Accelerated design of architectured ceramics with tunable thermal resistance via a hybrid machine learning and finite element approach E Fatehi, HY Sarvestani, B Ashrafi, AH Akbarzadeh Materials & Design 210, 110056, 2021 | 32 | 2021 |
Machine learning-driven process of alumina ceramics laser machining R Behbahani, HY Sarvestani, E Fatehi, E Kiyani, B Ashrafi, M Karttunen, ... Physica Scripta 98 (1), 015834, 2022 | 15 | 2022 |
A Critical Evaluation of a Self-Driving Laboratory for the Optimization of Electrodeposited Earth-Abundant Mixed-Metal Oxide Catalysts for the Oxygen Evolution Reaction (OER) E Fatehi, M Thadani, G Birsan, RW Black arXiv preprint arXiv:2305.12541, 2023 | 2 | 2023 |
Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials H Yazdani Sarvestani, S Nadigotti, E Fatehi, D Aranguren van Egmond, ... Advanced Engineering Materials, 2402486, 2025 | | 2025 |
Applying Machine Learning Algorithms in the Design and Manufacturing Process of Bioinspired Architectured Materials E Fatehi McGill University (Canada), 2021 | | 2021 |
Tough bio-inspired ceramic composites for ambient and high temperature applications B Ashrafi, HY Sarvestani, M Mirkhalaf, E Fatehi, AH Akbarzadeh Proceedings of the 2019 International Conference on Composites Materials …, 2019 | | 2019 |
Application of Finite Element and Machin Learning for Improving the Thermomechanical Performance of Architectured Ceramics E Fatehi, HY Sarvestani, B Ashrafi, AH Akbarzadeh | | |