Explore our Research

Welcome to Integrated Multi-Physics laboratory. The IMP lab is located in the Department of Mechanical Engineering at the University of Utah. Our main interests lie in investigating multi-physics, multi-scale phenomena in heterogeneous porous materials through integrating theoretical, experimental, and computational analysis combined with data sciences. Coupled multi-physics phenomena are phenomena with at least two independent physical processes in one or multiple regimes and typically involve solving coupled systems of partial differential equations. For instance, fluid injection into a heterogeneous porous media and the impact of chemical corrosion at the fracture tips, etc. Our lack of knowledge and the complexity of describing the intricate couplings between many physical phenomena due to the presence of multiple length scales and various physics involved provides an opportunity for exploration. At IMP Lab, we are dedicated to understanding these phenomena for various engineering and scientific applications.

Our Research Interests

Computational multi-physics analysis of coupled phenomena

Coupled phenomena involving at least two independent physical processes are studied computationally, typically requiring the solution of systems of partial differential equations.

Quantum-classical computing in heterogeneous systems

Quantum-classical computing methods are applied to analyze and model heterogeneous systems.

Fracture analysis in multi-physics systems

Fracture mechanics is examined in systems where multiple physical processes interact, such as chemical corrosion at fracture tips during fluid injection into heterogeneous porous media.

Abstract red banner with mathematical diagrams, formulas, and geometric shapes Abstract red banner with mathematical diagrams, formulas, and geometric shapes

Illustration of quantum wave functions in position and momentum space, showing the uncertainty principle Illustration of quantum wave functions in position and momentum space, showing the uncertainty principle

World map with colored flags marking locations across several countries World map with colored flags marking locations across several countries

Computational homogenization of heterogeneous materials

Computational methods are developed to homogenize the properties of heterogeneous materials, improving system-level analysis.

Multi-physics machine learning

Machine learning techniques help model and predict outcomes in coupled multi-physics phenomena.

Constitutive modeling

Constitutive models are developed to characterize material behavior under complex loading conditions.

Nano/Micro-architected porous media

The lab explores the design and mechanical behavior of nano- and micro-architected porous media.