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We have 12 Computational Chemistry (direct) PhD Projects, Programmes & Scholarships

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Computational Chemistry (direct) PhD Projects, Programmes & Scholarships

We have 12 Computational Chemistry (direct) 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

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

Predictive molecular models of high-performance elastomers in demanding environments

High-performance elastomers enable some of the most sophisticated modern technology. They are designed to operate in the often-punishing environments such as those encountered in aerospace industries. 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

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
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