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We have 31 Computational Chemistry (computational physics) PhD Projects, Programmes & Scholarships

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Computational Chemistry (computational physics) PhD Projects, Programmes & Scholarships

We have 31 Computational Chemistry (computational physics) PhD Projects, Programmes & Scholarships

Machine Learning and Molecular Modelling in Mass Spectrometry

This PhD project will harness the power of computational modelling and machine learning (A.I.) to analyse data obtained by mass spectrometry experiments and predict structural characteristics of biomolecules and their interactions. Read more

Antimatter Chemistry: computational studies of matter-antimatter interactions

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

Predicting drug solubility in different solvents using molecular simulation and machine learning

Predicting the solubility of complex drug-like molecules is crucial at several stages of the drug discovery and manufacture. In particular, solvent selection has been highlighted as a crucial step in process design and optimisation [1]. Read more

Application of Linear-Scaling Quantum Mechanics Methods to Hydrogen Transport Through Complex Materials

Supervisory Team. Chris-Kriton Skylaris (80%) Jeremy Frey (20%). Project Description. The computational simulation of chemical reactions in materials requires an accurate, explicit description of their electrons. 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

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