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.
https://t.co/VDwxpR3JsR
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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
https://t.co/qEaW5aLtmP
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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.
https://t.co/AnFXBqovCX
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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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https://t.co/Ku7hybGbHp
The FORGE project aims to develop Explainable AI (XAI) guided design and exploration system for Compositionally Complex Alloys (CCAs) and Ceramics (CCCs).
https://t.co/MCY69grz7r
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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.
https://t.co/yW9jESda65
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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
https://t.co/72tc76ZJ5f
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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!
https://t.co/0e9Q8Zm4vE
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