科技成果

重点成果

发布时间:2026-06-24  | |

1. YANG R, LUO Z-R, LIU H. Limitations and improvements in low-frequency performance of phasemeter for space gravitational wave detection [J]. Measurement, 2026, 260: 119825.   https://www.sciencedirect.com/science/article/pii/S0263224125014243

2. LIU H, WANG J, TAO W, et al. Recent Development of the Laser Interferometer for Taiji Space Gravitational Wave Detection [J]. Research, 2026, 9: 1252.   https://spj.science.org/doi/full/10.34133/research.1252

3. Zhao, Mengyang; Shen, Jia; Wang, Shaoxin; Qi, Keqi, et al. Experimental Demonstration of Geometric Tilt-to-Length Noise Model in Test Mass Interferometer[J]. SENSORS, 2026, 26: 4111.    https://doi.org/10.3390/s26134111

4. Liang, Bo; Liu, Chang; Song, Hanlin, et al. Estimating orbital parameters of direct imaging exoplanet using neural networks[J]. PHYSICAL REVIEW RESEARCH, 2026, 8: 023341.   https://doi.org/10.1103/ykfh-cdzk

5. Diao, Qing; Wang, Hongxin; Liang, Manjia, et al. Source confusion of massive black-hole binaries for the Taiji mission[J]. PHYSICAL REVIEW D, 2026, 113:123057.   https://journals.aps.org/prd/abstract/10.1103/15ln-mtps

6. Zhang, Haoyue; Ye, Dong; Xu, Peng, et al. Calibration Method of Spacecraft-Inertial Sensor Center-of-Mass Offset for the Taiji Gravitational Wave Detection Mission under Science Mode[J]. AEROSPACE SCIENCE AND TECHNOLOGY, 2026, 177:112707.   https://doi.org/10.1016/j.ast.2026.112707

7. Liang, Bo; Liu, Chang; Zhao, Tianyu; Du, Minghui, et al. Accelerating Stochastic Gravitational Wave Backgrounds Parameter Estimation in Pulsar Timing Arrays with Flow Matching[J]. PHYSICS LETTERS B, 2026, 1028:140551.   https://doi.org/10.1016/j.physletb.2026.140551

8. Yuan, Yong; Du, Minghui; Zhu, Benyang, et al. An Opacity-free Test of the Cosmic Distance Duality Relation Using Strongly Lensed Gravitational-wave Signals with Space-based Detector Networks[J]. ASTROPHYSICAL JOURNAL, 2026, 1001:175.   https://doi.org/10.3847/1538-4357/ae5658

9. Zhang, Haoyue; Liu, Chang; Wei, Xiaotong; Xu, Peng, et al. Calibration of key parameters during the in-orbit phase for the Taiji-2 gravitational reference sensor[J]. PHYSICAL REVIEW APPLIED, 2026, 25:044043.   https://doi.org/10.1103/1bmr-zx57

10. Liu, Yong-Yong; Zhang, Jing-Rui; Du, Ming-Hui, et al. Detectability of axion-like dark matter for different time-delay interferometry combinations in space-based gravitational wave detectors[J]. EUROPEAN PHYSICAL JOURNAL C, 2026, 86:347.   https://doi.org/10.1140/epjc/s10052-026-15578-3

11. Du Minghui, Xu Peng, Wu Yue-Liang. Towards Realistic Detection Pipelines of Taiji: New Challenges in Data Analysis and High-Fidelity Simulations of Space-Based Gravitational Wave Antenna[J]. SCIENCE CHINA-PHYSICS MECHANICS & ASTRONOMY, 2026, 69:249501.   http://link.springer.com/article/10.1007/s11433-025-2870-8     

12. Qiong Deng, Minghui Du, Peng Xu, Liang Huang, Ziren Luo. Extending the micro-Hertz detection horizons via hidden orbital resonance effect for geocentric gravitational wave antennas[J]. The Astrophysical Journal, 2026, 998:234.    http://doi.org/10.3847/1538-4357/ae3537

13. Fan, Mengyu; Du, Minghui; Yang, Run, et al.  Experimental Validation of Time-Delay Interferometry for Space-borne Gravitational-Wave Detectors Using Electro-Optic Modulation[J]. CLASSICAL AND QUANTUM GRAVITY, 2026, 43:125016.   https://doi.org/10.1088/1361-6382/ae7ba9

14. Yong Yuan, Minghui Du, Xin-yi Lin, Peng Xu, Xilong Fan. Bayesian Analysis of Wave-Optics Gravitationally Lensed Massive Black Hole Binaries with Space-Based Gravitational Wave Detector[J]. The Astrophysical Journal, 2026, 997:11.   http://iopscience.iop.org/article/10.3847/1538-4357/ae29ad

15. Qin, Weichen; Xie, Yufan; Wang, Peihao; Chou, Chia-Jui; Du, Minghui; Xu, Peng; Luo, Ziren; Yang, Yi; Yu, Jingyi; Liang, Bo; Zhang, Jiakai. FUSE: FK-Steered Multi-Modal Flow Matching for Efficient Simulation-Based Posterior Estimation[C]. ICML 2026.   https://openreview.net/forum?id=evIBAgZPjC

16. Bo Liang, Chang Liu, Hanlin Song, et al. Toward Efficient and Accurate EMRI Parameter Estimation: A Machine Learning-Enhanced MCMC Framework[J]. Research, 2025, 9:1055.  http://spj.science.org/doi/10.34133/research.1055

17.  Du, Minghui; Luo, Ziren; Xu, Peng. Enhancing Taiji's parameter estimation under nonstationarity: A time-frequency domain framework for Galactic binaries and instrumental noises[J]. PHYSICAL REVIEW D, 2025, 112:083036.   https://doi.org/10.1103/gpmh-1hqx

18.  Liang, Jiaxiang; Xu, Peng; Du, Minghui; Luo, Ziren. Primordial Black Holes Formed during Magneto-Hydrodynamic Turbulence in The Early Universe as Dominant Part of Dark Matter[J]. CHINESE PHYSICS LETTERS, 2025, 42:111101.   https://doi.org/10.1088/0256-307X/42/11/111101

19. He, KeJian; Ye, Huan; Zeng, XiaoXiong, et al.  The shadow and accretion disk images of the rotation loop quantum black bounce[J]. CHINESE PHYSICS C, 2025, 49:125103.   https://doi.org/10.1088/1674-1137/adf4a2

20. Liang, Bo; Guo, Hong; Zhao, Tianyu, et al.  Unlocking New Paths for Efficient Analysis of Gravitational Waves from Extreme-Mass-Ratio Inspirals with Machine Learning[J]. CHINESE PHYSICS LETTERS, 2025, 42:081101. https://doi.org/10.1088/0256-307X/42/8/081101

21. Chen, Gang; Guo, Sen; Li, Jia-Shuo, et al.  Influences of accretion flow and dilaton charge on the images of Einstein-Maxwell-dilation black holes[J]. SCIENCE CHINA-PHYSICS MECHANICS & ASTRONOMY, 2025,  68:260413. https://doi.org/10.1007/s11433-024-2626-5

22. Zhao, Tianyu; Zhou, Yue; Shi, Ruijun, et al.  Compact binary coalescence gravitational wave signal counting and separation[J]. PHYSICAL REVIEW D, 2025, 111:104028.   https://doi.org/10.1103/PhysRevD.111.104028

23. Xu, Yuxiang; Wang, He; Du, Minghui; Liang, Bo; Xu, Peng. Gravitational wave signal denoising and merger time prediction with a deep neural network[J]. PHYSICAL REVIEW D, 2025, 111:063037.   https://doi.org/10.1103/PhysRevD.111.063037

24. Yuan, Yong; Wang, Ao-Ran; Li, Zhuo-Tao, et al.  Waveform Reconstruction of Core-Collapse Supernova Gravitational Waves with Improved Multisynchrosqueezing Transform[J]. MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, 2025, 538:820.     https://doi.org/10.1093/mnras/staf351

25. Li, Haosi; Xu, Peng; Tang, He; Yi, Shuang. Revisiting GRACE Follow-On KBR Antenna Phase Center Calibration by Addressing Multipath Noise[J]. REMOTE SENSING, 2025, 17:353.   https://doi.org/10.3390/rs17030353

26. Zeng, Xiao-Xiong; Li, Li-Fang; Li, Pan; Liang, Bo; Xu, Peng. Holographic images of a charged black hole in Lorentz symmetry breaking massive gravity[J]. SCIENCE CHINA-PHYSICS MECHANICS & ASTRONOMY, 2025, 68:220412.   https://doi.org/10.1007/s11433-024-2526-4 

27. Chen, Ying-Jian; Xu, Peng; Wu, Yue-Liang. Post-newtonian tests of gravitational quantum field theory with spin and scaling gauge symmetry[J]. EUROPEAN PHYSICAL JOURNAL C, 2025, 85:228.   https://doi.org/10.1140/epjc/s10052-025-13993-6

28. Chen, Gang; He, Ke-Jian; Zeng, Xiao-Xiong; Liang, Man-Jia; Li, Li-Fang; Li, Pan; Xu, Peng. Holographic Einstein ring of charged phantom AdS black hole[J]. FRONTIERS OF PHYSICS, 2025, 20:035203.   https://doi.org/10.15302/frontphys.2025.035203

29. Wang, Yu-Xin; Wei, Xiaotong; Li, Chun-Yue, et al.  Search for exotic gravitational wave signals beyond general relativity using deep learning[J]. PHYSICAL REVIEW D, 2025, 112:024030. https://doi.org/10.   https://doi.org/10.1103/f85k-wtph

30. Shi, Ruijun; Zhou, Yue; Zhao, Tianyu, et al.  Rapid eccentric spin-aligned binary black hole waveform generation based on deep learning[J]. PHYSICAL REVIEW D, 2025, 111:044016.   https://doi.org/10.1103/PhysRevD.111.044016

31. YANG R, LIU H, LUO Z. Optimization Design of Decimation Filter for the Phasemeter in the Space Gravitational Wave Detection [J]. IEEE Trans Instrum Meas, 2024, 73: 1.    https://ieeexplore.ieee.org/document/10663443

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