Deep Learning for Multi-Messenger Astrophysics: A Gateway for Discovery in the Big Data Era. - Gabrielle Allen; Igor Andreoni; Etienne Bachelet; G. Bruce Berriman; Federica B. Bianco; Rahul Biswas; Matias Carrasco Kind; Kyle Chard; Minsik Cho; Philip S. Cowperthwaite; Zachariah B. Etienne; Daniel George; et al. (CoRR, 2019)

Enabling real-time multi-messenger astrophysics discoveries with deep learning. - Eliu A. Huerta; Gabrielle Allen; Igor Andreoni; Javier Mauricio Antelis; Etienne Bachelet; G. Bruce Berriman; Federica B. Bianco; Rahul Biswas; Matias Carrasco Kind; Kyle Chard; Minsik Cho; Philip S. Cowperthwaite; et al. (CoRR, 2019)

Numerical generation of vector potentials from specified magnetic fields. - Zachary J. Silberman; Thomas R. Adams; Joshua A. Faber; Zachariah B. Etienne; Ian Ruchlin (J. Comput. Phys., 2019)

NRPyLaTeX: A LaTeX interface to computer algebra systems for general relativity. - Kenneth J. Sible; Zachariah B. Etienne (CoRR, 2021)

HPC-driven computational reproducibility. - Yufeng Luo; Qian Zhang; Roland Haas; Zachariah B. Etienne; Gabrielle Allen (CoRR, 2023)