Predicting binding motifs of complex adsorbates using machine learning with a physics-inspired graph representation. - Wenbin Xu; Karsten Reuter; Mie Andersen (Nat. Comput. Sci., 2022)

Machine learning speeds up search for surface structure. - Mie Andersen (Nat. Comput. Sci., 2023)

LG-Sleep: Local and Global Temporal Dependencies for Mice Sleep Scoring. - Shadi Sartipi; Mie Andersen; Natalie Hauglund; Celia Kjaerby; Verena Untiet; Maiken Nedergaard; Müjdat Çetin (CoRR, 2024)

Breaking scaling relations with inverse catalysts: a machine learning exploration of trends in CO2 hydrogenation energy barriers. - Luuk H. E. Kempen; Marius Juul Nielsen; Mie Andersen (CoRR, 2025)

Transition States Energies from Machine Learning: An Application to Reverse Water-Gas Shift on Single-Atom Alloys. - Raffaele Cheula; Mie Andersen (CoRR, 2025)