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Atomic-resolution elemental mapping of precipitates in a 7449 aluminium alloy
(Peer reviewed; Journal article, 2014)The high-strength weldable 7xxx series of aluminium alloys are of great importance to the aeronautics industry. Only recently, the complex structures of the AlZnMg hardening precipitates have been solved by HAADFSTEM imaging ... -
Atomistic approach to simulate kink migration and kink-pair formation in silicon: The kinetic activation-relaxation technique
(Peer reviewed; Journal article, 2019)The energy conversion efficiency of solar cells based on multicrystalline silicon is greatly deteriorated by dislocations. However, an in-depth understanding on the dislocation motion dynamics down to atomic scale is still ... -
Atomistic details of precipitates in lean Al–Mg–Si alloys with trace additions of Ag and Ge studied by HAADF-STEM and DFT
(Peer reviewed; Journal article, 2017)Bonding energies and volume misfits for alloying elements and vacancies in multicomponent Al–Mg–Si alloys have been calculated using density functional theory (DFT). A detailed atomic scale analysis has been done for ... -
Attaining Low Lattice Thermal Conductivity in Half-Heusler Sublattice Solid Solutions: Which Substitution Site Is Most Effective?
(Peer reviewed; Journal article, 2022)Low thermal conductivity is an important materials property for thermoelectricity. The lattice thermal conductivity (LTC) can be reduced by introducing sublattice disorder through partial isovalent substitution. Yet, ... -
An Attempt to Estimate the Sulfuric Acid Dewpoint in the Flue Gas from Aluminium Electrolysis Cells
(Peer reviewed; Journal article, 2022)The sulfuric acid dew point in the flue gas from aluminium electrolysis cells increases with increasing concentrations of sulfur dioxide and water vapour. This represents a potential problem in a future scenario with reduced ... -
Attitudes in Norwegian insurance companies towards sharing loss data – Public-private cooperation for improved climate adaptation
(Klima 2050 Report;11, Research report, 2018)Background and research questions Research has shown that loss data on asset level from insurance companies have high utility value for local municipalities. These data can foster better understanding of the risks linked ... -
Audio augmented reality in public transport for exploring tourist sites
(Chapter, 2018)Audio augmented reality (AR) has a long research tradition in the tourism industry. Audio AR tour guides for urban environments provide location-based, auditory information about nearby sights, minimising distractions from ... -
Augmented Reality and Virtual Reality for Retail Innovation
(Journal article; Peer reviewed, 2018)Nye og bedre Augmented Reality (AR) og Virtual Reality (VR) applikasjoner utvikles helle tiden og brukes mer og mer i handel. Utvikling i AR and VR i løpet av de siste årene satt i gang mange innovasjoner i måten handelen ... -
The AutoActive Research Environment
(Peer reviewed; Journal article, 2022)ARE consists of three different software modules; ActivityPresenter, a Matlab toolbox, and a Python toolbox. ActivityPresenter is created to simplify the process of visualising, synchronising, and organising data, such as ... -
AutoConf: Automated Configuration of Unsupervised Learning Systems using Metamorphic Testing and Bayesian Optimization
(Chapter, 2023)Unsupervised learning systems using clustering have gained significant attention for numerous applications due to their unique ability to discover patterns and structures in large unlabeled datasets. However, their ... -
Autogenous deformation and relative humidity - Concrete with Aalborg Portland cement and fly ash
(COIN Project report;24, Research report, 2010)This report summarizes the results from a series of experiments carried out in 7 new dilations rigs measuring autogenous deformation in concrete. The intention was to find a relation between autogenous deformation and ... -
AutomAl 6000: Semi-automatic structural labelling of HAADF-STEM images of precipitates in Al–Mg–Si(–Cu) alloys
(Peer reviewed; Journal article, 2022)When the Al–Mg–Si(–Cu) alloy system is subjected to age hardening, different types of precipitates nucleate depending on the composition and thermomechanical treatment. The main hardening precipitates extend as needles, ... -
Automated 3D burr detection in cast manufacturing using sparse convolutional neural networks
(Peer reviewed; Journal article, 2022)For automating deburring of cast parts, this paper proposes a general method for estimating burr height using 3D vision sensor that is robust to missing data in the scans and sensor noise. Specifically, we present a novel ... -
Automated Multi-Skill Shift Design for Hospitals
(Journal article; Peer reviewed, 2010)For labour intensive organizations, finding a good match between the predicted workload and the scheduled workforce work capacity is crucial: One important step in this matching process is shift design and it have received ... -
Automated shuttle services in public transport. Lessons learned from the smart feeder research project in Norway
(Conference object, 2020)Backround. Automated mobility services hold a potential to change the way transport is performed, giving rise to previously unknown possibilities, but also new challenges as well. The technology push is significant, as the ... -
Automated tracking of cell migration in phase contrast images with CellTraxx
(Peer reviewed; Journal article, 2023)The ability of cells to move and migrate is required during development, but also in the adult in processes such as wound healing and immune responses. In addition, cancer cells exploit the cells’ ability to migrate and ... -
Automatic Classification of Sub-Techniques in Classical Cross-Country Skiing Using a Machine Learning Algorithm on Micro-Sensor Data
(Journal article; Peer reviewed, 2018)The automatic classification of sub-techniques in classical cross-country skiing provides unique possibilities for analyzing the biomechanical aspects of outdoor skiing. This is currently possible due to the miniaturization ... -
Automatic GNSS RFI Classification Challenges
(Journal article, 2022)This article describes the real-world challenges that are encountered when trying to automatically categorize and classify the radio frequency interference (RFI) events captured in the GNSS signal bands by an international ... -
Automatic Intraoperative Correction of Brain Shift for Accurate Neuronavigation
(Journal article; Peer reviewed, 2018)Background Unreliable neuronavigation owing to inaccurate patient-to-image registration and brain shift is a major problem in conventional magnetic resonance imaging–guided neurosurgery. We performed a prospective ... -
Automatic intraoperative estimation of blood flow direction during neurosurgical interventions
(Journal article; Peer reviewed, 2018)Purpose In neurosurgery, reliable information about blood vessel anatomy and flow direction is important to identify, characterize, and avoid damage to the vasculature. Due to ultrasound Doppler angle dependencies and the ...