This is Sina Hossein Zadeh, a researcher passionate to study the behavior of materials through computational methods.
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. Hossein 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. Hossein 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. Hossein 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. Hossein 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.
