Unsupervised machine learning discovers classes in aluminium alloys

Aluminium (Al) alloys are critical to many applications. Although Al alloys have been commercially widespread for over a century, their development has predominantly taken a trial-and-error approach. Furthermore, many discrete studies regarding Al alloys, often application specific, have precluded a...

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Autors principals:	Ninad Bhat, Amanda S. Barnard, Nick Birbilis
Format:	Artigo
Idioma:	Inglês
Publicat:	The Royal Society 2023-02-01
Col·lecció:	Royal Society Open Science
Matèries:	alloy design unsupervised learning machine learning aluminium aluminium alloys mechanical properties
Accés en línia:	https://royalsocietypublishing.org/doi/10.1098/rsos.220360
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