Don't miss our weekly PhD newsletter | Sign up now Don't miss our weekly PhD newsletter | Sign up now

We have 28 Computational Chemistry (data science) PhD Projects, Programmes & Scholarships in the UK

Discipline

Discipline

Chemistry

Location

Location

United Kingdom

Institution

Institution

All Institutions

PhD Type

PhD Type

All PhD Types

Funding

Funding

All Funding


Computational Chemistry (data science) PhD Projects, Programmes & Scholarships in the UK

We have 28 Computational Chemistry (data science) PhD Projects, Programmes & Scholarships in the UK

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

Deep-learning for semantic-based information extraction from natural language

  Research Group: Computing, Informatics and Applications Research Group
Research Group. Computing, Informatics and Applications Research Group. Proposed supervisory team. Dr Arooj Fatima. Dr Cristina Luca. Read more

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

Molecular Simulations and Data-driven Modelling for Polymer Nanocomposite Membranes

The urgent need to mitigate climate change has led to increased focus on sustainable energy solutions. This includes the development of mixed matrix membranes (MMMs) for gas separation in net-zero applications. Read more

Computationally driving automated functional materials discovery for net zero technologies with machine reasoning and decision-making

This project, suited to a student with a Computer Science or Mathematics background, will formally define the nature and consequences of the decisions that need to be made in the automated workflow and identify both the optimal combination of existing methods and tools to accelerate discovery and the gaps in capability that currently exist. Read more

Automated experimental functional materials discovery for net zero technologies

The discovery of materials that will drive technologies for the net zero transition, such as batteries, solar absorbers, rare-earth-free magnets for wind power and myriad other unmet needs, is a scientific and societal grand challenge that requires experimental realisation of materials in the laboratory. Read more

Rational design of photo/electrocatalysts towards Green Nitrogen Fixation and Ammonia Production

In an era marked by the urgent need for sustainable solutions, this project stands at the forefront of innovation in catalysis, focusing on the rational design of photo/electrocatalysts for nitrogen fixation and ammonia production. 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

High-throughput characterization and engineering of nucleotide synthases for production of nucleoside analogues

Nucleotides are the building blocks of life, modulating diverse processes from protein production to cell signalling. It is therefore unsurprising that synthetic nucleoside analogues have been developed as therapeutics for the treatment of a wide range of diseases including cancers and viral infections. Read more

Filtering Results