THz-induced switching antiferromagnets Jan 3, 2023 - Jul 2, 2023
The proposed work will support part of the EPSRC-funded New Investigator Award project, EP/T027916/1, focused on theoretical modelling of THz-frequency laser driven dynamics in magnetic materials. The project, in collaboration with the high-performan...
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All Projects (28)
Additional scholarship funding for MSc in AI and Data Science Jan 1, 2023 - Dec 31, 2023
This is GBP 60,000 of bonus funding for the MSc in AI and Data Science from the Office for Students. Awarded 25/Oct/2022.
Postgraduate conversion courses in AI and Data Science Apr 1, 2020 - Jul 31, 2023
STFC Introductory Astronomy School - 2023 Mar 1, 2023 - Sep 30, 2023
Blended programme of education and research for ~100 1st year postgraduate students from around the country, to be held the final week of August 2021; competitive grant process through STFC; Hull previously awarded £42k to run the 2016 training schoo...
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Spin-wave implementation within the VAMPIRE software package Jun 1, 2024 - May 31, 2025
Overview: Vampire [1,3] is a UK-based spin dynamics software package, that provides state-of-the-art atomistic spin dynamics (ASD) simulations and can model complex magnetic materials (ferromagnetic, ferrimagnetic, antiferromagnetic and frustrated sp...
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Simulating the Vibrational Dynamics and Electronic Structure of Molecules with Quantum Computing Oct 1, 2023 - Sep 30, 2026
Development of theoretical and computational strategies for making Quantum Computing (QC) applicable to the full quantum description of matter.
iCASE PhD studentship with QinetiQ (via Newcastle University) Jan 1, 2024 - Dec 31, 2027
A research project into the uses of auxiliary knowledge for identifying hallucinations, falsehoods, contradictions, and missing knowledge in Large Language Model (LLM) outputs, and on improving LLM inference, training, and architecture for improving...
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iCASE PhD Studentship with QinetiQ Jan 1, 2024 - Dec 31, 2027
A research project into the uses of auxiliary knowledge for identifying hallucinations, falsehoods, contradictions, and missing knowledge in Large Language Model (LLM) outputs, and on improving LLM inference, training, and architecture for improving...
Read More about iCASE PhD Studentship with QinetiQ.