Integrating Machine Learning and Thermodynamic Modeling for Computational Design and Optimization of Nickel-Free High-Nitrogen Stainless Steels
Published: 6 April 2026| Version 1 | DOI: 10.17632/j9zz6rt99f.1
Contributor:
Dhanasekar RDescription
This dataset contains thermodynamic input parameters generated using Thermo-Calc within the CALPHAD framework for 1,152 nickel-free high-nitrogen stainless steel alloy compositions. The compositions were systematically analyzed over a temperature range of 300–1100 °C to evaluate phase stability and precipitation behavior.
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Institutions
- PSG College of TechnologyTamil Nadu, Coimbatore
Categories
Alloy Steel, Materials Design