Jonathan B. Freund

According to our database, Jonathan B. Freund authored at least 21 papers between 2008 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Pyrometheus: Symbolic abstractions for XPU and automatically differentiated computation of combustion kinetics and thermodynamics.

Esteban Cisneros-Garibay, Henry Le Berre, Dimitrios Adam, Spencer H. Bryngelson, Jonathan B. Freund

Comput. Phys. Commun., 2026

2025

MIRGE: An Array-Based Computational Framework for Scientific Computing.

Matthias Diener, Matthew J. Smith, Michael T. Campbell, Kaushik Kulkarni, Michael J. Anderson, Andreas Klöckner, William Gropp, Jonathan B. Freund, Luke N. Olson

CoRR, December, 2025

Corrigendum to "A TVD neural network closure and application to turbulent combustion" [Journal of Computational Physics 523 (2025)/113638].

Seung Won Suh, Jonathan F. MacArt, Luke N. Olson, Jonathan B. Freund

J. Comput. Phys., 2025

A TVD neural network closure and application to turbulent combustion.

Seung Won Suh, Jonathan F. MacArt, Luke N. Olson, Jonathan B. Freund

J. Comput. Phys., 2025

2024

Soft Checksums to Flag Untrustworthy Machine Learning Surrogate Predictions and Application to Atomic Physics Simulations.

Casey Lauer, Robert C. Blake, Jonathan B. Freund

CoRR, 2024

2022

An optimization method for chaotic turbulent flow.

Seung Whan Chung, Jonathan B. Freund

J. Comput. Phys., 2022

2021

Embedded training of neural-network sub-grid-scale turbulence models.

Jonathan F. MacArt, Justin A. Sirignano, Jonathan B. Freund

CoRR, 2021

2020

DPM: A deep learning PDE augmentation method with application to large-eddy simulation.

Justin A. Sirignano, Jonathan F. MacArt, Jonathan B. Freund

J. Comput. Phys., 2020

A computational model for nanosecond pulse laser-plasma interactions.

Alessandro Munafò, Andrea Alberti, Carlos Pantano, Jonathan B. Freund, Marco Panesi

J. Comput. Phys., 2020

Regular sensitivity computation avoiding chaotic effects in particle-in-cell plasma methods.

Seung Whan Chung, Stephen D. Bond, Eric C. Cyr, Jonathan B. Freund

J. Comput. Phys., 2020

Boundary-consistent B-spline filtering schemes and application to high-fidelity simulations of turbulence.

Yong Yi Bay, Daniel J. Bodony, Jonathan B. Freund

J. Comput. Phys., 2020

2019

Adaptive sparse polynomial dimensional decomposition for derivative-based sensitivity.

Kunkun Tang, Jonathan M. Wang, Jonathan B. Freund

J. Comput. Phys., 2019

2018

An adaptive least-squares global sensitivity method and application to a plasma-coupled combustion prediction with parametric correlation.

Kunkun Tang, Luca Massa, Jonathan M. Wang, Jonathan B. Freund

J. Comput. Phys., 2018

2017

Improving the memory access locality of hybrid MPI applications.

Matthias Diener, Sam White, Laxmikant V. Kalé, Michael T. Campbell, Daniel J. Bodony, Jonathan B. Freund

Proceedings of the 24th European MPI Users' Group Meeting, 2017

2016

A Finite Element Based P³M Method for N-Body Problems.

Natalie N. Beams, Luke N. Olson, Jonathan B. Freund

SIAM J. Sci. Comput., 2016

2015

A practical discrete-adjoint method for high-fidelity compressible turbulence simulations.

Ramanathan Vishnampet, Daniel J. Bodony, Jonathan B. Freund

J. Comput. Phys., 2015

A Finite Element Based P3M Method for N-body Problems.

Natalie N. Beams, Luke N. Olson, Jonathan B. Freund

CoRR, 2015

2013

A diffuse interface model with immiscibility preservation.

Arpit Tiwari, Jonathan B. Freund, Carlos Pantano

J. Comput. Phys., 2013

2010

A spectral boundary integral method for flowing blood cells.

Hong Zhao, Amir H. G. Isfahani, Luke N. Olson, Jonathan B. Freund

J. Comput. Phys., 2010

An interface capturing method for the simulation of multi-phase compressible flows.

Ratnesh K. Shukla, Carlos Pantano, Jonathan B. Freund

J. Comput. Phys., 2010

2008

A fixed-mesh method for incompressible flow-structure systems with finite solid deformations.

Hong Zhao, Jonathan B. Freund, Robert D. Moser

J. Comput. Phys., 2008