Unlocking the composition-property landscape of nickel-based superalloys: A machine learning framework integrating gradient experiments and thermodynamic calculations
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OpenAlex topics: Machine Learning in Materials Science · High Temperature Alloys and Creep · Additive Manufacturing Materials and Processes
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References (7)
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1. Temperature/stress dependence of stress rupture behavior and deformation microstructure of an advanced superalloy for additive manufacturing10.1016/j.jmst.2024.03.072 ↗
2. Unveiling the Re effect in Ni-based single crystal superalloys10.1038/s41467-019-14062-9 ↗
3. Alloy design for laser powder bed fusion additive manufacturing: a critical review
4. Machine learning assisted microstructure optimization and tensile properties improvement of Al-Si-Mg alloy10.1016/j.matdes.2025.115419 ↗
5. Data-driven multi-process modeling and integrated design strategy for complex high-performance alloys10.1016/j.actamat.2025.121648 ↗
6. Compositional gradient-driven design of additively manufactured nickel-based superalloys for enhanced 900 °C strength-ductility synergy via Ti/Al optimization10.1016/j.mtcomm.2025.113751 ↗
7. Controllable period of crystallographic lamellar microstructure in ZGH451 superalloy prepared by laser powder bed fusion