fig10

Smart design tungsten-weighted refractory high entropy alloys (WW-RHEAs) under dynamic loading

Figure 10. Comparison of experimental values and ML-predicted values for the five synthesized candidate alloys derived from selected second-iteration Pareto targets across the SHPB test matrix: (A) yield strength; (B) strain. Experimental data (Exp) are reported as the maximum compressive strain attained before unloading (εmax; right-censored lower bounds); systematic fracture confirmation was unavailable, and strains are therefore conservatively treated as lower-bound observations. ML predictions (ML) are the model-predicted fracture strains (εf). Because the experimental strain values are censored, a conservative consistency check (εf ≥ εmax) rather than conventional relative errors is applied. ML: Machine learning; SHPB: split Hopkinson pressure bar.

Journal of Materials Informatics
ISSN 2770-372X (Online)
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