2019

"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