| A machine learning approach for accelerated design of magnesium alloys. Part A: Alloy data and property space M Ghorbani, M Boley, PNH Nakashima, N Birbilis Journal of Magnesium and Alloys 11 (10), 3620-3633, 2023 | 10 | 2023 |
| A machine learning approach for accelerated design of magnesium alloys. Part B: Regression and property prediction M Ghorbani, M Boley, PNH Nakashima, N Birbilis Journal of Magnesium and Alloys 11 (11), 4197-4205, 2023 | 8 | 2023 |
| Revolutionising inverse design of magnesium alloys through generative adversarial networks M Ghorbani, Z Li, N Birbilis arXiv preprint arXiv:2310.07836v3, 2023 | 2 | 2023 |
| Current Progress in Aqueous Corrosion of Multi-Principal Element Alloys MLTNB M. Ghorbani, Z. Li, Y. Qiu, P. Marcus, J. R. Scully, O. Gharbi, H. Luo ... Metallurgical and Materials Transactions A, 2024 | | 2024 |
| Current progress in corrosion of multi principal element alloys M Ghorbani, Z Li, Y Qiu, P Marcus, JR Scully, O Gharbi, H Luo, RK Gupta, ... arXiv preprint arXiv:2405.05623, 2024 | | 2024 |
| An active machine learning approach for optimal design of magnesium alloys using Bayesian optimisation M Ghorbani, M Boley, P Nakashima, N Birbilis Scientific reports 14, 8299, 2024 | | 2024 |
| Accelerated computational discovery and design of novel magnesium alloys by machine learning M GHORBANI Monash University, 0 | | |
Nick BirbilisDeakin University. Executive Dean, Faculty of Science, Engineering & Built Environment在 deakin.edu.au 的电子邮件经过验证
