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We have 21 Computational Chemistry (data analysis) PhD Projects, Programmes & Scholarships

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Computational Chemistry (data analysis) PhD Projects, Programmes & Scholarships

We have 21 Computational Chemistry (data analysis) PhD Projects, Programmes & Scholarships

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

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

A 4-year PhD studentship on “ Understanding The Property-structure Relationship Through Combined XANES/DFT Structure Simulation”

Supervisors. Prof Gopinathan Sankar (UCL), Prof Furio Cora (UCL) and Huw Marchbank (Johnson Matthey PLC). A 4 year PhD studentship is available in the Department of Chemistry, University College London, which will commence in September 2024. . 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

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

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

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

(University of Manchester - University of Tokyo Dual Award) Light- and Pressure-Controllable Magnets

This project tackles the complex interplay between light, pressure and magnetism, which lies at the heart of modern materials science, through the exploration of light- and pressure-responsive molecular magnets. Read more
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Computational simulation of nanomedicine for coronary microvascular disease

This is a four year collaborative studentship which requires the candidate to spend two full years based at Coventry University (UK) and two years based at A*STAR Research Institute (Singapore). 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

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