Kyle E. Niemeyer

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Oregon State University

United States

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Recent Grants

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Frameworks: Collaborative Research: Extensible and Community-Driven Thermodynamics, Transport, and Chemical Kinetics Modeling with Cantera: Expanding to Diverse Scientific Domains

Open Date: 2020-01-01

Close Date: 2022-12-31

Grant: Close

Collaborative Research: Submesoscale-Resolving Large Eddy Simulations Using Reduced Biogeochemical Models

Open Date: 2019-09-01

Close Date: 2022-08-31

Grant: Close

Support for Workshop and Mentoring of Junior Researchers at the US National Combustion Meeting

Open Date: 2019-01-01

Close Date: 2019-12-31

Grant: Close

Collaborative Research: CDS&E: Leveraging hardware acceleration for accurate particle dynamics in turbulent flows

Open Date: 2018-08-15

Close Date: 2021-07-31

Grant: Close

Workshop: Building a sustainable combustion research community

Open Date: 2017-03-01

Close Date: 2018-02-28

Articles (16)

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UNITED STATES

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Chih-Jen Sung

UNITED STATES

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Kyle E. Niemeyer

Research Interests

Explore related searches

Contact this professor

Recent Grants

Articles (16)

Performant and Portable Monte Carlo Neutron Transport via Numba

A single-domain approach for modeling flow in and around porous media applied to buoyant reacting plume formation and ignition

Computationally efficient parameter estimation for high-dimensional ocean biogeochemical models

The Monte Carlo Computational Summit – October 25 & 26, 2023 – Notre Dame, Indiana, USA

A physics-based ignition model with detailed chemical kinetics for live fuel burning studies

Influence of lignin on smoldering propagation

Generalized preconditioning for accelerating simulations with large kinetic models

A Fully Explicit Integrator for Modeling Astrophysical Reactive Flows

Smouldering combustion in cellulose and hemicellulose mixtures: Examining the roles of density, fuel composition, oxygen concentration, and moisture content

Accelerating reactive-flow simulations using vectorized chemistry integration

A systematic method for selecting molecular descriptors as features when training models for predicting physiochemical properties

Assessing diffusion model impacts on enstrophy and flame structure in turbulent lean premixed flames

Applying the Swept Rule for Solving Two-Dimensional Partial Differential Equations on Heterogeneous Architectures

BFM17 v1.0: a reduced biogeochemical flux model for upper-ocean biophysical simulations

Applying the swept rule for solving explicit partial differential equations on heterogeneous computing systems

A fast, low-memory, and stable algorithm for implementing multicomponent transport in direct numerical simulations

Collaborators (6)

Nicole Lovenduski

Skyler Kern

Ilham Variansyah

Michael Zingale

Corinne D. Scown

Chih-Jen Sung

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