Predicting the Ti-Al Binary Phase Diagram with an Artificial Neural Network Potential

The microstructure of the Ti-Al binary system is an area of great interest, as it affects material properties and plasticity. Phase transformations induce microstructural changes; therefore, accurately modeling the phase transformations of the Ti-Al system is necessary to describe plasticity. Intera...

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Hlavní autoři:	Micah Nichols, Mashroor S. Nitol, Saryu J. Fensin, Christopher D. Barrett, Doyl E. Dickel
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2026-01-01
Edice:	Metals
Témata:	titanium aluminum phase transition molecular dynamics machine learning intermetallics
On-line přístup:	https://www.mdpi.com/2075-4701/16/2/140
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