| 4 | -- | 5 | Jeffrey C. Carver, Nasir U. Eisty, Hai Ah Nam, Irina Tezaur. Special Issue on the Future of Research Software Engineers in the United States - Part I |
| 6 | -- | 13 | William F. Godoy, Ritu Arora, Keith Beattie, David E. Bernholdt, Sarah E. Bratt, Daniel S. Katz, Ignacio Laguna, Amiya K. Maji, Addi Malviya-Thakur, Rafael M. Mudafort, Nitin Sukhija, Damian W. I. Rouson, Cindy Rubio-González, Karan Vahi. Giving Research Software Engineers a Larger Stage Through the Better Scientific Software Fellowship |
| 14 | -- | 23 | Addi Malviya-Thakur, David E. Bernholdt, William F. Godoy, Gregory R. Watson, Mathieu Doucet, Mark A. Coletti, David M. Rogers, Marshall T. McDonnell, Jay Jay Billings, Barney Maccabe. Research Software Engineering at Oak Ridge National Laboratory |
| 24 | -- | 31 | Ian A. Cosden. The Princeton University Research Software Engineering Group Model: Operational and Organizational Approaches |
| 33 | -- | 41 | Ricardo Vinuesa, Steven L. Brunton. Emerging Trends in Machine Learning for Computational Fluid Dynamics |
| 42 | -- | 52 | Ria Patel, Brandan Roachell, Silvina Caíno-Lores, Ross Ketron, Jacob Leonard, Nigel Tan, Karan Vahi, Duncan A. Brown, Ewa Deelman, Michela Taufer. Reproducibility of the First Image of a Black Hole in the Galaxy M87 From the Event Horizon Telescope Collaboration |
| 53 | -- | 63 | Matt Stack, Paul Macklin, Robert Searles, Sunita Chandrasekaran. OpenACC Acceleration of an Agent-Based Biological Simulation Framework |
| 65 | -- | 71 | Allen D. Malony, Sameer Suresh Shende. Translating High-Performance Computing Tools From Research to Practice: Experiences With the TAU Performance System |
| 72 | -- | 76 | Philippe J. Giabbanelli. Hybrid Models That Combine Machine Learning and Simulations |
| 77 | -- | 84 | Srinath Kailasa, Tingyu Wang, Lorena A. Barba, Timo Betcke. PyExaFMM: An Exercise in Designing High-Performance Software With Python and Numba |