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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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Our group has built a range of open-source scientific software tools to serve the AI for Materials global research community, some of which continue to be developed within the research group.
A ‘chemistry-aware’ text-mining tool that auto-generates custom materials databases from scientific documents.
Online tutorials and documentation | Source code on GitHub
A tool for reading scientific text and interpreting metadata from the typeset literature in the portable document format.
Documentation | Source code on GitHub | Read the paper
A tool that extracts microscopy images from scientific documents and quantifies particle information in these images, such as particle size, shape and radial distribution.
A tool that extracts 2-D schematic diagrams of chemical reactions from documents and resolves the reactant, product, intermediate(s), reaction conditions and labels.
Read the paper | Source code on GitHub
A tool that extracts images of 2-D chemical schematic diagrams from documents, matches each molecule to its label in the diagram, resolving R-groups where present, and converts each molecule into a SMILES text string.
Read the paper | Source code on GitHub
A transformer-based toolkit that employs generative AI to auto-generate books that summarise research.
Documentation | Read the paper | Source code on GitHub
A program for the automated structural alignment of molecular conformations. This code was developed via a PhD project in our group that was sponsored by the Cambridge Crystallographic Data Centre, who adopted this program into their core product codebase.