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We have 37 Computational Chemistry (self) PhD Projects, Programmes & Scholarships

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Computational Chemistry (self) PhD Projects, Programmes & Scholarships

We have 37 Computational Chemistry (self) PhD Projects, Programmes & Scholarships

Reaction Monitoring and Structural Characterisation of Coordination Driven Self-Assembled Systems by Ion Mobility-Mass Spectrometry

Can you envisage a world where building a new catalyst or an artificial enzyme is like following an architectural plan for building a house? This is difficult as we don't even fully understand the construction materials! We research the properties of molecular building-blocks and their "constructed" aggregates, towards drawing up these type of blueprints. Read more

Design and control of nanoparticle structuring and self-organisation

Nature forms many materials which possess intricate structures on length scales from nanometres to many microns, which are important in applications ranging from biological systems to porous materials for energy storage. Read more

Design and study of modified peptide foldamers

These projects are open to students worldwide, but have no funding attached. Therefore, the successful applicant will be expected to fund tuition fees at the relevant level (home or international) and any applicable additional research costs. Read more

New Methods for modelling cofactor-dependent enzyme structure and function

Enzymes are Nature’s catalysts and many used cofactors and/or coenzymes to catalyse their reactions. While AI and homology methods now often allow the useful prediction of protein structure from amino acid sequence, this can be more challenging when the protein/enzyme contain cofactors. Read more

PhD in Chemistry: Structural effects in alternating biodegradable polymers

Dr Alison Paul Dr Alison Paul - People - Cardiff University is looking for a PhD student to join the Soft Matter Research Group for a project on “Structural effects in alternating biodegradable polymers”. Read more

Atomistic Simulations of Surface Chemistry underpinning the Atomic-Scale Processing of Materials for AI-driven Nanoelectronics Applications

Project description. Atomic layer deposition (ALD) and atomic layer etching (ALE) are crucial technologies in semiconductor processing, especially as nanoelectronics devices become smaller and more complex. Read more

Accelerated Inorganic Materials Discovery Driven by Magnetic Resonance

This studentship will explore experimental and computational Nuclear Magnetic Resonance (NMR) spectroscopy approaches to probe the fast oxide ion transport (e.g., self-diffusion coefficients, diffusion pathways, dimensionality of motion) of oxide in inorganic materials aimed at establishing design rules for the discovery of next generation fast conductors. Read more

Computational Screening of Supercapacitors

In order to be self-sufficient with relatively constant energy output, renewable energy sources, such as solar and wind, require that energy be stored during periods of high energy production so that it can be available during periods of low or zero energy production. Read more

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