Thermodynamically Constrained Machine-Learning Surrogates for Mapping Phase-Diagram Existence Domains in Ti–X Binary Systems

SSRN Electronic Journal 2026 Preprint Open access

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Authors: Vikas Jindal, Abhishek Kumar Thakur

DOI: 10.2139/ssrn.6137888

Cited by: 0

References: 19

Fields of Study & Subjects

Machine Learning in Materials Science Metallurgical Processes and Thermodynamics Thermodynamic and Structural Properties of Metals and Alloys

References 19