A Novel Data-Driven Model for Real-Time Influenza Forecasting. - Siva R. Venna; Amirhossein Tavanaei; Raju N. Gottumukkala; Vijay V. Raghavan 001; Anthony S. Maida; Stephen Nichols (IEEE Access, 2019)

Investigating Prosodic Variation in British English Varieties using ProPer. - Hae-Sung Jeon; Stephen Nichols (INTERSPEECH, 2022)

Frontier: Exploring Exascale. - Scott Atchley; Christopher Zimmer 001; John Lange; David E. Bernholdt; Verónica G. Melesse Vergara; Thomas Beck; Michael J. Brim; Reuben D. Budiardja; Sunita Chandrasekaran; Markus Eisenbach 002; Thomas M. Evans 001; Matthew Ezell; et al. (SC, 2023)

Experiences readying applications for Exascale. - Nicholas Malaya; Bronson Messer; Joseph Glenski; Antigoni Georgiadou; Justin Lietz; Kalyana C. Gottiparthi; Marc Day; Jackie Chen; Jon S. Rood; Lucas Esclapez; James B. White III; Gustav R. Jansen; et al. (SC, 2023)

Ready for the Frontier: Preparing Applications for the World's First Exascale System. - Reuben D. Budiardja; Mark A. Berrill; Markus Eisenbach 002; Gustav R. Jansen; Wayne Joubert; Stephen Nichols; David M. Rogers 001; Arnold N. Tharrington; O. E. Bronson Messer (ISC, 2023)

Experiences Readying Applications for Exascale. - Paul T. Bauman; Reuben D. Budiardja; Dmytro Bykov; Noel Chalmers; Jacqueline Chen; Nicholas Curtis; Marc Day; Markus Eisenbach 002; Lucas Esclapez; Alessandro Fanfarillo; William Freitag; Nicholas Frontiere; et al. (CoRR, 2023)

GPU-enabled extreme-scale turbulence simulations: Fourier pseudo-spectral algorithms at the exascale using OpenMP offloading. - P. K. Yeung; Kiran Ravikumar; Stephen Nichols; Rohini Uma-Vaideswaran (Comput. Phys. Commun., 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)