Challenges and opportunities for a hybrid modelling approach to earth system science. - Simon See; Jeff Adie (CCF Trans. High Perform. Comput., 2021)

Reducing the Carbon Footprint of Ensemble Weather Forecasting with GPUs. - Jeff Adie; Terry Yin; Stan Posey; Simon See (TENCON, 2023)

GAIA-Chem: A Framework for Global AI-Accelerated Atmospheric Chemistry Modelling. - Jeff Adie; Cheng Siong Chin; Jichun Li 002; Simon See (PASC, 2024)

Data-driven Surface Solar Irradiance Estimation using Neural Operators at Global Scale. - Alberto Carpentieri; Jussi Leinonen; Jeff Adie; Boris Bonev; Doris Folini; Farah Hariri (CoRR, 2024)

CondensNet: Enabling stable long-term climate simulations via hybrid deep learning models with adaptive physical constraints. - Xin Wang; Juntao Yang; Jeff Adie; Simon See; Kalli Furtado; Chen Chen; Troy Arcomano; Romit Maulik; Gianmarco Mengaldo (CoRR, 2025)

XAI4Extremes: An interpretable machine learning framework for understanding extreme-weather precursors under climate change. - Jiawen Wei 002; Aniruddha Bora; Vivek Oommen; Chenyu Dong; Juntao Yang; Jeff Adie; Chen Chen; Simon See; George E. Karniadakis; Gianmarco Mengaldo (CoRR, 2025)