Faculty in the Department of Mechanical Engineering are creating computer-aided design tools for process simulations and novel algorithms for the biomodeling of molecules using computational methods.
Computational geometry, CAD, and CAE
Our faculty investigate computational approaches and computer-aided design to create tools for visualization, modeling, simulation, sketched-based user interfaces, and human-computer problem solving. These can impact areas ranging from product design to medical imaging.
Computational tools for manufacturing
Our experts create and apply computational design tools and computer-aided manufacturing tools to advance manufacturing processes and technologies. The work includes design optimization for manufacturability and analysis software for process simulations.
Computation in energy
From improving energy conversion and storage efficiency to reducing energy consumption, our experts explore micro/nano-scale phenomena through atomic- and meso-scale simulations and machine learning.
Computational biology and medicine
Our researchers seek to improve human health by exploring the biomechanics of cells and molecules, developing better medical imaging technologies, and developing novel algorithms to biomodel molecules, cells, tissue, and organs.
They are combining molecular dynamic simulations, machine learning, and statistical learning to understand and predict the properties and interactions of bio-molecules such as DNA and proteins.
Computational fluid dynamics (CFD) and multiphysics simulations
Our faculty are developing the computational tools to simulate engineering applications and the phenomena that impact them in their full-scale complexity.
They perform multiphase flow simulations, direct numerical simulations (DNS), large-eddy simulations (LES), porous media flow simulations, electrokinetics, and multiphysics simulations.
Center for Atmospheric Particle Studies