Materials Science and Engineering: Accelerating Sustainable Alloy Development using Machine Learning

Ente: Swansea University

Scadenza: 2026-05-25

Paese: GB

Descrizione

This project focuses on developing a novel, hybrid Integrated Computational Materials Engineering (ICME) framework to accelerate the discovery of advanced steel powders. By integrating Machine Learning (ML) with physics-based modelling (CALPHAD) and Rapid Alloy Prototyping, the successful candidate...

Settori: Engineering»Materials engineeringPhysics»OtherChemistry

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