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Sogol presented her research on studying the behavior of materials under irradiation at MRS 2024

December, 2024

JD presented his research at the 2024 undergraduate expo

April 5, 2024

Griffin and Ayoub presented their posters at the 2024 Stewardship Science Academic Programs (SSAP) Symposium

Our newest paper on developing machine learning models for analyzing large XRD data in collaboration with Professor Xu and his team has just been published at npj Computational Materials.

At the Advanced Computational Mechanics and Materials Laboratory (ACMML), we harness the power of interdisciplinary research to advance the understanding of material behavior under diverse conditions. Our work integrates expertise in physics, solid mechanics, materials science, data science, computational multiscale modeling, and experimental techniques. Through this synergistic approach, we strive to uncover the underlying physics of material deformation and develop robust mathematical models to predict the mechanical and physical properties of materials.

• Multiscale modeling and simulation of materials under extreme conditions
• Mechanics of nanoporous materials
• Machine learning for materials design and characterization