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We have 16 Computer Science (molecular simulation) PhD Projects, Programmes & Scholarships

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Computer Science (molecular simulation) PhD Projects, Programmes & Scholarships

We have 16 Computer Science (molecular simulation) PhD Projects, Programmes & Scholarships

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

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

Enabling CO2 Capture and Storage Using AI

Carbon Capture and Storage (CCS) is one of the viable solutions that can effectively reduce CO. 2.  emissions from hard to decarbonise industries (e.g., steel, cement, power generation). Read more

Mathematical Machine Learning for Molecular Modeling

Project description. This PhD project aims to develop Machine Learning methods for Molecular Modeling with a particular focus on aspects relevant to dynamics preserving coarse-graining strategies. Read more

Computational Screening of Supercapacitors

In order to be self-sufficient with relatively constant energy output, renewable energy sources, such as solar and wind, require that energy be stored during periods of high energy production so that it can be available during periods of low or zero energy production. Read more

Understanding the ecological and evolutionary effects of heatwaves in tropical species and ecological communities

Heatwaves are considered one of the most threatening processes for our plants and animal species as the Earth’s climate warms. There is much to understand about how our species and the ecological communities they form will change and adapt through heatwaves. 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

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