fig1

Machine-learning optimization of microstructure and mechanical properties in 3D-printed W-alloyed refractory high-entropy alloys

Figure 1. Schematic of the solidification-guided ML framework for the processing selection and compositional design of AM high-strength RHEAs. ML: Machine learning; AM: additive manufacturing; RHEAs: refractory high-entropy alloys; ANN: artificial neural network; WcTRD: W-containing Ti-rich RHEAs designer; CALPHAD: ‌CALculation of PHAse diagrams; GP: gaussian process; SVM: support vector machine.

Microstructures
ISSN 2770-2995 (Online)

Portico

All published articles are preserved here permanently:

https://www.portico.org/publishers/oae/

Portico

All published articles are preserved here permanently:

https://www.portico.org/publishers/oae/