研究领域
Research
凝聚态物理、材料学、计算机交叉学科的相关研究。
Magnetic Materials
First-principles Study of Non-Collinear Spin Fluctuations Using Self-adaptive Spin-constrained Method Zefeng Cai
Assessing Atomic Spin-Lattice Interactions: A Deep Learning Framework Teng Yang， Zhengtao Huang
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| Magnetic vortex state in 2D magnetic materials | ||
Qing Tang
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| Formation of Skyrmion Lattice | ||
• Mechanisms of skyrmion and skyrmion crystal formation from the conical phase |
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Phonon Related
Ultrafast manipulation of functional materials with phononics
| Selective manipulation of polarization and magnetization in BiFeO3 using THz laser |
Selective tuning of order parameters of multiferroic in picoseconds using midinfrared terahertz laser pulses Physical Review B 105 (2), 024304 |
THz laser induced insulator-metal transition in BaBiO3 |
Anti-Jahn-Teller Effect Induced Ultrafast Insulator to Metal Transition in Perovskite BaBiO3 npj Computational Materials 8， 226 (2022) |
Thermal conductivity
| Anomalous Thermal Transport of SrTiO3 Driven by Anharmonic Phonon Renormalization | |
Han Jian |
Evolution of Microscopic structures
• Formation of <100> dislocation loop in bcc-Fe via the ternary loop reaction |
Machine Learning
| Developing deep learning potentials | ||
Determining the Thermal Conductivity and Phonon Behavior of SiC Materials with Quantum Accuracy via Deep Learning Interatomic Potential Model
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| Oxygen octahedra distortion for interpretable machine learning modes | ||
Interpretable machine learning model of effective mass in perovskite oxides |
