Welcome to CMML
Our research group focuses on developing and integrating computational modeling tools to study and predict multiscale defect formation mechanisms, nano- and microstructures, and properties of advanced materials. We create large scale parallel simulation environments utilizing supercomputers that allow simulations with multi-thousand CPUs and GPUs (petascale and exascale computing).
To calibrate, parametrize and validate our modeling efforts, we employ machine-learning and data analysis algorithms alongside experimental techniques, such as optical microscopy, scanning electron microscopy (SEM-orientation image mapping) and transmission electron microscopy (TEM).
We welcome collaborations with other computational and experimental researchers in universities, national labs, and industries.
Sincerely,
Mohsen Asle Zaeem, Ph.D.
Professor and Fryrear Endowed Chair for Innovation and Excellence
Department of Mechanical Engineering & Materials Science Program
COLORADOSCHOOLOFMINES
News
May 2024 — Congratulations to Dr. Amirreza Lotfolahpour who successfully completed his Ph.D. dissertation defense on “Understanding deformation and cyclic behavior of shape memory ceramics: A quantitative phase-field study.”
March 2024 — Prof. Asle Zaeem was selected as a Brimacombe Medalist – Class of 2024.
December 2023 — Congratulations to Dr. William Huber who successfully completed his Ph.D. dissertation defense on “Phase-Field Modeling of Fracture: Regularization Length Insensitivity and Mixed Mode Ductile Fracture.”
M. Asle Zaeem, S. Thomas, S. Kavousi, N. Zhang, T. Mukhopadhyay, A. Mahata. Multiscale computational modeling techniques in study and design of 2D materials: recent advances, challenges, and opportunities. 2D Materials 11 (2024) 042004.
A. Bhattacharya and M. Asle Zaeem. A phase-field model for study of ferroelastic deformation behavior in yttria stabilized zirconia. Acta Materialia 276 (2024) 120039.
