Our mission:
Scientific computing and numerical simulation play a pivotal role in shortening the product development cycle, evaluating and improving infrastructure resilience, minimizing impact of natural disasters, and enhancing national security. Recent emergence of modern computer architectures and scalable algorithms have introduced new opportunities and challenges into the field of computational theories and simulation techniques. At JinLab, we build accurate and robust computational tools to simulate, predict, and optimize behaviors of complex material and engineering systems. With these computational tools, our mission is to advance the scientific understanding of emerging material and engineering systems, as well as facilitate their real-world design and applications.
Our approach:
Our research lies at the intersection of solid mechanics, applied mathematics, materials science, and scientific computing. In particular, we
propose numerical methods to solve partial differential equations;
design advanced techniques to treat discontinuities such as propagating fractures and evolving interfaces;
develop multiscale constitutive models to bridge material micro-structure and marco-function relationships;
program numerical algorithms with Fortran, C/C++, Python and contribute to open source libraries and packages.