部分代表性成果如下： 1.Teng Long*, Yixuan Zhang, Nuno M. Fortunato, Chen Shen, Mian Dai & Hongbin Zhang*."Inverse design of crystal structures for multicomponent systems." Acta Materialia 231 (2022): 117898. 2.Teng Long*, Nuno M. Fortunato, Ingo Opahle, Yixuan Zhang, Ilias Samathrakis, Chen Shen, Oliver Gutfleisch & Hongbin Zhang*. "Constrained crystals deep convolutional generative adversarial network for the inverse design of crystal structures." npj Computational Materials 7.1 (2021): 1-7. 3.Teng Long, Nuno M. Fortunato, Yixuan Zhang, Oliver Gutfleisch & Hongbin Zhang*. "An accelerating approach of designing ferromagnetic materials via machine learning modeling of magnetic ground state and Curie temperature." Materials Research Letters 9.4 (2021): 169-174. 4.Yixuan Zhang, Chen Shen, Teng Long & Hongbin Zhang*. "Thermal conductivity of h-BN monolayers using machine learning interatomic potential." Journal of Physics: Condensed Matter 33.10 (2020): 105903. 5.Ilias Samathrakis, Teng Long, Zeying Zhang, Harish K Singh & Hongbin Zhang. "Enhanced anomalous Nernst effects in ferromagnetic materials driven by Weyl nodes." Journal of Physics D: Applied Physics 55.7 (2021): 074003. 6.Hongbin Zhang, Teng Long, Yixuan Zhang, Nuno M. Fortunato, Chen Shen & Oliver Gutfleisch. "CCDCGAN: Deep learning prediction of crystal structures." ACTA CRYSTALLOGRAPHICA A-FOUNDATION AND ADVANCES. Vol. 77. 2 ABBEY SQ, CHESTER, CH1 2HU, ENGLAND: INT UNION CRYSTALLOGRAPHY, 2021. 7.Chen Shen, Niloofar Hadaeghi, Harish K. Singh, Teng Long, Ling Fan, Guangzhao Qin* & Hongbin Zhang*. “Two-dimensional buckling structure induces the ultra-low thermal conductivity: a comparative study of the group GaX (X = N, P, As).” Journal of Materials Chemistry C 10.4(2022):1436-1444 8.Yi Xiao, Chen Shen, and Teng Long. "Theoretical establishment and screening of an efficient catalyst for N2 electroreduction on two-dimensional transition-metal borides (MBenes)." Chemistry of Materials 33.11 (2021): 4023-4034. |
