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We have 18 Computational Chemistry (high performance computing) PhD Projects, Programmes & Scholarships

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Computational Chemistry (high performance computing) PhD Projects, Programmes & Scholarships

We have 18 Computational Chemistry (high performance computing) PhD Projects, Programmes & Scholarships

Designing Structured Surfaces with Superwettability Properties

The wetting behaviours of liquids on solid surfaces play an important role for a wide range of engineering applications, including coatings, electronics, oil recovery, microfluidics, and inkjet printing. Read more

High-throughput first-principle simulations of charge transport in organic semiconductors

This project focuses on application of first-principle, fully quantum simulation methods such as Hybrid Monte-Carlo to study charge transport in a vast class of quasi-2D molecular organic semiconductors (rubrene, pentacene, and >4000 other materials). 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

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

Deploying safer robot chemists in real laboratory environments

Robotic chemists [1] are a totally new and disruptive development in human-centric labs, and these systems are already beginning to carry out complex experiments that require skills beyond sample transportation (e.g., sample weighing [2] and scraping samples from vials [3]. 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

Programming Colloidal Self-Assembly for Advanced Materials

A PhD place is available with Dr Dwaipayan Chakrabarti in the School of Chemistry at the University of Birmingham on a project themed on designing and developing colloidal advanced materials, using high-performance computing, underpinned by theories of statistical mechanics and wave propagation in periodic structures. 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

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