Kyle Niemeyer

Kyle Niemeyer

Oregon State University

H-index: 22

North America-United States

About Kyle Niemeyer

Kyle Niemeyer, With an exceptional h-index of 22 and a recent h-index of 19 (since 2020), a distinguished researcher at Oregon State University, specializes in the field of Combustion, Reactive flow modeling, CFD, GPU computing, open science.

His recent articles reflect a diverse array of research interests and contributions to the field:

Influence of lignin on smoldering propagation

Monte Carlo/Dynamic Code (MC/DC): An accelerated Python package for fully transient neutron transport and rapid methods development

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

Investigating a single-domain approach for modeling coupled porous solid-fluid systems: applications in buoyant reacting plume formation and ignition

Hybrid-Delta Tracking on a Structured Mesh in MCATK

Exploring One-Cell Inversion Method for Transient Transport on GPU

Development of MC/DC: a performant, scalable, and portable Python-based Monte Carlo neutron transport code

Generalized preconditioning for accelerating simulations with large kinetic models

Kyle Niemeyer Information

University

Position

Assistant Professor

Citations(all)

2323

Citations(since 2020)

1510

Cited By

1448

hIndex(all)

22

hIndex(since 2020)

19

i10Index(all)

36

i10Index(since 2020)

32

Email

University Profile Page

Google Scholar

Kyle Niemeyer Skills & Research Interests

Combustion

Reactive flow modeling

CFD

GPU computing

open science

Top articles of Kyle Niemeyer

Influence of lignin on smoldering propagation

Combustion and Flame

2024/7/1

Monte Carlo/Dynamic Code (MC/DC): An accelerated Python package for fully transient neutron transport and rapid methods development

Journal of Open Source Software

2024/4/9

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

arXiv preprint arXiv:2402.08161

2024/2/13

Investigating a single-domain approach for modeling coupled porous solid-fluid systems: applications in buoyant reacting plume formation and ignition

arXiv preprint arXiv:2401.08874

2024/1/16

Hybrid-Delta Tracking on a Structured Mesh in MCATK

arXiv preprint arXiv:2306.07847

2023/6/13

Exploring One-Cell Inversion Method for Transient Transport on GPU

arXiv preprint arXiv:2305.13555

2023/5/22

Development of MC/DC: a performant, scalable, and portable Python-based Monte Carlo neutron transport code

arXiv preprint arXiv:2305.07636

2023/5/12

Generalized preconditioning for accelerating simulations with large kinetic models

Proceedings of the Combustion Institute

2023/1/1

A Fully Explicit Integrator for Modeling Astrophysical Reactive Flows

Research Notes of the AAS

2023/12/22

Flow instabilities, mixing, and combustion in porous solid-fluid domains

Bulletin of the American Physical Society

2023/11/21

Kyle Niemeyer
Kyle Niemeyer

H-Index: 17

Extensible and Community-Driven Thermodynamics, Transport, and Chemical Kinetics Modeling with Cantera: Expanding to Diverse Scientific Domains. NSF CSSI PI Meeting, September …

2023/10/12

Computationally efficient parameter estimation for high-dimensional ocean biogeochemical models

Spatial and Spatio-temporal Epidemiology

2022/6/1

Can machine learning predict fuel properties accurately?

2022/12/23

Kyle Niemeyer
Kyle Niemeyer

H-Index: 17

Coupling Traditional Hydrodynamics and Smoothed Particle Hydrodynamics for Increased Performance in 1D Strong Shock Simulations

Bulletin of the American Physical Society

2022/11/21

Interactions Between Physical Processes and Carbonate Chemistry in the Oceanic Mixed Layer

Bulletin of the American Physical Society

2022/11/20

Accelerating reactive-flow simulations using vectorized chemistry integration

Computer Physics Communications

2022/9/1

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

Fuel

2022/8/1

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

Combustion Theory and Modelling

2022/7/29

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

Combustion Theory and Modelling

2022/6/7

Feedstock to Function (F2F) v1

2022/5/12

Kyle Niemeyer
Kyle Niemeyer

H-Index: 17

See List of Professors in Kyle Niemeyer University(Oregon State University)

Co-Authors

academic-engine