This project has received funding from the European Union's Horizon 2020 research and innovation programme. Grant agreement 958457.
Joined January 2021
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The FORGE knowledge-based AI platform brings ML together with the codified knowledge of human experts to solve the complex and time-consuming problem of developing composite materials meeting specific performance criteria.
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Find out more about our Smart Coatings in our April Blog!
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Find out more about carbon capture, utilisation and storage in our latest blog!
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FORGE explores the world of Compositionally Complex Alloys deploying diverse theoretical, computational and experimental techniques! Register for our free webinar to find out more
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Download our second issue of FORGE newsletter for latest updates!!
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Join us for our webinar on 'How to FORGE a new class of coatings' on 14th October at 13:00 BST.
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FORGE project will train a machine learning (ML) model with the ultimate goal to develop a machine learning based decision support system to help material scientists and engineers discover novel CCAs.
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Check out our latest post about CALPAHD for materials design!
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Find us at the Energy Materials for Innovation (EM4I) Workshop series - Materials Discovery and Development on 1st July.
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The FORGE project aims to develop Explainable AI (XAI) guided design and exploration system for Compositionally Complex Alloys (CCAs) and Ceramics (CCCs).
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The FORGE project’s overarching concept is to provide a new knowledge-based framework to design tailored Compositionally Complex Materials (CCMs) to meet the specific future and current needs in individual energy intensive processing environments.
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Check out the first issue of the FORGE newsletter!!
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Check out our latest blog on Compositionally Complex Materials!
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The FORGE project has been designed to protect the critical components, mainly from corrosion, erosion, hydrogen embrittlement and thermal breakdown damages, through developing coating materials and materials technologies
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We are pleased to announce the launch of our website!!
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The development of Compositionally Complex Materials requires Complex workflows, as the one that Energy Intensive Industries adopts to maximise their efficiency!
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