Shibing Chu
Associate professor

Gender:Male

Alma Mater:兰州大学

Education Level:With Certificate of Graduation for Doctorate Study

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Shibing Chu, PhD, associate professor and master's advisor.


He graduated from Lanzhou University with a Bachelor's degree in "Physics" and a PhD in "Theoretical Physics".


In 2014, he spent 3 years as a postdoctoral researcher at the University of Rome/L'Aquila in Italy.


After that, he joined the Faculty of Physics and Electronic Engineering of Jiangsu University in 2017.


He is mainly engaged in algorithmic and applied research on strongly correlated electron systems and photosynthesis mechanisms. He has published more than ten SCI papers in international journals such as J. Chem. Theory Comput., Int. J. Hydrogen Energy, J. Chem. Phy., J. Magn. Magn. Mater., Physics B


He is the chair of one National Natural Science Foundation of China, one special National Natural Science Foundation of China, on theoretical physics, and one senior talent start-up fund of Jiangsu University.




★ Master student


1. to cultivate scientific researchers engaged in the intersection of physics and computer


2. Cultivate IT industry candidates to persuing the technology of machine learning, deep learning and artificial intelligence


I love physics and computer, Emacs is the most commonly used tool, I am an open source and technology enthusiast, I believe in science first, and I look forward to finding the beauty of science (serendipity) together.


Welcome international students to join us for Master degree!s



★Projects under research


[1] National Natural Science Foundation of China (11904137)


[2] Senior Talent Start-up Fund of Jiangsu University (18JDG024)


★Presided over the completed projects

[1] National Natural Science Foundation of China, Theoretical Physics Project (11747081)



 


★Project Description.

  1. AI for Science:
    Dedicated to addressing complex scientific challenges through artificial intelligence technologies.

    • Data-Driven Physical Modeling: Combines deep learning with the Schrödinger equation (Density Functional Theory, DFT) to develop efficient and accurate physical models, uncovering the mysteries of nature.

    • Material Design and Optimization: Leverages machine learning algorithms to predict and optimize the structure and properties of novel materials, accelerating the material development lifecycle.

  2. Generative Model Approaches:

    • Applications of diffusion models and conditional diffusion models in generating materials and chemical/drug molecules.

    • Research on utilizing generative models for strategy optimization and reward design.

  3. AI Agents and Reinforcement Learning:
    Focused on constructing domain-specific intelligent agents.


  

★Publications

YOLO-MST: Multiscale deep learning method for infrared small target detection based on super-resolution and YOLO T Yue, X Lu, J Cai, Y Chen, S Chu arXiv preprint arXiv:2412.19878(to be published in Optics and Laser Technology),2025


Discovery of 2D Materials via Symmetry-Constrained Diffusion Model S Xu, S Chu, R Mrad, Z Zhang, Z Li, R Jiao, Y Chen arXiv preprint arXiv:2412.18414(to be published), 2025


Generative design of crystal structures by point cloud representations and diffusion model Z Li, R Mrad, R Jiao, G Huang, J Shan, S Chu, Y Chen iScience 28 (1),2025


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


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


Discovery of magnesium-aluminum alloys by generative model and automatic differentiation approach

S Cheng, Z Li, H Zhang, X Yan, S Chu* - Modelling and Simulation in Materials Science and …, 2024


Modulating electronic structure by interlayer spacing and twist on bilayer bismuthene

H Zhang, S Cheng, Y Chen, S Chu* - Journal of Physics: Condensed Matter, 2024


Unveiling the Low-Lying Spin States of [Fe3S4] Clusters via the Extended Broken-Symmetry Method

S Chu*, Q Gao - Molecules, 2024


Huang, Guan, et al. "A highly ductile carbon material made of triangle rings: A study of machine learning."
Applied Physics Letters 124.4 (2024).


Zhang, Duo, et al. "Algorithm Research on Detail and Contrast Enhancement of High Dynamic Infrared Images."
Applied Sciences 13.23 (2023): 12649.


Wang, Caihua, et al. "Revealing the Untapped Potential of Photocatalytic Overall Water Splitting in Metal Organic Frameworks."
Advanced Functional Materials (2023): 2313596.


S.B. Chu, D Bovi, F Cappelluti, AG Orellana, H Martin, L Guidoni*,Effects of static correlation between spin centers in multicenter transition metal complexes,
Journal of chemical theory and computation 13 (10), 4675-4683,8,2017


S.B. Chu, E Coccia, M Barborini, L Guidoni*,Role of electron correlation along the water splitting reaction,
Journal of chemical theory and computation 12 (12), 5803-5810,42016


S.B. Chu, L Hu, X Hu, M Yang, J Deng*,Titanium-embedded graphene as high-capacity hydrogen-storage media,
International journal of hydrogen energy 36 (19), 12324-12328,67,2011


S.B. Chu, X Hu, C Du, X Wu, Y Dai, L Hu, J Deng*, Y Feng,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), 1280-1284,17,2010


XP Wei, JB Deng, GY Mao, SB Chu, XR Hu*,Half-metallic properties for the Ti2YZ (Y= Fe, Co, Ni, Z= Al, Ga, In) Heusler alloys: a first-principles study,
Intermetallics 29, 86-91,106,2012


XP Wei, JB Deng, SB Chu, GY Mao, LB Hu, MK Yang, XR Hu*,A first principles study on the full-Heusler compound Mn2CuSb,
Computational Materials Science 50 (3), 1175-1178,30,2011


XP Wei, JB Deng, SB Chu, GY Mao, T Lei, XR Hu*,Half-metallic ferrimagnetism in Full-Heusler alloy Mn2CuMg,
Journal of magnetism and magnetic materials 323 (1), 185-188,23,2011


X.P. Wei, S.B. Chu, GY Mao, H Deng, T Lei, XR Hu*,First-principles study of properties of Mn2ZnMg alloy,
Journal of magnetism and magnetic materials 323 (17), 2295-2299,15,2011



1.google scholar   https://scholar.google.com/citations?user=2evllU0AAAAJ&hl=en

2.Researchgate: https://www.researchgate.net/profile/Shibing_Chu


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