The AUST Applied Simulation and Modeling Lab (AASML) is a dynamic research hub dedicated to solving complex engineering challenges through advanced computational techniques. We offer a rigorous, collaborative environment where theory meets cutting-edge simulation.
Here is what you can expect when you join our team:
1. Engage in High-Impact, Multi-Scale Research
Our research spans the macro to the nanoscale. You will have the opportunity to work on highly specialized projects, including
Computational Fluid Dynamics (CFD): Deep dives into multi-phase flow simulations, investigating phenomena like sessile droplet evaporation and interfacial science.
Molecular Dynamics (MD): Exploring nanoscale behaviors, from liquid droplet interactions to nanowire deformation.
Fluid-Structure Interaction (FSI): Applying engineering principles to critical biomedical challenges, such as modeling realistic airway responses to ventilator waveforms.
2. Master Industry-Standard Tool Stacks
Members of AASML develop hands-on expertise with the exact software suites used by leading global research institutions and engineering firms. You will build proficiency in:
Simulation & Meshing: ANSYS (Fluent, SpaceClaim), OpenFOAM, and LAMMPS.
Visualization: Advanced rendering and analysis using OVITO.
Data & Automation: Leveraging Python for analytical modeling, automating research tasks, and generating publication-quality data visualizations.
3. Focus on Rigorous Academic Validation
We do not just run simulations; we prove them. A core tenet of our lab is the strict validation of computational models against established academic literature. You will learn how to understand, verify, and expand upon findings from top-tier research papers, ensuring your work meets the highest scientific standards.
4. Build a Pathway to Top-Tier Graduate Programs
AASML is a springboard for future researchers. The lab culture is heavily geared toward preparing students for competitive PhD programs, particularly in fields like interfacial science. By working here, you will:
Develop a strong portfolio of validated research.
Gain experience organizing and participating in academic initiatives.
Build the technical foundation and academic network.