] Garg S, Gupta H, Chakraborty S. Assessment of DeepONet for reliability analysis of stochastic nonlinear dynamical systems[J]. arXiv preprint arXiv:2201.13145, 2022.

[22] Lin C, Maxey M, Li Z, Karniadakis G E. A seamless multiscale operator neural network for inferring bubble dynamics[J]. Journal of Fluid Mechanics, 2021, 929.

[23] Goswami S, Yin