Essays about: "moment magnitude"
Showing result 1 - 5 of 24 essays containing the words moment magnitude.
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1. Modelling Magnetism of hcp Iron under Earth’s Inner Core Conditions : Based on first-principle DFT calculations and Machine Learning
University essay from Linköpings universitet/Teoretisk FysikAbstract : The structure of Earth’s core remains largely a mystery. The solid inner core is believed to exist in extreme pressure and temperature conditions comparable to 300 GPa and 6000 K and consists mainly of iron, Fe. READ MORE
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2. Sustaining Orientation of Ubiquitin for Single Particle Imaging Using Electric Fields
University essay from Uppsala universitet/Kemisk och biomolekylär fysik; Uppsala universitet/Energimaterialens fysikAbstract : Single-particle imaging, or SPI, is a method used to obtain the three-dimensional structure of particles. Repeatedly aiming X-rays at samples of a particle produces diffraction patterns, which are combined to a best-fit three-dimensional model of the particle. SPI of proteins can be improved by orienting the protein before imaging. READ MORE
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3. Magnetic Moment Characterization for Small Satellites
University essay from Luleå tekniska universitet/RymdteknikAbstract : Small satellites are gaining popularity in a wide range of applications where attitude systems require high precision performance. One of the main sources of errors, in case of magnetic attitude control systems, is the residual magnetic moment (RMM) of the spacecraft. READ MORE
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4. Design of column bases concerning bending and shear nibs
University essay from KTH/Byggteknik och designAbstract : The purpose of the thesis is to find out how to design column bases with conventional methods presented by European standards and codes, but above all from the Steel Construction Institute's handbook on structural joints and compare it with finite element analyses. However, today there are no good instructions for how column bases exposed to multiaxial bending should be designed, where assumptions based on structural mechanics also was compared with computer tools. READ MORE
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5. Accelerating bulk material property prediction using machine learning potentials for molecular dynamics : predicting physical properties of bulk Aluminium and Silicon
University essay from Linköpings universitet/Teoretisk FysikAbstract : In this project machine learning (ML) interatomic potentials are trained and used in molecular dynamics (MD) simulations to predict the physical properties of total energy, mean squared displacement (MSD) and specific heat capacity for systems of bulk Aluminium and Silicon. The interatomic potentials investigated are potentials trained using the ML models kernel ridge regression (KRR) and moment tensor potentials (MTPs). READ MORE