GPU-Based Parallel Integration of Large Numbers of Independent ODE Systems. - Kyle E. Niemeyer; Chih-Jen Sung (Numerical Computations with GPUs, 2014)

Accelerating moderately stiff chemical kinetics in reactive-flow simulations using GPUs. - Kyle E. Niemeyer; Chih-Jen Sung (J. Comput. Phys., 2014)

Recent progress and challenges in exploiting graphics processors in computational fluid dynamics. - Kyle E. Niemeyer; Chih-Jen Sung (J. Supercomput., 2014)

PyTeCK: a Python-based automatic testing package for chemical kinetic models. - Kyle E. Niemeyer (SciPy, 2016)

An investigation of GPU-based stiff chemical kinetics integration methods. - Nicholas J. Curtis; Kyle E. Niemeyer; Chih-Jen Sung (CoRR, 2016)

Report on the Third Workshop on Sustainable Software for Science: Practice and Experiences (WSSSPE3). - Daniel S. Katz; Sou-Cheng T. Choi; Kyle E. Niemeyer; James Hetherington; Frank Löffler 001; Dan Gunter; Ray Idaszak; Steven R. Brandt; Mark A. Miller; Sandra Gesing; Nick D. Jones; Nic Weber; et al. (CoRR, 2016)

An initial investigation of the performance of GPU-based swept time-space decomposition. - Kyle E. Niemeyer; Daniel Magee (CoRR, 2016)

On the importance of graph search algorithms for DRGEP-based mechanism reduction methods. - Kyle E. Niemeyer; Chih-Jen Sung (CoRR, 2016)

GPU-Based Parallel Integration of Large Numbers of Independent ODE Systems. - Kyle E. Niemeyer; Chih-Jen Sung (CoRR, 2016)

Accelerating finite-rate chemical kinetics with coprocessors: comparing vectorization methods on GPUs, MICs, and CPUs. - Christopher P. Stone; Kyle E. Niemeyer (CoRR, 2016)

The Challenge and Promise of Software Citation for Credit, Identification, Discovery, and Reuse. - Kyle E. Niemeyer; Arfon M. Smith; Daniel S. Katz (ACM J. Data Inf. Qual., 2016)

Software vs. data in the context of citation. - Daniel S. Katz; Kyle E. Niemeyer; Arfon M. Smith; William L. Anderson; Carl Boettiger; Konrad Hinsen; Rob W. W. Hooft; Michael Hucka; Allen Lee; Frank Löffler 001; Tom J. Pollard; Fernando Rios (PeerJ Prepr., 2016)

Software Citation Principles. - Arfon M. Smith; Daniel S. Katz; Kyle E. Niemeyer (PeerJ Prepr., 2016)

Report on the Fourth Workshop on Sustainable Software for Science: Practice and Experiences (WSSSPE4). - Daniel S. Katz; Kyle E. Niemeyer; Sandra Gesing; Lorraine J. Hwang; Wolfgang Bangerth; Simon Hettrick; Ray Idaszak; Jean Salac; Neil P. Chue Hong; Santiago Núñez-Corrales; Alice Allen; R. Stuart Geiger; et al. (CoRR, 2017)

Accelerating solutions of PDEs with GPU-based swept time-space decomposition. - Daniel J. Magee; Kyle E. Niemeyer (CoRR, 2017)

ChemKED: a human- and machine-readable data standard for chemical kinetics experiments. - Bryan W. Weber; Kyle E. Niemeyer (CoRR, 2017)

pyJac: Analytical Jacobian generator for chemical kinetics. - Kyle E. Niemeyer; Nicholas J. Curtis; Chih-Jen Sung (Comput. Phys. Commun., 2017)

A multi-disciplinary perspective on emergent and future innovations in peer review. - Jonathan P. Tennant; Jonathan M. Dugan; Daniel Graziotin; Damien C. Jacques; François Waldner; Daniel Mietchen; Yehia Elkhatib; Lauren B. Collister; Christina K. Pikas; Tom Crick; Paola Masuzzo; Anthony Caravaggi; et al. (F1000Research, 2017)

Using SIMD and SIMT vectorization to evaluate sparse chemical kinetic Jacobian matrices and thermochemical source terms. - Nicholas J. Curtis; Kyle E. Niemeyer; Chih-Jen Sung (CoRR, 2018)

Applying the swept rule for explicit partial differential equation solutions on heterogeneous computing systems. - Daniel J. Magee; Kyle E. Niemeyer (CoRR, 2018)

Accelerating finite-rate chemical kinetics with coprocessors: Comparing vectorization methods on GPUs, MICs, and CPUs. - Christopher P. Stone; Andrew T. Alferman; Kyle E. Niemeyer (Comput. Phys. Commun., 2018)

Publish Your Software: Introducing the Journal of Open Source Software (JOSS). - Daniel S. Katz; Kyle E. Niemeyer; Arfon M. Smith (Comput. Sci. Eng., 2018)

The principles of tomorrow's university. - Daniel S. Katz; Gabrielle Allen; Lorena A. Barba; Devin R. Berg; Holly Bik; Carl Boettiger; Christine L. Borgman; C. Titus Brown; Stuart Buck; Randy Burd; Anita de Waard; Martin Paul Eve; et al. (F1000Research, 2018)

Accelerating solutions of one-dimensional unsteady PDEs with GPU-based swept time-space decomposition. - Daniel J. Magee; Kyle E. Niemeyer (J. Comput. Phys., 2018)

Journal of Open Source Software (JOSS): design and first-year review. - Arfon M. Smith; Kyle E. Niemeyer; Daniel S. Katz; Lorena A. Barba; George Githinji; Melissa Gymrek; Kathryn D. Huff; Christopher R. Madan; Abigail Cabunoc Mayes; Kevin M. Moerman; Pjotr Prins; Karthik Ram; et al. (PeerJ Comput. Sci., 2018)

A Project-Based Course on Software Development for (Engineering) Research. - Kyle E. Niemeyer (ICCS (5), 2019)

pyMARS: automatically reducing chemical kinetic models in Python. - Phillip Mestas; Parker Clayton; Kyle E. Niemeyer (J. Open Source Softw., 2019)

A fast, low-memory, and stable algorithm for implementing multicomponent transport in direct numerical simulations. - Aaron J. Fillo; Jason Schlup; Guillaume Beardsell; Guillaume Blanquart; Kyle E. Niemeyer (J. Comput. Phys., 2020)

The Two-Dimensional Swept Rule Applied on Heterogeneous Architectures. - Anthony S. Walker; Kyle E. Niemeyer (CoRR, 2021)

Applying the swept rule for solving explicit partial differential equations on heterogeneous computing systems. - Daniel J. Magee; Anthony S. Walker; Kyle E. Niemeyer (J. Supercomput., 2021)

Accelerating reactive-flow simulations using vectorized chemistry integration. - Nicholas J. Curtis; Kyle E. Niemeyer; Chih-Jen Sung (Comput. Phys. Commun., 2022)

A Structured Framework for Predicting Sustainable Aviation Fuel Properties using Liquid-Phase FTIR and Machine Learning. - Ana E. Comesana; Sharon S. Chen; Kyle E. Niemeyer; Vi H. Rapp (CoRR, 2024)

Monte Carlo / Dynamic Code (MC/DC): An accelerated Python package for fully transient neutron transport and rapid methods development. - Joanna Piper Morgan; Ilham Variansyah; Samuel L. Pasmann; Kayla B. Clements; Braxton Cuneo; Alexander Mote; Charles Goodman; Caleb Shaw; Jordan Northrop; Rohan Pankaj; Ethan Lame; Benjamin Whewell; et al. (J. Open Source Softw., 2024)

Performant and Portable Monte Carlo Neutron Transport via Numba. - Joanna Piper Morgan; Ilham Variansyah; Braxton Cuneo; Todd S. Palmer; Kyle E. Niemeyer (Comput. Sci. Eng., 2025)