948 citations
- University of OsloNO29 papers
- Idaho National LaboratoryUS10 papers
- Centre National de la Recherche ScientifiqueFR9 papers
- Uppsala UniversitySE8 papers
- Norsk Hydro (Norway)NO6 papers
- Paul Scherrer InstituteCH6 papers
- European Spallation SourceSE5 papers
- Institut de Chimie et des Matériaux Paris-EstFR5 papers
- Université Paris-Est CréteilFR5 papers
- Kjeller Innovasjon (Norway)NO4 papers
- SINTEFNO4 papers
- University of TartuEE4 papers
5 papers · 1 filter
Disorder driven cluster glass state in a geometrically frustrated hexagonal perovskite
Shruti Chakravarty, Øystein Slagtern Fjellvåg, Arpan Bhattacharyya +2
We report the observation of cluster glass-like properties in a double perovskite ruthenate BaCoRuO through structural (neutron and synchrotron X-ray diffraction), magnetic…
Spatio-Temporal Wind Speed Forecasting using Graph Networks and Novel Transformer Architectures
Lars Ødegaard Bentsen, Narada Dilp Warakagoda, Roy Stenbro +1
This study focuses on multi-step spatio-temporal wind speed forecasting for the Norwegian continental shelf. The study aims to leverage spatial dependencies through the relative ph…
In-situ neutron diffraction during reversible deuterium loading in Ti-rich and Mn-substituted Ti(Fe,Mn)0.90 alloys
Erika Michela Dematteis, Jussara Barale, Giovanni Capurso +5
Hydrogen is an efficient energy carrier that can be produced from renewable sources, enabling the transition towards CO2-free energy. Hydrogen can be stored for a long period in th…
Role of Dy on the magnetic properties of orthorhombic DyFeO3
Banani Biswas, Veronica F. Michel, Oystein S. Fjellvag +12
Orthoferrites are a class of magnetic materials with a magnetic ordering temperature above 600 K, predominant G-type antiferromagnetic ordering of the Fe-spin system and, depending…
Wind Park Power Prediction: Attention-Based Graph Networks and Deep Learning to Capture Wake Losses
Lars Ødegaard Bentsen, Narada Dilp Warakagoda, Roy Stenbro +1
With the increased penetration of wind energy into the power grid, it has become increasingly important to be able to predict the expected power production for larger wind farms. D…