Will Artificial Intelligence supersede Earth System and Climate Models? - Christopher Irrgang; Niklas Boers; Maike Sonnewald; Elizabeth A. Barnes; Christopher Kadow; Joanna Staneva; Jan Saynisch-Wagner (CoRR, 2021)

Objective discovery of dominant dynamical processes with intelligible machine learning. - Bryan E. Kaiser; Juan A. Saenz; Maike Sonnewald; Daniel Livescu (CoRR, 2021)

Towards neural Earth system modelling by integrating artificial intelligence in Earth system science. - Christopher Irrgang; Niklas Boers; Maike Sonnewald; Elizabeth A. Barnes; Christopher Kadow; Joanna Staneva; Jan Saynisch-Wagner (Nat. Mach. Intell., 2021)

Explainable Artificial Intelligence for Bayesian Neural Networks: Towards trustworthy predictions of ocean dynamics. - Mariana C. A. Clare; Maike Sonnewald; Redouane Lguensat; Julie Deshayes; Venkatramani Balaji (CoRR, 2022)

Automated identification of dominant physical processes. - Bryan E. Kaiser; Juan A. Saenz; Maike Sonnewald; Daniel Livescu (Eng. Appl. Artif. Intell., 2022)

Southern Ocean Dynamics Under Climate Change: New Knowledge Through Physics-Guided Machine Learning. - William Yik; Maike Sonnewald; Mariana C. A. Clare; Redouane Lguensat (CoRR, 2023)

The Importance of Architecture Choice in Deep Learning for Climate Applications. - Simon Dräger; Maike Sonnewald (CoRR, 2024)

A Moonshot for AI Oracles in the Sciences. - Bryan E. Kaiser; Tailin Wu; Maike Sonnewald; Colin Thackray; Skylar Callis (CoRR, 2024)

Building Understandable Messaging for Policy and Evidence Review (BUMPER) with AI. - Katherine A. Rosenfeld; Maike Sonnewald; Sonia J. Jindal; Kevin A. McCarthy; Joshua L. Proctor (CoRR, 2024)

Unveiling 3D Ocean Biogeochemical Provinces: A Machine Learning Approach for Systematic Clustering and Validation. - Yvonne Jenniges; Maike Sonnewald; Sebastian Maneth; Are Olsen; Boris P. Koch (CoRR, 2025)