Essays about: "atomistic model"
Showing result 1 - 5 of 11 essays containing the words atomistic model.
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1. Spin-Glass Behaviour in Ordered Solids
University essay from Uppsala universitet/MaterialteoriAbstract : The spin-glass is a peculiar magnetic phase, exhibiting non-trivial dynamics at low temperatures, characterized by an continuously evolving state without long-range order. The behavior requires some degree of disorder to occur, often in the way of impurities or random exchange energy between the spins. READ MORE
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2. The Magnetocaloric Effect in Antiferromagnetic and Noncollinear Magnets
University essay from Uppsala universitet/MaterialteoriAbstract : The magnetocaloric effect (MCE) is the temperature change in a magnetic material due to a change in an applied magnetic field. How the MCE behaves in different magnetic materials and at different phase transitions is fundamental to understand. READ MORE
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3. Automating Water Orientation in Neutron Crystallography using Convolutional Neural Networks
University essay from Lunds universitet/Matematik LTHAbstract : One important aspect of determining the functionality of proteins is to find the direction of the dipole moment of surrounding water molecules. This is equivalent to finding the position of the hydrogen in water, however with the current atomistic model building tools this is a tedious and time-consuming task. READ MORE
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4. Establishing simulations of shockwaves in InSb using molecular dynamics
University essay from Lunds universitet/Atomfysik; Lunds universitet/Fysiska institutionenAbstract : Laser induced shockwaves have previously been shown to prompt structural changes in germanium. Similar experiments have now been performed in InSb, with powder diffraction patterns displaying a peak at 2.3Å indicating the formation of an unknown structure. READ MORE
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5. Combined CALPHAD and Machine Learning for Property Modelling
University essay from KTH/MaterialvetenskapAbstract : Techniques to improve the speed at which materials are researched and developed has been conducted by investigating the machine learning methodology. These techniques offer solutions to connect the length scales of material prop- erties from atomistic and chemical features using materials databases generated from collected data. READ MORE