FACULTY

Assistant Professor

Office: Room 348, Nanyong Building

Email: zhaoyang.ma@nju.edu.cn

Education

2017-2021 Monash University, PhD, Civil Engineering

2011-2015 China University of Mining and Technology, Bachelor, Mining Engineering (Sunyueqi Honor School)

Professional Appointment:

2024-Present Assistant Professor & Ph.D. Supervisor, School of Sustainable Energy and Resources, Nanjing University

2022-2024 Postdoctoral Researcher, King Abdullah University of Science and Technology

Research Areas:

Enhanced Geothermal System, Rock Mechanics, Underground hydrogen/CO₂ storage, Digital Rock Physics, Deep Learning, etc.

Professional Services

· Youth Editorial Board Member, Deep Underground Science and Engineering

· Editorial Board Member, Green and Smart Mining Engineering

· Scientific Editor, Third Edition, International Journal of Coal Science & Technology

Awards and Honors

2022 Shanghai Leading Talent

2015 Outstanding Graduate, China University of Mining and Technology

Selected Publications (*: Corresponding author)

1. Ma, Zhaoyang, Chengpeng Zhang, Ranjith Pathegama Gamage, and Guanglei Zhang. Uncovering the creep deformation mechanism of rock-forming minerals using nanoindentation. International Journal of Mining Science and Technology 32, no. 2 (2022): 283-294.

2. Ma, Zhaoyang, Ranjith Pathegama Gamage, and Chengpeng Zhang. Mechanical properties of α-quartz using nanoindentation tests and molecular dynamics simulations. International Journal of Rock Mechanics and Mining Sciences 147 (2021): 104878.

3. Ma, Zhaoyang, Ranjith Pathegama Gamage, and Chengpeng Zhang. Effects of temperature and grain size on the mechanical properties of polycrystalline quartz. Computational Materials Science 188 (2021): 110138.

4. Ma, Zhaoyang, Ranjith Pathegama Gamage, and Chengpeng Zhang. Application of nanoindentation technology in rocks: a review. Geomech. Geophys. Geo-energ. Geo-resour. 6: 60. (2020).

5. Ma, Zhaoyang, and Ranjith Pathegama Gamage. Review of application of molecular dynamics simulations in geological sequestration of carbon dioxide. Fuel 255 (2019): 115644.

6. Ma, Zhaoyang, Ranjith Pathegama Gamage, Tharaka Rathnaweera, and Lie Kong. Review of application of molecular dynamic simulations in geological high-level radioactive waste disposal. Applied Clay Science 168 (2019): 436-449.

7. Ma, Zhaoyang, Xupeng He, Hyung Kwak, Jun Gao, Shuyu Sun, and Bicheng Yan. Enhancing rock image segmentation in digital rock physics: a fusion of generative AI and state-of-the-art neural networks. arXiv preprint arXiv:2311.06079 (2023).

8. Ma, Zhaoyang, Xupeng He, Shuyu Sun, Bicheng Yan, Hyung Kwak, and Jun Gao. Zero-shot digital rock image segmentation with a fine-tuned segment anything model. arXiv preprint arXiv:2311.10865 (2023).

9. Zhang, C. P., Cheng, P., Ma, Zhaoyang*, Ranjith, P. G., & Zhou, J. P. (2021). Comparison of fracturing unconventional gas reservoirs using CO₂ and water: An experimental study. Journal of Petroleum Science and Engineering, 203, 108598.

10. P Cheng, Zhang, C. P.*, Ma, Zhaoyang*, Zhou, J. P., Zhang D.C., Liu X.F., H Chen, Ranjith, P. G. (2021). Experimental study of micromechanical properties alterations of shale matrix treated by ScCO₂-Water saturation using nanoindentation tests. Energy, 242, 122965.

11. Zhang, C. P., Liu, S., Ma, Zhaoyang*, & Ranjith, P. G. (2021). Combined micro-proppant and supercritical carbon dioxide (SC-CO₂) fracturing in shale gas reservoirs: A review. Fuel, 305.

12. Zhang, G., Ranjith, P. G., Li, Z., Gao, M., & Ma, Zhaoyang* (2021). Long-term effects of CO₂-water-coal interactions on structural and mechanical changes of bituminous coal. Journal of Petroleum Science and Engineering, 109093.

13. Zhang, Z., Qin, J., Ma, Zhaoyang, Pang, X., & Zhou, Y. (2023). Comparison of three different deconvolution methods for analyzing nanoindentation test data of hydrated cement paste. Cement and Concrete Composites, 104990.

14. Ma, Zhaoyang, Shuyu Sun, Bicheng Yan, Hyung Kwak; Jun Gao. Enhancing the resolution of micro-CT images of rock samples via unsupervised machine learning based on a diffusion model, SPE Annual Technical Conference and Exhibition, 2023.