Application of a deep learning semantic segmentation model to helium bubbles and voids in nuclear materials. - S. Agarwal; A. Sawant; Muhammad Faisal 006; S. E. Copp; J. Reyes-Zacarias; Yan-Ru Lin; S. J. Zinkle (Eng. Appl. Artif. Intell., 2023)

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)