Who we are

At the forefront of computational materials science, we are pioneering multiscale models that seamlessly blend molecular dynamics, dislocation dynamics, and crystal plasticity finite element (CPFE) methods. Our virtual toolboxes push beyond experimental limits, simulating extreme material behaviors with unparalleled accuracy. By harnessing machine learning, we aim to revolutionize material modeling, creating tools that are ready for real-world, high-performance applications—transforming industries from aerospace to biomedical engineering.

Understanding how materials behave under various stresses, temperatures, and environments is crucial for their application in demanding fields. Using advanced crystal plasticity, we develop and refine models that unlock the secrets of microstructural evolution under complex loading, temperature, and environmental conditions. By fusing experimental insights with advanced modeling, we aim to redefine how we design materials that can withstand the most extreme demands—setting new standards for innovation in materials engineering.

Our research also emphasizes comprehensive experimental characterization using a complementary, powerful suite of state-of-the-art tools —from multi-technique microscopy and nanoindentation to X-ray diffraction and comprehensive mechanical testing. We push materials to their limits, revealing their hidden strengths and weaknesses under the most demanding conditions. This innovative approach not only validates our models but also drives groundbreaking discoveries that shape the future of high-performance materials.