Homepage

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.

The Advanced Computational Mechanics and Materials Laboratory (ACMML) in the Department of Mechanical Engineering at University of Rochester integrates our knowledge of physics, solid mechanics, materials science, computational multiscale modeling, and experimentation to improve the understanding of the physics of the deformation of advanced materials and develop mathematical models to predict the mechanical or physical properties of such materials.

• Multiscale modeling of nanoscale metallic multilayers
• Computational prediction of the structure of semicoherent interfaces
• Nanoporous materials
• Composite pseudoelastic nanowires