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operators links classical observables (functions on phase space) with quantum operators. Microlocal analysis also provides essential tools to rigorously define, compute, and analyse resonances, which describe
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for device functionality and reduced electrical current requirements, making them highly promising for energy efficient computing and storage technologies. This PhD project will provide novel insights
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catalysis. Computational chemistry allows the design and discovery of new molecules and theoretical understanding. This is especially important when studying the behaviour of sensitive chemicals, like
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Yuksel once the deadline passes. You will need to meet the minimum entry requirements for our PhD programme . Applicants should have, or expect to obtain, a first or upper second-class UK honours degree
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generative AI framework that utilizes machine learning predictions and quantum chemistry simulations to design stable, synthesizable, high-performance molecules. The framework will integrate multi-objective
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Electronics, will use computational simulations to study how thin films form during flowable chemical vapor deposition (FCVD), a process used to build advanced semiconductor devices. Unlike traditional CVD
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, including in liquids. Combining quantum mechanics and atomic simulation with AI-driven sampling techniques, you will determine terahertz and Raman spectrograms to directly compare to measurements obtained in
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-assisted discovery and development of semiconductor materials and devices. This exciting new field will lead to new types of quantum computers, new lasers increasing the speed of the internet, electronics