Python 环境配置完全指南：Conda 与国内镜像源
从零开始掌握 Python 环境管理，包括 Conda 环境创建、配置文件使用、镜像源配置等实用技巧。
Hey, I'm Jing Zhong Computational Materials Scientist
Building AI-maintainable software infrastructure for computational materials science. Leveraging Rust and AI to create self-evolving tools for phase diagram calculations and materials discovery.
Research Highlights
Frequently Asked Questions
Answers to common questions about my research and tools.
HitDIC (High-throughput Determination of Interdiffusion Coefficients) is a free-accessible software I developed for efficient determination of interdiffusion coefficients and atomic mobilities in alloy systems. It integrates numerical inverse methods, uncertainty quantification, and automated parameter optimization to provide robust algorithms for constructing diffusion databases.
My research focuses on computational materials science, including: CALPHAD-based thermodynamic and kinetic modeling, phase-field simulations, high-throughput materials design, diffusion database development, and uncertainty quantification in materials data. I'm particularly interested in developing computational tools and infrastructure.
HitDIC is freely available at https://hitdic.com. The software is designed for researchers working on diffusion phenomena in multicomponent alloys. It provides high-throughput determination of interdiffusion coefficients with quantified uncertainties, making it valuable for both fundamental research and practical materials design.