Disclaimer: The results from this tool are estimates based on data consisting of a set of experimental measurements. All results are provided for informational purposes only, in furtherance of the developers' educational mission, to complement the knowledge of materials scientists and engineers, and assist them in their search for new materials with desired properties. The developers may not be held responsible for any decisions based on this tool.
Welcome to the Martensite Start Temperature (MsT) Predictor. This tool is built using data from more than 800 steel alloys. This database consists of composition information of the alloys, along with their martensite start temperature. Various data analytics and regression modeling techniques were used to obtain highly accurate MsT prediction models.
The tool estimates the martensite start temperature of a given steel alloy specified by its composition as entered by the user. To obtain the MsT prediction, please enter the attribute values below, and click the submit button.
Developer team: Ankit Agrawal, Alok Choudhary
Collaborators: Abhinav Saboo, Wei Xiong, Greg Olson
This work was performed under the following financial assistance award 70NANB19H005 from U.S. Department of Commerce, National Institute of Standards and Technology as part of the Center for Hierarchical Materials Design (CHiMaD).
[1] A. Agrawal, A. Saboo, W. Xiong, G. Olson and A. Choudhary, "Martensite Start Temperature Predictor for Steels Using Ensemble Data Mining," in Proceedings of 6th IEEE International Conference on Data Science and Advanced Analytics (DSAA), 2019.
[2] Original data source: T. Sourmail, Predicting the martensite start temperature of steels, [link]
[3] De-duplicated data along with train and test splits used in [1]: [excel]
Center for Ultra-scale Computing and Information Security (CUCIS), EECS Department, Northwestern University, Evanston, IL 60208, USA