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“The Cavendish Women in Physics have made unparalleled contributions to the Cavendish Laboratory’s extraordinary history of discovery and innovation in Physics and continue to do so.”
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Artist’s illustration of the entrance of the Ray Dolby Centre. Credit: Jestico + Whiles
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These fields encompass a variety of research groups, each with its own scientific aims and ambitions but united by two common goals:
Click on each of the themes to learn more about our researchers and their work.
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No Fields Found.Image / media short description<
Most of our AI models and dataset contributions have been incorporated into the Royce’s Digital Materials Foundry, an important initiative by Henry Royce Institute designed to accelerate the digitalisation of materials innovation across the UK.
Digital Materials FoundryOur group has created a range of domain-specific language models for materials science applications, most of which are available on our Hugging Face group repository.
This repository also contains large datasets comprising pairs of questions and answers about materials and their cognate properties sourced from the academic literature, for delivering materials science via prompt engineering tasks.
Hugging Face repositoryOur group has created a series of large materials datasets of experimental data for the global materials research community using our ChemDataExtractor text-mining tool:
292,000 records | Paper (copy link): https://doi.org/10.1038/s41597-020-00602-2
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186,000 records | Paper (copy link): https://doi.org/10.1038/s41597-022-01355-w
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720,000 records | Paper (copy link): https://doi.org/10.1038/s41597-024-03979-6
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56,000 records | Paper (copy link): https://doi.org/10.1038/s41597-025-06244-6
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23,000 records | Paper (copy link): https://doi.org/10.1038/s41597-022-01752-1
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16,000 records | Paper (copy link): https://doi.org/10.1038/s41597-023-02511-6
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18,000 records | Paper (copy link): https://doi.org/10.1038/s41597-019-0306-0
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