Jiahui ZHANG

zjh239@foxmail.com

GitHub, Bitbucket

🎓 Education

🔬 Professional Experience

🔧 Skills

• High-Performance Computing (HPC) & Scientific Computing Tools Development
• Programming: Python, FORTRAN, C++, CUDA, Rust
• Research Tools: Molecular Dynamics (LAMMPS), Machine Learning, HPC, ab-initio Calculation (QE), LaTeX
• Domain Knowledge: Nuclear Physics, Statistical Mechanics, Quantum Mechanics, Solid State Physics
• Languages: Chinese (Native), English (Working proficiency)

🔬 Research Funding

1. Modeling of Room-Temperature Plastic Amorphous Oxides, Co-PI (2026 – 2027)

LUMI Extreme Scale Access project, Finland. Access to flagship supercomputer LUMI at CSC. Total funding: 401,350 € (resources allocated). Finnish LUMI projects announcement

🔬 Projects Participated

1. Development of kernel-based machine-learning potential for complex oxide glass material (2022 – 2023)

Gallium oxide (Ga2O3) is a semiconductor with complex phase transitions. We used a kernel-based ML method to develop a universal force field for atomistic simulations. My role included preparing DFT training data, training with Gaussian regression, and validating via atomistic simulations.

2. Development of universal and high-efficiency plasticity analyzing method for amorphous materials (2019 – 2022)

To study plastic deformation of amorphous alumina (Al2O3), I proposed a coarse-grained characterization method applicable to different materials (e.g., SiO2, Ga2O3). The developed toolkit enables instant analysis of million-atom simulations, providing medium-range structural information.

3. Computational study of radiation effects in iron-based alloys (2016 – 2019)

Simulated collision cascades in Fe-Cr alloy using MD to investigate Cr segregation at grain boundaries. Defects analyzed with Wigner-Seitz methods.

4. Investigation of helium bubble formation mechanism in metal (2016 – 2017)

Participated in experimental study on He bubble formation in Fe-based alloys. Assisted with sample preparation, TEM/SEM, and XRD characterization.

5. Optimization of numerical reactor project under anisotropic conditions (2016)

Developed a module for the method of characteristics solving neutron transport equation under anisotropic conditions using Fortran.

🏆 Awards

• Distinguished Master’s Thesis Award, Xi’an Jiaotong University
• Second-Level National Scholarship (Master’s thesis)

Conferences

• ECerS XIX - 2025 Drensden, Germany
• FEMS EUROMAT - 2025 Granada, Spain
• Computer Simulations of Radiation effects in solids (COSIRES) - 2018 Shanghai, China
• Conference of Fusion Materials of China - 2018 Changsha, China