Sem Sælands vei 24
"Classical Molecular Dynamics using Neural Network Representations of Potential Energy Surfaces"
"Immunogenic calreticulin signaling in lung and glioblastoma cancer cells after x-ray and proton irradiation - Protocol development and optimization"
"Studies of Quantum Dots using Machine Learning"
"Latent Variable Machine Learning Algorithms: Applications in a Nuclear Physics Experiment"
"A Practical Approach to Compare Time Domain and Frequency Domain Bioimpedance Measurements"
"MRI based detection of time-of-day variation in white matter microstructure - are more complex diffusion models better?"
"Industrial Multi-step Time Series Forecasting with Machine Learning Methods"
"Coulomb excitation of neutron-deficient 140Sm"
"Decameter scale irregularities in the polar ionosphere"
Offset Correction for Swept Threshold Ultra-Wide-Band Sampling
Real-time quantum many-body dynamics
AQUADUCT Ab Initio Quantum Dynamics Using Coupled Cluster in Time
Learning Correlations in Quantum Mechanics with Neural Networks
"Naturforbruk og bærekraft. En diskursanalyse av NOU 2005: 5"
Embedded Development of a Wireless SoC Instrument for Electrical Impedance Spectroscopy on Cells - A Prototype Platform for Medical Applications
Efficient Annotation of Semantic Segmentation Datasets for Scene Understanding with Application to Autonomous Driving
Adaptive Power Control in Peer to Peer Networks
"Bioimpedance on ASIC: Design of a 350 nm CMOS Analog Front-End of a 4-Electrodes-Compatible Measurement System for Impedance-Based Monitoring of Cell Cultures"
Simulations and means of characterization of gravity-stabilized flow on a self-affine surface
Atomistic Modelling of Creep and Flow in Silica-Water Systems
Evaluation of image quality for metal artifact reduction reconstruction techniques using a novel quality phantom especially designed for metal artefact evaluation
Deep-level transient spectroscopy system with a response time in the microsecond time frame
Solving the mysteries of 133Xe with inverse kinematics.
Nuclear level density and Ƴ-ray strength function for 133Xe using the inverse-Oslo Method.
Solving SU(3) Yang-Mills theory on the lattice: a calculation of selected gauge observables with gradient flow