David Montgomery is a Postdoctoral Researcher in Computational Science at the National Renewable Energy Lab
David Montgomery is a Postdoctoral Researcher in Computational Science at the National Renewable Energy Lab
Numerical simulations of reactive flows
Modeling CO2 desublimation in carbon capture
Sustainable aviation fuels
Mathematical modeling of hemostasis and thrombosis under flow
High Performance Computing
Developed FuelLib, a fuel library leveraging the group contribution method to accurately predict thermodynamic properties of organic compounds for combustion simulations related to sustainable aviation fuels.
Adding capabilities to PeleLMeX to enable exascale modeling of CO2 desublimation in carbon capture.
Developed clotFoam: an open-source framework for simulating blood clotting in a variety of domains to study hemostasis, thrombosis, clotting disorders and treatments.
Understanding the effect of transmural pressure drop on blood clotting under flow in extravascular injuries.
Developing novel continuum models of platelet aggregation for applications in high-shear flow.
BS in Applied Mathematics with minor in Physics from Metropolitan State University 2018
MS in Computational and Applied Mathematics from the Colorado School of Mines 2020
PhD in Computational and Applied Mathematics from the Colorado School of Mines 2023
David Montgomery, Federico Municchi and Karin Leiderman, clotFoam: An open-source framework to simulate blood clot formation under arterial flow. SoftwareX (2023) 101483, https://doi.org/10.1016/j.softx.2023.101483.
David Montgomery, A Computational framework for modeling blood clotting in extravascular injuries. Mines Theses & Dissertations (2023), https://hdl.handle.net/11124/178643.
clotFoam: An open-source framework for simulating blood clotting. https://github.com/d-montgomery/clotFoam.
clotFoam tutorial: A pdf that introduces the basics of OpenFOAM and how to compile/edit the clotFoam software.
FuelLib, a fuel library leveraging the group contribution method