This is Sina Zadeh, a researcher passionate about studying the behavior of materials through computational methods.
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TOPICS of INTEREST
Artificial Intelligence (AI) in Science: Exploring the applications of machine learning, deep learning, and natural language processing in scientific research.
Materials Discovery: Implementing AI, optimization, CALPHAD, and atomistic simulations for the discovery of new materials.
Process–Structure–Property–Performance Relationships
CONTACT ME!
EDUCATION
Ph.D. Student in Materials Science & Engineering
M.S. in Materials Engineering
B.S. in Materials Engineering
PUBLICATIONS
S.H. Zadeh, T.D. Brown, X. Qian, I. Karaman, R. Arroyave, A composition-based predictive model for the transformation strain of NiTi shape memory alloys, Acta Mater. 289C (2025) 120861. https://doi.org/10.1016/j.actamat.2025.120861.
J. Broucek, D. Khatamsaz, C. Cakirhan, S.H. Zadeh, M. Fan, G. Vazquez, K.C. Atli, X. Qian, R. Arroyave, I. Karaman, Design of high-temperature NiTiCuHf shape memory alloys with minimum thermal hysteresis using Bayesian optimization, Acta Mater. 286 (2025) 120651. https://doi.org/10.1016/j.actamat.2024.120651.
S.H. Zadeh, C. Cakirhan, D. Khatamsaz, J. Broucek, T.D. Brown, X. Qian, I. Karaman, R. Arroyave, Data-driven study of composition-dependent phase compatibility in NiTi shape memory alloys, Mater. Des. 244 (2024) 113096. https://doi.org/10.1016/j.matdes.2024.113096.
D. Khatamsaz, R. Neuberger, A.M. Roy, S.H. Zadeh, R. Otis, R. Arróyave, A physics informed bayesian optimization approach for material design: application to NiTi shape memory alloys, Npj Comput. Mater. 9 (2023) 221. https://doi.org/10.1038/s41524-023-01173-7.
S.H. Zadeh, A. Behbahanian, J. Broucek, M. Fan, G. Vazquez, M. Noroozi, W. Trehern, X. Qian, I. Karaman, R. Arroyave, An interpretable boosting-based predictive model for transformation temperatures of shape memory alloys, Comput. Mater. Sci. 226 (2023) 112225. https://doi.org/10.1016/j.commatsci.2023.112225.
S.H. Zadeh, H.R. Jafarian, N. Park, A.R. Eivani, Regulating of tensile properties through microstructure engineering in Fe-Ni-C TRIP steel processed by different strain routes of severe deformation, J. Mater. Res. Technol. 9 (2020) 2903–2913. https://doi.org/10.1016/j.jmrt.2020.01.041.
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