Digital Materials Foundry

About the Digital Materials Foundry

The Digital Materials Foundry is a new initiative established by Royce to support the digital transformation of materials innovation.

The Foundry is leveraging open-access experimental materials data, machine learning for property prediction models, language models for the materials domain and associated code to accelerate translation.

The programme of work delivered through the foundry will address challenges highlighted through the National Materials Innovation Strategy  around digital adoption by leveraging AI and Data to advance Materials 4.0 across the community.

The Foundry is now aggregating a range of tools and resources for research and innovation including libraries of experimental materials data and machine learning for property prediction models and code. These resources will ultimately improve the availability of materials data and help to remove boundaries in collaboration to advance collective solutions in materials innovation.

Digital Materials Resources

Experimental Materials Data Repositories Library

Explore a range of experimental materials data repositories which have been sourced from academic literature.

Language Models for Materials

Explore a repository of language models for materials.

Machine Learning for Property Prediction

Explore machine-learning models and source code for predicting properties from chemical compositions of materials.

Links to Large Computational Materials Databases

Explore a series of links to Large Computational Materials Databases.

Engage with the Digital Materials Foundry

The Digital Materials Foundry is a new programme within the Henry Royce Institute designed to address challenges around AI in Materials Discovery, Characterisation and Application. If you would like to submit work to its libraries of Experimental Materials Data Repositories or Machine Learning for Property Prediction or Language Models for materials, please get in touch using the link below.

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