Search for dissertations about: "hafnium"
Showing result 1 - 5 of 18 swedish dissertations containing the word hafnium.
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1. On the tissue response to hafnium, titanium and thin calcium phosphate coatings
Abstract : Background: Titanium (Ti) is the gold standard material for load-bearing implants. Although high success rates have been reported for Ti implants, failures do occur. Alternative materials/surface modifications might further improve the performances of Ti implants, particularly in situations with non-optimal local tissue conditions. READ MORE
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2. Group (IV) Metal-Catalyzed Direct Amidation : Synthesis and Mechanistic Considerations
Abstract : The amide unit constitutes the backbone of proteins, and it is present in a large number of pharmaceutically active molecules, polymeric materials such as nylon and Kevlar, as well as in food additives like aspartame. Amides are produced in enormous amounts every year, thus, environmentally friendly and selective methods for their formation are of great importance. READ MORE
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3. Investigation of hafnium for biomedical applications : corrosion and tribocorrosion in simulated body fluids
Abstract : Metals have excellent properties, such as high strength, ductility and toughness, which make them the material of choice for many biomedical applications. However, the main drawback of metals is their general tendency to corrode, which is an important factor when they are used as biomaterials due to the corrosive nature of the human body. READ MORE
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4. CVD and ALD of Group IV- and V-Oxides for Dielectric Applications
Abstract : Due to the constantly decreasing dimensions of electronic devices, the conventional dielectric material in transistors and capacitors, SiO2, has to be replaced by a material with higher dielectric constant. Some of the most promising candidates are tantalum oxide,Ta2O5, zirconium oxide, ZrO2 and hafnium oxide, HfO2. READ MORE
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5. Ferroelectric Memristors - Materials, Interfaces and Applications
Abstract : The backbone of modern computing systems rely on two key things: logic and memory, and while computing power hasseen tremendous advancements through scaling of the fundamental building block – the transistor, memory access hasn’tevolved as rapidly, leading to significant memory-bound systems. Additionally, the rapid evolution of machine learningand deep neural network (DNN) applications, has exposed the fundamental limitations of the traditional von Neumanncomputing architecture, due to its heavy reliance on memory access. READ MORE