Sökning: "Minimal art"
Visar resultat 21 - 25 av 34 avhandlingar innehållade orden Minimal art.
21. Upgrading concrete bridges : post-tensioning for higher loads
Sammanfattning : There are a great number of old structures around the world, some of which were designed for completely different purposes than in their current application. Swedish railway bridges were for example only designed for maximum axle loads of 200 kN in the beginning of the 20th century, while the highest axle loads of today are twice as high. LÄS MER
22. Electron and Spin Transport in Graphene-Based Nanodevices
Sammanfattning : This thesis is devoted to the multi-scale modeling of electron and spin transport in graphene-based nanodevices. Several devices with fascinating structures and attractive properties have been designed by means of state-of-the-art computational methods, which include ab-initio molecular dynamics (MD) simulations for the geometry, density functional theory (DFT) for the electronic structure, and non-equilibrium Green’s functions (NEGF) for carriers transport properties. LÄS MER
23. Integrated microsystems for continuous glucose monitoring, interstitial fluid sampling and digital microfluidics
Sammanfattning : Interdisciplinary research between medicine and microsystem engineering creates new possibilities to improve the quality of life of patients or to further enhance the performance of already existing devices. In particular, microsystems show great potential for the realization of biosensors and sampling devices to monitor bioanalytes with minimal patient discomfort. LÄS MER
24. Studies of Voltage Losses in Organic Solar Cells
Sammanfattning : Organic photovoltaic (OPV) devices based on semiconducting polymers and small molecules are potential alternatives to inorganic solar cells, owing to their advantages of being inexpensive, lightweight, flexible and suitable for roll-to-roll production. The state of art organic solar cells (OSCs) performed power conversion efficiencies (PCEs) over 13%. LÄS MER
25. Combining ab‐initio and machine learning techniques for theoretical simulations of hard nitrides at extreme conditions
Sammanfattning : In this thesis I focus on combining the high accuracy of first-principles calculations with modern machine learning methods to make large scale investigations of industrially relevant nitride systems reliable and computationally viable. I study the electronic, thermodynamic and mechanical properties of two families of compounds: Ti1−xAlxN alloys at the operational conditions of industrial cutting tools and ReNx systems at crushing pres-sures comparable to inner earth core conditions. LÄS MER
