Photo of Yuval Noiman

Yuval Noiman

PhD - Primary Advisee
MS - Primary Advisee
BS - Research Experience for Undergraduates (Full-Time Paid)
Updated

October 2026

Joined

May 2026

Publications

[2]
S. Josyula et al., “Computational Discovery of Medium-Entropy {SMA}s using {CALPHAD}, Machine Learning, and Economic Analysis,” J. Phase Equilib. Diffus., May 2026, doi: 10.1007/s11669-026-01250-6.
[1]
S. Josyula, Y. Noiman, E. J. Payton, and T. Giovannelli, “Comparison of derivative-free and gradient-based minimization for multi-objective compositional design of shape memory alloys,” Comp. Mater. Sci., vol. 261, p. 114297, Jan. 2026, doi: 10.1016/j.commatsci.2025.114297.

Presentations

[3]
Y. Noiman (presenter), S. Josyula, E. J. Payton. (2026-10-06). Supply risk and cost-aware multi-objective materials discovery. MS&T26: Materials Science & Technology. https://www.matscitech.org/MST26.
[2]
Y. Noiman (presenter), S. Josyula, E. J. Payton. (2026-03-16). SPG-35: Computational Discovery of Medium-Entropy SMAs Using CALPHAD, Machine Learning, and Economic Analysis. 2026 TMS Annual Meeting & Exhibition. https://www.tms.org/TMS2026/.
[1]
S. Josyula, Y. Noiman (presenter), E. J. Payton, T. Giovannelli. (2025-09-30). Comparison of derivative-free and gradient-based minimization for multi-objective compositional design of shape memory alloys. MS&T25: Materials Science & Technology. https://www.matscitech.org/mst25.

Contributions

[2]
N. Jackson (presenter), Y. Noiman, W. Li, N. Simpson, E. J. Payton. (2026-10-06). Characterization of forged axe microstructure. MS&T26: Materials Science & Technology. https://www.matscitech.org/MST26.
[1]
I. P. Giblin (presenter), J. D. Maile, Y. Noiman, E. J. Payton. (2024-10-08). SPU-37: The Design of Alloys for the Circular Economy. MS&T24: Materials Science & Technology. https://www.matscitech.org/MST24.