A physics informed bayesian optimization approach for material design: application to NiTi shape memory alloys D Khatamsaz, R Neuberger, AM Roy, SH Zadeh, R Otis, R Arróyave npj Computational Materials 9 (1), 221, 2023 | 19 | 2023 |
An interpretable boosting-based predictive model for transformation temperatures of shape memory alloys SH Zadeh, A Behbahanian, J Broucek, M Fan, G Vazquez, M Noroozi, ... Computational Materials Science 226, 112225, 2023 | 19 | 2023 |
Regulating of tensile properties through microstructure engineering in Fe-Ni-C TRIP steel processed by different strain routes of severe deformation SH Zadeh, HR Jafarian, N Park, AR Eivani Journal of Materials Research and Technology 9 (3), 2903-2913, 2020 | 16 | 2020 |
Data-driven study of composition-dependent phase compatibility in NiTi shape memory alloys SH Zadeh, C Cakirhan, D Khatamsaz, J Broucek, TD Brown, X Qian, ... Materials & Design, 113096, 2024 | 2 | 2024 |
Design of high-temperature NiTiCuHf shape memory alloys with minimum thermal hysteresis using Bayesian optimization J Broucek, D Khatamsaz, C Cakirhan, SH Zadeh, M Fan, G Vazquez, ... Acta Materialia 286, 120651, 2025 | | 2025 |
An Insight Into Predictive Modelling of NiTi Shape Memory Alloys SH Zadeh, X Qian, I Karaman, R Arróyave TMS Specialty Congress 2024, 2024 | | 2024 |
DFT study of the NiTi-X systems for Shape Memory Alloys (SMAs) design RA Guillermo Vazquez Tovar, Sina Hossein Zadeh, Sayan Samanta, Axel Van de Walle TMS 2023 Annual Meeting & Exhibition, 2023 | | 2023 |
Investigating the microstructural characterization and mechanical properties of Fe-24Ni-0.2C TRIP-assisted steel during Repetitive Corrugation and Straightening by Rolling … SH Zadeh | | 2018 |
A composition-based predictive model for the transformation strain of NiTi shape memory alloys S Zadeh, T Brown, X Qian, I Karaman, R Arroyave Timothy and Qian, Xiaoning and Karaman, Ibrahim and Arroyave, Raymundo, A …, 0 | | |