[1] Y. Dong#, C. Wu#, C. Zhang, Y. Liu, J. Cheng*, J. Lin*. Bandgap prediction by deep learning in configurationally hybridized graphene and boron nitride. npj Computational Materials, 2019, 5, 26. (中科院一区,影响因子13.21. 被中国日报、海外网-人民日报海外版, ScienceDaily, Phys.org等中外媒体广泛报道)
[2] Y. Dong, Dynamical Analysis of Non-Fourier Heat Conduction and Its Application in Nanosystems, Berlin: Springer, 2015. (入选Springer出版社世界优秀博士论文丛书)
[3] Y. Dong#, D. Li#, C. Zhang, C. Wu, H. Wang, M. Xin, J. Cheng, J. Lin*. Inverse design of two-dimensional graphene/h-BN hybrids by a regressional and conditional GAN. Carbon, 2020, 169, 9-16. (中科院一区,影响因子9.594,被科技日报报道)
[4] X. Zang, Y. Dong, C. Jian, N. Ferralis, J. C. Grossman. Upgrading carbonaceous materials: Coal, tar, pitch, and beyond. Matter, 2022, 5, 430–447. (中科院一区,影响因子15.59,与清华大学、麻省理工学院学者共同研究人工智能在碳材料升级方面的应用)
[5] R. Y. Dong, Y. Dong*, A. Sellitto*. An analogy analysis between one-dimensional non-Fourier heat conduction and non-Newtonian flow in nanosystems. International Journal of Heat and Mass Transfer, 2021, 164, 120519. (中科院一区,影响因子5.584)