**5. Conclusions**

In this work, we proposed a novel, computationally efficient approach for accelerating the discovery of new compositions and process parameters for Ti-based biomaterials that will help in achieving fully stabilized β-phase, which is required for improving multiple desired properties of existing biomaterials. This work utilizes the information reported in literature to generate data for various stable and metastable phases under the framework of the CALPHAD approach. AI algorithms were used to accelerate the discovery of new compositions and temperatures.

This work can be summarized as follows:


**Author Contributions:** Conceptualization, R.J. and G.S.D.; methodology, R.J.; software, R.J.; validation, R.J.; formal analysis, R.J.; investigation, R.J.; resources, R.J. and G.S.D.; data curation, R.J.; writing—original draft preparation, R.J.; writing—review and editing, R.J. and G.S.D.; visualization, R.J.; supervision, G.S.D.; project administration, G.S.D.; funding acquisition, G.S.D. All authors have read and agreed to the published version of the manuscript.

**Funding:** This work was supported by the College of Engineering and Computing at Florida International University and by NASA HQ University Leadership Initiative (ULI) program under federal award number NNX17AJ96A titled "Adaptive Aerostructures for Revolutionary Supersonic Transportation" managed by Texas A&M University.

**Acknowledgments:** Authors would like to express their sincere gratitude to Professor Cristian V. Ciobanu from Colorado School of Mines, Golden, Colorado, USA, and Professor Carlo Poloni from ESTECO Co., Trieste, Italy for providing access to some of the commercial software used in this paper. Reviewers' comments and suggestions helped the readability of this paper and are highly appreciated.

**Conflicts of Interest:** The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.
