倪冬冬,1986年11月出生,现为南京大学深空探测科学与技术研究院教授、博士生导师,江苏特聘教授,苏州创新创业领军人才,中国地球物理学会第三届行星物理专业委员会副主任委员,第二届青年行星论坛理事会理事,国际深空探测学会会员,期刊《地球与行星物理论评》编委,《Earth and Planetary Physics》青年编委。2008年获得南京大学物理学院学士学位,2012年获得南京大学物理学院博士学位,2013年至2015年在南京大学电子科学与工程学院从事博士后研究,2015年至2023年在澳门科技大学月球与行星科学国家重点实验室担任助理教授/副教授,2017年1至3月在美国加州大学洛杉矶分校访问研究。曾获国家级青年人才项目资助。
S. Luo, C. N. Jia, and D. D. Ni*. Static effects of differential rotation on Jupiter's shape, gravity field, and interior structure. Astronomy&Astrophysics, 707, A113, 2026.
W. Zhong, Z. T. Zhang, B. Ma, X. Y. Tan, D. D. Ni*, and C. Yu*. Irradiated Atmosphere. V. Effects of Vertical-mixing Induced Energy Transport on the Inhomogeneity. The Astrophysical Journal, 998, 256, 2026.
X. X. Chen and D. D. Ni*. Refractory element abundances in rocky planets and their host stars: Revisiting the compositional link. Astronomy&Astrophysics, 704, A108, 2025.
Y. L. Wang, J. Y. Shi, Z. X. Liang, T. H. Huang, J. J. Wang, C. Ding*, C. J. Pickard, H. T. Wang, D. Y. Xing, D. D. Ni*, and J. Sun*. Machine Learning simulations reveal oxygen’s phase diagram and thermal properties at conditions relevant to white dwarfs. Nature Communications, 15, 5504, 2025.
W. Zhong, Z. T. Zhang, B. Ma, X. Y. Tan, D. D. Ni*, and C. Yu*. Irradiated Atmospheres. III. Radiative-convective-mixing Equilibrium for Nongray Picket-fence Model. The Astrophysical Journal, 984, 187, 2025.
M. M. Zhang*, D. D. Ni*, Z. C. Zhang. Tuning 1,3-dioxolane concentration for optimized methane storage in sII hydrates. The Journal of Chemical Physics, 163, 214505, 2025.
Y. Zhao, Z. B. Liu, D. D. Ni*, Z. Y. Chen. Comparison of machine-learning and Bayesian inferences for the interior of rocky exoplanets with large compositional diversity. The Astrophysical Journal Supplement, 272, 35, 2024.
M. M. Zhang and D. D. Ni*. Evaluating the Gas Storage Capacity of 1,3-Dioxolane-Hydrogen Binary Hydrates via Molecular Simulations. Journal of Molecular Liquids 393, 123542, 2024.
Y. Zhao, D. D. Ni*, and Z. B. Liu. Machine learning inferences of the interior structure of rocky exoplanets from bulk observational constraints. The Astrophysical Journal Supplement, 269, 1, 2023.
H. Q. Song, J. Zhang, Y. Liu, Y. Q. Sun, and D. D. Ni*. Investigation on in situ thermal mining of shallow excess ice at Martian northern midlatitude. Advances in Space Sciences, 72, 4997, 2023.
Z. B. Liu and D. D. Ni*. Quantitative correlation of refractory elemental abundances between rocky exoplanets and their host stars. Astronomy&Astrophysics, 674, A137, 2023.
H. Q. Song, J. Zhang, S. Y. Du, D. D. Ni*, Y. Liu, Y. Q. Sun. Constraining the thermal inertia of Mars utilizing machine learning techniques. Monthly Notices of the Royal Astronomical Society, 522, 1697, 2023.
Y. L. Hao and D. D. Ni*. Dineutron decay into sterile anti-neutrinos in neutron stars and its observable consequences. Physics Review D, 107, 035026, 2023.
M. M. Zhang, D. D. Ni*, and Z. C. Zhang*. What makes 1, 3-dioxolane an efficient sII hydrate former? Fuel, 334, 126714, 2023.
H. Q. Song, J. Zhang, Y. Liu, Y. Q. Sun, and D. D. Ni*. Modeling the distribution of subsurface seasonal water ice with varying atmospheric conditions at northern low to midlatitudes on Mars. Icarus 389, 115262, 2023.
Y. L. Hao and D. D. Ni*. Neutron-neutral particle mixing and its observable consequences. Physics Review D, 106, 115028, 2022.
M. M. Zhang, Z. C. Zhang*, and D. D. Ni*. Revealing the growth mechanism of sH hydrate by molecular simulations. Journal of Molecular Liquids 363, 119873, 2022.
Y. Zhao and D. D. Ni*. Understanding the interior structure of gaseous giant exoplanets with machine learning techniques. Astronomy&Astrophysics 658, A201, 2022.
N. Nettelmann, N. Movshovitz, D. D. Ni, J. J. Fortney, E. Galanti, Y. Kaspi, R. Helled, C. R. Mankovich, and S. Bolton. Theory of figures to the seventh order and the interiors of Jupiter and Saturn. The Planetary Science Journal 2, 241, 2021 (NASA JUNO Scientific Collaboration).
H. Q. Song, J. Zhang, D. D. Ni, Y. Q. Sun, Y. C. Zheng, J. Kou, X. G. Zhang, and Z. Y. Li. Investigation on in-situ water ice recovery considering energy efficiency at the lunar south pole. Applied Energy 298, 117136, 2021.
Y. Zhao and D. D. Ni*. Machine learning techniques in studies of the interior structure of rocky exoplanets. Astronomy&Astrophysics 650, A177, 2021.