Search for dissertations about: "physics learning"
Showing result 21 - 25 of 126 swedish dissertations containing the words physics learning.
-
21. Heterotic Compactifications in the Era of Data Science
Abstract : The goal of this thesis is to review and investigate recent applications of machine learning to problems in string theory. String theory, the leading candidate for a unification of gravity and the standard model of particle physics, requires the introduction of additional space-time dimensions. READ MORE
-
22. Quivers, superconformal field theories and higher symmetries
Abstract : Quantum field theory (QFT) currently provides our best description of the natural world. Over the past century, it has been able to accurately reproduce many experimental results to an astonishing degree of accuracy and predict the existence of new particles. Despite this, QFT suffers from several mathematical problems. READ MORE
-
23. Organic Electrode Battery Materials : A Journey from Quantum Mechanics to Artificial Intelligence
Abstract : Batteries have become an irreplaceable technology in human life as society becomes progressively more dependent on electricity. The demand for novel battery technologies has increased fast, especially with the popularisation of different portable devices. READ MORE
-
24. Nuclear safeguards directed to the application of multivariate analysis techniques to existing and future nuclear fuel cycles
Abstract : For as long as nuclear power has existed, there has been a concern for effectively safeguarding nuclear material since it was learned that it could be misused. Early on, many nations were interested in nuclear power, and therefore there was an urgent need to verify that it was only used for civilian purposes. READ MORE
-
25. Computational problem solving in university physics education : Students’ beliefs, knowledge, and motivation
Abstract : Solving physics problem in university physics education with a computational approach requires knowledge and skills in several domains, for example, physics, mathematics, programming, and modelling. These competences are in turn related to students' beliefs about these domains as well as about learning, and their motivation to learn. READ MORE