Profile:

Shibing Chu

Associate Professor · Master’s Supervisor

School of Physics and Electronic Engineering
Jiangsu University · Zhenjiang, China

Shibing Chu works at the intersection of computational physics and artificial intelligence. His interests include deep learning, generative models for materials, quantum physics, artificial photosynthesis, strongly correlated electron systems, and infrared small-target detection.

Email: c⊙ujs.edu.cn
Address: Department of Physics and Electronic Engineering, Jiangsu University, Zhenjiang 212013, P. R. China
ORCID · Google Scholar · GitHub

Research Interests

AI for Science and physical modeling. Deep learning and electronic-structure methods, including density functional theory, for physical modeling and scientific problems.

Generative models and materials. Machine learning for materials design and optimization, including diffusion and conditional diffusion models for materials and chemical or drug molecules.

Computational and quantum physics. Quantum physics, artificial photosynthesis, and algorithmic and applied studies of strongly correlated electron systems.

AI agents and reinforcement learning. Domain-specific intelligent agents, generative approaches to strategy optimization, and reward design.

Computer vision. Deep learning for infrared small-target detection in complex scenes.

Prospective Students

Prospective international master’s students interested in interdisciplinary research are welcome to inquire. Academic master’s disciplines include physics and integrated circuit science and engineering; the professional master’s field includes optoelectronic information engineering.

The work brings together physics and computing, and offers preparation for research or careers involving machine learning, deep learning and artificial intelligence. Please use the email address above to get in touch.

Selected Publications

Selected work across generative modeling, materials and computational physics.

1. Xu, S.; Chu, S.*; Mrad, R.; Zhang, Z.; Li, Z.; Jiao, R.; Chen, Y.* “Discovery of 2D Materials via Symmetry-Constrained Diffusion Model.” The Journal of Physical Chemistry C, 129(14), 6794–6802, 2025. DOI · arXiv preprint.

2. Yue, T.; Lu, X.; Cai, J.; Chen, Y.; Chu, S.* “SDS-Net: Shallow–Deep Synergism-Detection Network for Infrared Small Target Detection.” IEEE Transactions on Geoscience and Remote Sensing, 63, 1–13, 2025. DOI.

3. Li, Z.; Mrad, R.; Jiao, R.; Huang, G.; Shan, J.; Chu, S.*; Chen, Y.* “Generative design of crystal structures by point cloud representations and diffusion model.” iScience, 28(1), 111659, 2025. DOI · arXiv preprint.

4. Cheng, S.; Li, Z.; Zhang, H.; Yan, X.; Chu, S.* “Discovery of magnesium-aluminum alloys by generative model and automatic differentiation approach.” Modelling and Simulation in Materials Science and Engineering, 32(4), 045008, 2024.

5. Wang, C.; Wan, Y.; Yang, S.; Xie, Y.; Chu, S.; Chen, Y.; Yan, X.* “Revealing the Untapped Potential of Photocatalytic Overall Water Splitting in Metal Organic Frameworks.” Advanced Functional Materials, 34(13), 2313596, 2024. DOI.

6. Chu, S. B.; Bovi, D.; Cappelluti, F.; Orellana, A. G.; Martin, H.; Guidoni, L.* “Effects of static correlation between spin centers in multicenter transition metal complexes.” Journal of Chemical Theory and Computation, 13(10), 4675–4683, 2017.

7. Chu, S. B.; Coccia, E.; Barborini, M.; Guidoni, L.* “Role of electron correlation along the water splitting reaction.” Journal of Chemical Theory and Computation, 12(12), 5803–5810, 2016.

Academic Experience

Associate Professor · Jiangsu University, China
May 2018–present

Lecturer · Jiangsu University, China
November 2017–April 2018

Postdoctoral Researcher · University of L’Aquila, Italy
October 2015–September 2017

Postdoctoral Researcher · Sapienza University of Rome, Italy

October 2014–September 2015

Short-term Research Visit · International School for Advanced Studies (SISSA), Trieste, Italy

November 10–14, 2015

Invited by Sandro Sorella for scientific collaboration, including study of quantum Monte Carlo methods and the TurboRVB program.

Education

Ph.D. in Theoretical Physics · School of Physical Science and Technology, Lanzhou University, China
September 2009–June 2014

Bachelor’s degree · School of Physical Science and Technology, Lanzhou University, China
September 2005–June 2009

Teaching Experience

• Group Theory and Its Application in Physics (graduate)

• Statistical Physics (undergraduate)

• Solid-State Physics (undergraduate)

• Computational Physics (graduate)

• Introduction to Condensed Matter Physics (graduate)

• Research Paper Reading and Writing (undergraduate)

• College Physics Experiments (undergraduate)

Research Funding

National Natural Science Foundation of China — Young Scientists Fund
Quantum many-body computational methods for low-energy spectra of cobalt–oxygen complexes.
Principal Investigator · January 2020–December 2021 · Completed

National Natural Science Foundation of China — Theoretical Physics Program
Monte Carlo methods for metal-assisted water splitting.
Principal Investigator · January–December 2018 · Completed

Jiangsu University Senior Talent Start-up Fund
Principal Investigator · Completed

State Key Laboratory of Infrared Science and Technology — Open Fund
Deep learning for infrared small-target recognition in complex scenes.
Principal Investigator · Listed as ongoing in 2026 records

Open-Source Projects

SCDM · Symmetry-constrained diffusion for two-dimensional materials.

CrystalDiffusion · Point-cloud-based crystal generation with diffusion models.

SDS-Net · Infrared small-target detection.

Teaching and Student Awards

Second Prize · School of Physics and Electronic Engineering Teaching Competition, 2022.

Student teams supervised: First Prize for an ultrasonic measurement project and Third Prize for an AI-assisted physics experiment system at the 11th National College Student Physics Experiment Competition, 2025.

About

I enjoy exploring the connections between physics and computing, and I am an enthusiast of open-source software and technology. I value scientific inquiry and the unexpected discoveries it can bring.

Complete Publication List

Entries are based on the existing profile. An asterisk indicates the designation used in the original list.

1. Yue, T.; Lu, X.; Cai, J.; Chen, Y.; Chu, S.* “SDS-Net: Shallow–Deep Synergism-Detection Network for Infrared Small Target Detection.” IEEE Transactions on Geoscience and Remote Sensing, 63, 1–13, 2025. DOI.

2. Lu, X.; Yue, T.; Cai, J.; Chen, Y.; Lv, C.; Chu, S.* “MSCA-Net: Multi-scale context aggregation network for infrared small target detection.” Optics & Laser Technology, 192, Part E, 113894, 2025. DOI.

3. Yue, T.; Lu, X.; Cai, J.; Chen, Y.; Chu, S.* “YOLO-MST: Multiscale deep learning method for infrared small target detection based on super-resolution and YOLO.” Optics & Laser Technology, 187, 112835, 2025. DOI · arXiv preprint.

4. Xu, S.; Chu, S.*; Mrad, R.; Zhang, Z.; Li, Z.; Jiao, R.; Chen, Y.* “Discovery of 2D Materials via Symmetry-Constrained Diffusion Model.” The Journal of Physical Chemistry C, 129(14), 6794–6802, 2025. DOI · arXiv preprint.

5. Li, Z.; Mrad, R.; Jiao, R.; Huang, G.; Shan, J.; Chu, S.*; Chen, Y.* “Generative design of crystal structures by point cloud representations and diffusion model.” iScience, 28(1), 111659, 2025. DOI · arXiv preprint.

6. Shi, S.; Chu, S.; Xie, Y.; Chen, Y. “The studies of topological phases and energy braiding of non-Hermitian models using machine learning.” Physica Scripta, 100(1), 015957, 2024.

7. Chu, S.; Li, Z.; Mrad, R.; Gao, Q.; Idrees, M.* “Universality of Optoelectronic and Thermoelectric Properties of Novel Two-Dimensional CrSiM2N (M = As, P and N = Se, Te) Monolayers and their vdWHs with MoTe2.” Solid State Communications, 115581, 2024.

8. Zhang, H.; Cheng, S.; Chen, Y.; Chu, S.* “Modulating electronic structure by interlayer spacing and twist on bilayer bismuthene.” Journal of Physics: Condensed Matter, 36(33), 335502, 2024. DOI.

9. Chu, S.; Gao, Q.* “Unveiling the Low-Lying Spin States of [Fe3S4] Clusters via the Extended Broken-Symmetry Method.” Molecules, 29(9), 2152, 2024.

10. Cheng, S.; Li, Z.; Zhang, H.; Yan, X.; Chu, S.* “Discovery of magnesium-aluminum alloys by generative model and automatic differentiation approach.” Modelling and Simulation in Materials Science and Engineering, 32(4), 045008, 2024.

11. Wang, C.; Wan, Y.; Yang, S.; Xie, Y.; Chu, S.; Chen, Y.; Yan, X.* “Revealing the Untapped Potential of Photocatalytic Overall Water Splitting in Metal Organic Frameworks.” Advanced Functional Materials, 34(13), 2313596, 2024. DOI.

12. Huang, G.; Zhang, L.; Chu, S.; Xie, Y.; Chen, Y.* “A highly ductile carbon material made of triangle rings: A study of machine learning.” Applied Physics Letters, 124(4), 2024.

13. Zhang, D.; Liu, Y.; Zhao, Y.; Liang, J.; Sun, B.; Chu, S.* “Algorithm Research on Detail and Contrast Enhancement of High Dynamic Infrared Images.” Applied Sciences, 13(23), 12649, 2023.

14. Chu, S. B.; Bovi, D.; Cappelluti, F.; Orellana, A. G.; Martin, H.; Guidoni, L.* “Effects of static correlation between spin centers in multicenter transition metal complexes.” Journal of Chemical Theory and Computation, 13(10), 4675–4683, 2017.

15. Chu, S. B.; Coccia, E.; Barborini, M.; Guidoni, L.* “Role of electron correlation along the water splitting reaction.” Journal of Chemical Theory and Computation, 12(12), 5803–5810, 2016.

16. Wei, X. P.; Deng, J. B.; Mao, G. Y.; Chu, S. B.; Hu, X. R.* “Half-metallic properties for the Ti2YZ (Y = Fe, Co, Ni, Z = Al, Ga, In) Heusler alloys: a first-principles study.” Intermetallics, 29, 86–91, 2012.

17. Chu, S. B.; Hu, L.; Hu, X.; Yang, M.; Deng, J.* “Titanium-embedded graphene as high-capacity hydrogen-storage media.” International Journal of Hydrogen Energy, 36(19), 12324–12328, 2011.

18. Wei, X. P.; Deng, J. B.; Chu, S. B.; Mao, G. Y.; Hu, L. B.; Yang, M. K.; Hu, X. R.* “A first principles study on the full-Heusler compound Mn2CuSb.” Computational Materials Science, 50(3), 1175–1178, 2011.

19. Wei, X. P.; Deng, J. B.; Chu, S. B.; Mao, G. Y.; Lei, T.; Hu, X. R.* “Half-metallic ferrimagnetism in Full-Heusler alloy Mn2CuMg.” Journal of Magnetism and Magnetic Materials, 323(1), 185–188, 2011.

20. Wei, X. P.; Chu, S. B.; Mao, G. Y.; Deng, H.; Lei, T.; Hu, X. R.* “First-principles study of properties of Mn2ZnMg alloy.” Journal of Magnetism and Magnetic Materials, 323(17), 2295–2299, 2011.

21. Chu, S. B.; Hu, X.; Du, C.; Wu, X.; Dai, Y.; Hu, L.; Deng, J.*; Feng, Y. “Open space for the physisorption of H2: cointercalation of graphite with Li, Ti metal atoms and ethylene molecules.” International Journal of Hydrogen Energy, 35(3), 1280–1284, 2010.