The path to a secure and responsible energy future
will be led by frontiers in turbulence, thermal sciences,
and high-performance computing. Advancements in
these fields will enable cleaner and more efficient energy
technologies, and provide a deeper understanding of
the natural world.
Our group focuses on developing physics-based models and
numerical algorithms to leverage super computers
for prediction and optimization of the complex
flows relevant to energy and the environment.
Otolith particles settling in a human ear canal
Brake emissions in a dynamometer
Biomass and sand flowing in a fluidized bed
Flame in a turbulent jet in crossflow
Shocklets and wakes past particles
News feed:
Recent news
9/3/2020 - Prof Capecelatro wrote an article for The
Conversation on school bus safety during COVID-19.
8/31/2020 - The Capecelatro Research Group was awarded a grant by the
National Science Foundation titled "Advances in closure modeling
for turbulent flows with finite-sized particles informed by
massive simulations on heterogenous architectures," a
collaboration between Michigan, Iowa State, and Georgia Tech.
4/2/2020 - Prof Capecelatro is quoted in The Michigan Engineering News Center on research
related to testing N95 masks against coronavirus-scale particles.
