• Prospects of federated machine learning in fluid dynamics 

      San, Omer; Pawar, Suraj; Rasheed, Adil (Peer reviewed; Journal article, 2022)
      Physics-based models have been mainstream in fluid dynamics for developing predictive models. In recent years, machine learning has offered a renaissance to the fluid community due to the rapid developments in data science, ...
    • Tailoring the magnetic order in a supermagnetic metamaterial 

      Slöetjes, Samuel Dingeman; Urdahl, Hans Henrik; Grepstad, Jostein; Folven, Erik (Journal article; Peer reviewed, 2017)
      The emergent magnetism in close-packed assemblies of interacting superparamagnetic particles is commonly referred to as supermagnetism. The magnetic characteristics of such systems are determined by the dipolar coupling ...