Using Computer Simulation to Understand Mutation Accumulation Dynamics and Genetic Load. - John Sanford; John Baumgardner; Wes Brewer; Paul Gibson; Walter ReMine (International Conference on Computational Science (2), 2007)

Mendel's Accountant: a biologically realistic forward-time population genetics program. - John Sanford; John Baumgardner; Wes Brewer; Paul Gibson; Walter ReMine (Scalable Comput. Pract. Exp., 2007)

An Integrated Cloud Platform for Rapid Interface Generation, Job Scheduling, Monitoring, Plotting, and Case Management of Scientific Applications. - Wesley Brewer; William Scott; John Sanford (ICCCRI, 2015)

Inference Benchmarking on HPC Systems. - Wesley Brewer; Greg Behm; Alan L. Scheinine; Ben Parsons; Wesley Emeneker; Robert P. Trevino (HPEC, 2020)

iBench: a Distributed Inference Simulation and Benchmark Suite. - Wesley Brewer; Greg Behm; Alan L. Scheinine; Ben Parsons; Wesley Emeneker; Robert P. Trevino (HPEC, 2020)

Predictions of Steady and Unsteady Flows using Machine-learned Surrogate Models. - Shanti Bhushan; Greg W. Burgreen; Joshua L. Bowman; Ian D. Dettwiller; Wesley Brewer (MLHPC/AI4S@SC, 2020)

Rotorcraft virtual sensors via deep regression. - Daniel Martínez; Wesley Brewer; Andrew Strelzoff; Andrew Wilson; Daniel Wade (J. Parallel Distributed Comput., 2020)

Streaming Detection and Classification Performance of a POWER9 Edge Supercomputer. - Wesley Brewer; Chris Geyer; Dardo Kleiner; Connor Horne (HPEC, 2021)

Production Deployment of Machine-Learned Rotorcraft Surrogate Models on HPC. - Wesley Brewer; Daniel Martínez; Mathew Boyer; Dylan Jude; Andy Wissink; Ben Parsons; Junqi Yin; Valentine Anantharaj (MLHPC@SC, 2021)

Scalable Interactive Autonomous Navigation Simulations on HPC. - Wesley Brewer; Joel Bretheim; John Kaniarz; Peilin Song; Burhman Q. Gates (HPEC, 2022)

Scalable Integration of Computational Physics Simulations with Machine Learning. - Mathew Boyer; Wesley Brewer; Dylan Jude; Ian D. Dettwiller (AI4S, 2022)

Entropy-driven Optimal Sub-sampling of Fluid Dynamics for Developing Machine-learned Surrogates. - Wesley Brewer; Daniel Martínez; Muralikrishnan Gopalakrishnan Meena; Aditya Kashi; Katarzyna Borowiec; Siyan Liu; Christopher Pilmaier; Greg W. Burgreen; Shanti Bhushan (SC Workshops, 2023)

A Digital Twin Framework for Liquid-cooled Supercomputers as Demonstrated at Exascale. - Wesley Brewer; Matthias Maiterth; Vineet Kumar; Rafal P. Wojda; Sedrick Bouknight; Jesse Hines; Woong Shin; Scott Greenwood; David Grant; Wesley Williams; Feiyi Wang (SC, 2024)

Navigating Exascale Operational Data Analytics: From Inundation to Insight. - Woong Shin; Tim Osborne; Ahmad Maroof Karimi; Rachel Palumbo; Alex May 002; Corwin Lester; Jesse Hines; Naw Safrin Sattar; Leah Huk; Scott Simmerman; Wesley Brewer; Jeffrey Miller; et al. (SC Workshops, 2024)

Visualizing an Exascale Data Center Digital Twin: Considerations, Challenges and Opportunities. - Matthias Maiterth; Wes Brewer; Dane De Wet; Scott Greenwood; Vineet Kumar; Jesse Hines; Sedrick Bouknight; Zhe Wang; Tim Dykes; Feiyi Wang (IEEE VIS, 2024)

Machine-Learned Closure of URANS for Stably Stratified Turbulence: Connecting Physical Timescales & Data Hyperparameters of Deep Time-Series Models. - Muralikrishnan Gopalakrishnan Meena; Demetri Liousas; Andrew D. Simin; Aditya Kashi; Wesley Brewer; James J. Riley; Stephen M. de Bruyn Kops (CoRR, 2024)

AI-coupled HPC Workflow Applications, Middleware and Performance. - Wes Brewer; Ana Gainaru; Frédéric Suter; Feiyi Wang; Murali Emani; Shantenu Jha (CoRR, 2024)

Scalable Artificial Intelligence for Science: Perspectives, Methods and Exemplars. - Wesley Brewer; Aditya Kashi; Sajal Dash; Aristeidis Tsaris; Junqi Yin; Mallikarjun Shankar; Feiyi Wang (CoRR, 2024)

Workflows Community Summit 2024: Future Trends and Challenges in Scientific Workflows. - Rafael Ferreira da Silva; Deborah Bard; Kyle Chard; Shaun De Witt; Ian T. Foster; Tom Gibbs; Carole A. Goble; William F. Godoy; Johan Gustafsson 001; Utz-Uwe Haus; Stephen Hudson; Shantenu Jha; et al. (CoRR, 2024)

Mixed-precision numerics in scientific applications: survey and perspectives. - Aditya Kashi; Hao Lu; Wesley Brewer; David Rogers; Michael A. Matheson; Mallikarjun Shankar; Feiyi Wang (CoRR, 2024)

Digital Twins for Data Centers. - Jyotika Athavale; Cullen E. Bash; Wesley Brewer; Matthias Maiterth; Dejan S. Milojicic; Harry Petty; Soumyendu Sarkar (Computer, 2024)

Exploring the Capabilities of the Frontier Large Language Models for Nuclear Energy Research. - Ahmed Almeldein; Mohammed Alnaggar; Rick Archibald; Tom Beck; Arpan Biswas; Rike Bostelmann; Wes Brewer; Chris Bryan; Christopher Calle; Cihangir Celik; Rajni Chahal; Jong Youl Choi; et al. (CoRR, 2025)

Towards Experiment Execution in Support of Community Benchmark Workflows for HPC. - Gregor von Laszewski; Wesley Brewer; Sean R. Wilkinson; Andrew Shao; Jacques Phillipe Fleischer; Harshad Pitkar; Christine R. Kirkpatrick; Geoffrey C. Fox (CoRR, 2025)

Data Readiness for Scientific AI at Scale. - Wesley Brewer; Patrick Widener; Valentine Anantharaj; Feiyi Wang; Tom Beck; Arjun Shankar; Sarp Oral (CoRR, 2025)

Intelligent Sampling of Extreme-Scale Turbulence Datasets for Accurate and Efficient Spatiotemporal Model Training. - Wesley Brewer; Muralikrishnan Gopalakrishnan Meena; Matthias Maiterth; Aditya Kashi; Jong Youl Choi; Pei Zhang; Stephen Nichols; Riccardo Balin; Miles Couchman; Stephen M. de Bruyn Kops; P. K. Yeung; Daniel Dotson; et al. (CoRR, 2025)