A robust null space method for linear equality constrained state estimation. - Russell J. Hewett; Michael T. Heath; Mark D. Butala; Farzad Kamalabadi (IEEE Trans. Signal Process., 2010)

Numerical methods for solar tomography in the STEREO era - Russell J. Hewett (2011)

A Phase Field Method for Tomographic Reconstruction from Limited Data. - Russell J. Hewett; Ian Jermyn; Michael T. Heath; Farzad Kamalabadi (BMVC, 2012)

SunPy: Python for Solar Physicists. - Stuart Mumford; David Pérez-Suárez; Steven Christe; Florian Mayer; Russell J. Hewett (SciPy, 2013)

Reduced storage nodal discontinuous Galerkin methods on semi-structured prismatic meshes. - Jesse Chan; Zheng Wang; Russell J. Hewett; Timothy C. Warburton (Comput. Math. Appl., 2017)

Weight-Adjusted Discontinuous Galerkin Methods: Curvilinear Meshes. - Jesse Chan; Russell J. Hewett; Timothy Warburton (SIAM J. Sci. Comput., 2017)

Weight-Adjusted Discontinuous Galerkin Methods: Wave Propagation in Heterogeneous Media. - Jesse Chan; Russell J. Hewett; Timothy Warburton (SIAM J. Sci. Comput., 2017)

A parallel shared-memory implementation of a high-order accurate solution technique for variable coefficient Helmholtz problems. - Natalie N. Beams; Adrianna Gillman; Russell J. Hewett (Comput. Math. Appl., 2020)

A Linear Algebraic Approach to Model Parallelism in Deep Learning. - Russell J. Hewett; Thomas J. Grady II (CoRR, 2020)

L-Sweeps: A scalable, parallel preconditioner for the high-frequency Helmholtz equation. - Matthias Taus; Leonardo Zepeda-Núñez; Russell J. Hewett; Laurent Demanet (J. Comput. Phys., 2020)

SunPy: A Python package for Solar Physics. - Stuart Mumford; Nabil Freij; Steven Christe; Jack Ireland; Florian Mayer; V. Keith Hughitt; Albert J. Shih; Daniel Ryan; Simon Liedtke; David Pérez-Suárez; Pritish Chakraborty; Vishnunarayan K; et al. (J. Open Source Softw., 2020)

Towards Large-Scale Learned Solvers for Parametric PDEs with Model-Parallel Fourier Neural Operators. - Thomas J. Grady II; Rishi Khan; Mathias Louboutin; Ziyi Yin 002; Philipp A. Witte; Ranveer Chandra; Russell J. Hewett; Felix J. Herrmann (CoRR, 2022)

SciAI4Industry - Solving PDEs for industry-scale problems with deep learning. - Philipp A. Witte; Russell J. Hewett; Kumar Saurabh; Amir Hossein Sojoodi; Ranveer Chandra (CoRR, 2022)

Model-parallel Fourier neural operators as learned surrogates for large-scale parametric PDEs. - Thomas J. Grady II; Rishi Khan; Mathias Louboutin; Ziyi Yin 002; Philipp A. Witte; Ranveer Chandra; Russell J. Hewett; Felix J. Herrmann (Comput. Geosci., 2023)

Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone. - Marah I Abdin; Sam Ade Jacobs; Ammar Ahmad Awan; Jyoti Aneja; Ahmed Awadallah 001; Hany Awadalla; Nguyen Bach; Amit Bahree; Arash Bakhtiari; Harkirat S. Behl; Alon Benhaim; Misha Bilenko; et al. (CoRR, 2024)

Phi-4 Technical Report. - Marah I Abdin; Jyoti Aneja; Harkirat S. Behl; Sébastien Bubeck; Ronen Eldan; Suriya Gunasekar; Michael Harrison; Russell J. Hewett; Mojan Javaheripi; Piero Kauffmann; James R. Lee; Yin Tat Lee; et al. (CoRR, 2024)

Pseudo-Asynchronous Local SGD: Robust and Efficient Data-Parallel Training. - Hiroki Naganuma; Xinzhi Zhang 002; Man-Chung Yue; Ioannis Mitliagkas; Philipp A. Witte; Russell J. Hewett; Yin Tat Lee (CoRR, 2025)

Power Stabilization for AI Training Datacenters. - Esha Choukse; Brijesh Warrier; Scot Heath; Luz Belmont; April Zhao; Hassan Ali Khan; Brian Harry; Matthew Kappel; Russell J. Hewett; Kushal Datta; Yu Pei; Caroline Lichtenberger; et al. (CoRR, 2025)