2023
Tidligere
Topological Phases and the Kitaev Chain
FPGA based hardware accelerator for plasma parameter inference
Energi i fysikk – En analyse av forvaltningen av kjerneelementet «energi og energioverføring» i to læreverk
Development of a floating probe instrument to measure spacecraft charging
Development of a FPGA readout system for the 4D-space m-NLP payload
Ultra Low Power Digital Oscillator with Dynamic Leakage Suppression and compensation
Predicting Substorm Onsets From Auroral Dynamics Using Machine Learning
Localization and Identification of Neural Sources from Simulated EEG Signals
A Comparison of Deep Learning Models for the Prediction of Responses in Primary Visual Cortex
Quantum Vortex Reconnection and Kelvin Waves
Improving image sensor performance by developing on-chip machine learning algorithms
Frequency Σ ∆ Modulator with ultra-low power supplies towards sub-100 mV
Prospects for di-Higgs searches in the γγ + multi-lepton decay channel using HL-LHC data with the ATLAS detector
Calibration Procedure for the SiRi Particle Telescope and CACTUS Scintillator Array
Design of RF front-end circuits for an UWB direct-RF receiver
Exploring Bayesian inference methods on spike trains for model parameter estimation
Investigation of immunosuppressive signals in response to irradiation in murine oral cancer cell lines
Assessing Methods for Lifetime Measurements in Neutron-Rich Mass ∼ 100 Nuclei Using FATIMA
Exploring The Impact Of Dimension-8 Operators In A Higgs Effective Field Theory Framework
Finite Temperature Decay Rates and Thermal Field Theory
Dipole Resonances in the Well-Deformed Even-even Samarium (152,154Sm) Isotopes.
Using Machine Learning to Predict the Effects of Deep Brain Stimulation on Axonal Pathways
Excotic ground states in the honeycomb J1-J2 Heisenberg model
Approaching Strictly Localized Optical States
Study of Ultra-Fast Laser Cooling of Positronium For Future Laser Developments at The AEgIS Experiment at CERN