Searched for: contributor%3A%22Sluiter%2C+M.H.F.+%28mentor%29%22
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Meijer, Ernst (author)
With high global ambitions for sustainability and circularity and increasing energy prices, the recycling industry keeps innovating to keep up with political goals and customer demand. Reducing the energy consumption in the recycling process reduces environmental impact and reduces financial costs for the customer. A energy intensive process...
master thesis 2024
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Qin, Xusen (author)
Neural networks have made significant progress in domains like image recognition and natural language processing. However, they encounter the challenge of catastrophic forgetting in continual learning tasks, where they sequentially learn from distinct datasets. Learning a new task can lead to forgetting important information from previous tasks,...
master thesis 2024
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Kadir, Sezen (author)
Quantum computing has gained a lot of interest from researchers and industry due to its great potential to solve some complex problems in various fields. One of the biggest challenges is developing hardware suitable for the extremely low operation temperatures required by quantum computers. Specifically, the wiring material of a quantum computer...
master thesis 2023
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Zhang, Yixuan (author)
The lack of a decent solid-state ionic conductor has hindered the large-scale application of solid-state batteries, which are considered to be the potential game changer for energy transition. The recently reported K doping CsPbF3 material system has shed light on this problem. This material possesses high ionic conductivity and a wide...
master thesis 2023
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van Linn, Joseph (author)
Snow is a natural hazard to human life and infrastructure. This motivates current research efforts to understand the granular material. The material point method models snow as a continuum. Application length scales range from the microstructural level to full scale avalanches. This conventional numerical method relies on solely spatially local...
master thesis 2023
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Hopman, Luuk (author)
Asphalt concrete is one of the most widely used materials in modern road construction. Predicting its functional properties is crucial in the design of new asphalt concrete mixtures. However, current prediction models are limited in accuracy and applicability due to the complex nature of asphalt concrete properties. This thesis researches the...
master thesis 2023
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Jarc, Katja (author)
High entropy alloys (HEAs) are new potential materials for hydrogen storage applications which could help with the transition towards sustainable energy sources. The rate of hydrogen kinetics is one of the material properties that is important for the storage and other hydrogen related applications. One of the limiting factors on the rate of...
master thesis 2022
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Potjer, Mark (author)
Master thesis about machine learning in materials science
master thesis 2022
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Beeker, Ide (author)
Interest in transition metal surfaces has grown in fields such as catalysts and semiconductors. Models of initial adsorption and growth of adsorbates are used to verify if certain structures are formed. Structural complexity and diversity of overlayers often determines this growth. Understanding the difference between a clean single crystal...
master thesis 2021
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Viswanathan, Narasimhan (author)
Fossil fuels have been the primary source of rising energy requirements for humankind. However, the extensive use of fossil fuels has led to an increase in Earth's surface temperature. To tackle rising energy demands and the increase in Earth's surface temperature, various organizations like Inter-governmental Panel for Climate Change and the...
master thesis 2020
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Zhang, Zhuangyan (author)
This thesis demonstrates the feasibility of Extreme-ultraviolet (XUV) high-harmonic generation from structured silica, and was performed at the Advanced Research Centre for Nanolithography (ARCNL). The project focuses on High-harmonic generation (HHG) from condensed matter, and further explores the possibility of high-harmonic generation from...
master thesis 2020
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De Jong, M. (author)
This thesis studies precipitation processes in the Aluminium 7000 series using quantum mechanical total energy calculations. The emphasis is laid on studying the energetics of the various transient phases involved in precipitation of the 5 most important strengthening precipitates. Bulk, strain and interface effects are studies separately, in...
master thesis 2010
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