CMEELab

CMEELab is a lab aiming for Computational Material research under Extreme Environment. The computational techniques range from nano- to macro- scale including fluid mechanics, solid mechanics, and material science. 

Research Areas

Complex system
Multi-physics

Many scientific/engineering systems are involved with multidisciplinary subjects including fluid mechanics, solid mechanics, material science, chemistry, high energy particles, etc. One of CMEELab's goals is to apply multi-physics models to tackle the complex systems. 

Multi-scale simulations
Accuracy

Nature comes with different scales and many phenomenon are driven by lower scale processes. Using a platform integrated with multi-scale simulations can improve the accuracy of the simulation platform.

Data Science
Efficiency

Various machine learning algorithms are used in accelerated discovering, manufacturing, and deploying advanced materials.

Gallery

Super-thermal ions at a quasi-parallel collisionless shock [Su et al., 2012]
Pore structure of the four media using a stochastic algorithm of crystal nucleation and growth or creating void space with simple geometrical shapes [Huber and Su, 2015].
Schematic diagram for a numerical model we designed to study the sulfur degass process in volcanic eruptions [Su et al., 2016].
3D relaxed GSFE surface on one of the (111) planes in a model material [Su et al., 2019].
Comparison of the measured and calculated (CPFEM) elastic stress-strain curves for the HCP Mg nano-composite [Su et al., 2020]
Critical Shape for the Growth of Grain Boundary Twin Embryos in Mg and Mg Alloys: Crystal Plasticity Modeling [Su et al., 2022]
Energetically favorable dislocation/nanobubble bypass mechanism in irradiation conditions [Jian et al., 2022]
The effect of local chemical ordering on Frank-Read source activation in a refractory multi-principal element alloy [Smith et al., 2020]
Address
  • Office: ENGR 419Q
  • Mechanical & Aerospace Engineering
  • Utah State University
  • 4130 Old Main Hill
  • Logan, UT 84322-4130
Contacts
  • Email: yanqing.su@usu.edu
  • Phone: 435-797-0957
Links

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