Kyle Niemeyer

Assistant Professor of Mechanical Engineering
School of MIME
Oregon State University
320 Rogers Hall
Corvallis, OR 97331

Research

My group’s research focuses on developing new numerical methods that will allow us to better simulate important physical phenomena, including combustion, turbulence-chemistry interactions, and the interaction of fluids with solid structures.

Some recent and ongoing projects include:

  • Strategies for chemical kinetic model reduction
  • Algorithms that can exploit graphics processing units (GPUs) to accelerate reactive-flow simulations
  • A software library for the adaptive and efficient solution of chemical kinetics
  • GPU-based swept time-space decomposition scheme for accelerating parallel CFD simulations
  • Computational modeling of coupled detonation-magnetohydrodynamic systems for power generation
  • Computational investigation of vacuum arc remelting (VAR) furnaces
  • Development of efficient solvers for fluid-structure interaction

See our research page for more details.

Join Us!

I am currently recruiting PhD students with interests in computational modeling and numerical methods for fluid dynamics and combustion. Competitive candidates will possess strong computer programming skills and experience in command-line/UNIX systems and parallel computing. You can see more about my primary research areas, but I’m also open to other related areas.

Information about applying to the School of MIME’s graduate program can be found here. Note that the yearly deadline to be considered is January 15.

I am also happy to talk to postdoctoral candidates, and undergraduate students interested in research are always welcome.

Teaching

Mechanical Engineering Methods (ME 373): Winter 2015, 2016

Introduction to Fluid Mechanics (ME 331): Fall 2013, 2014

Introduction to MIME (MIME 101): Fall 2015

Blog

I keep a blog on personal and research topics. Here are some recent posts:

Reading

Science
Writing

From 2011 to 2013, I also contributed in my spare time (ha!) to The Scientific Method, the science section of Ars Technica, where I reported on scientific articles covering a range of topics (e.g., energy, climate, technology) to a technically—but not necessarily scientifically—literate audience, with audiences in the tens of thousands each month.

Here are some of my favorite and popular pieces: