| ESPEI for efficient thermodynamic database development, modification, and uncertainty quantification: application to Cu–Mg B Bocklund, R Otis, A Egorov, A Obaied, I Roslyakova, ZK Liu MRS Communications 9 (2), 618-627, 2019 | 76 | 2019 |
| On phase stability of Mo-Nb-Ta-W refractory high entropy alloys E Zhang, Y Tang, M Wen, A Obaied, I Roslyakova, L Zhang International Journal of Refractory Metals and Hard Materials 103, 105780, 2022 | 19 | 2022 |
| Thermodynamic re-assessment of pure chromium using modified segmented regression model A Obaied, B Bocklund, S Zomorodpoosh, L Zhang, R Otis, ZK Liu, ... Calphad 69, 101762, 2020 | 15 | 2020 |
| Statistical approach for automated weighting of datasets: Application to heat capacity data S Zomorodpoosh, B Bocklund, A Obaied, R Otis, ZK Liu, I Roslyakova Calphad 71, 101994, 2020 | 12 | 2020 |
| Automated image analysis for quantification of materials microstructure evolution M Ahmed, OM Horst, A Obaied, I Steinbach, I Roslyakova Modelling and Simulation in Materials Science and Engineering 29 (5), 055012, 2021 | 10 | 2021 |
| Microfluidic investigation of pore-size dependency of barite nucleation J Poonoosamy, A Obaied, G Deissmann, NI Prasianakis, M Kindelmann, ... Communications Chemistry 6 (1), 250, 2023 | 5 | 2023 |
| Including state-of-the-art physical understanding of thermal vacancies in Calphad models A Obaied, I Roslyakova, M To Baben Scientific Reports 12 (1), 13385, 2022 | 2 | 2022 |
| Microstructure property classification of nickel-based superalloys using deep learning U Nwachukwu, A Obaied, OM Horst, MA Ali, I Steinbach, I Roslyakova Modelling and Simulation in Materials Science and Engineering 30 (2), 025009, 2022 | 2 | 2022 |
| “2 1/2th” generation Calphad databases: Extrapolating heat capacities of elements and compounds to 0K A Obaied, F Tang, I Roslyakova, M to Baben Calphad 75, 102352, 2021 | 2 | 2021 |
| Application of Machine Learning for Thermophysical Properties of Transition Metals A Obaied Ruhr University Bochum, 2018 | 2 | 2018 |
| ESPEI for efficient thermodynamic database development, modification, and uncertainty quantification: application to Cu–Mg—CORRIGENDUM B Bocklund, R Otis, A Egorov, A Obaied, I Roslyakova, ZK Liu MRS Communications 10 (4), 702-702, 2020 | 1 | 2020 |
| Towards an AI-assisted radio-geochemical lab-on-a-chip J Poonoosamy, C Schreinemachers, A Obaied, D Bosbach 2024 Goldschmidt Conference, 2024 | | 2024 |
| Insights into the metastability of amorphous calcium carbonate (ACC): Microfluidic experiments combined with an AI-assisted toolbox for quantifying mineral transformations A Obaied, J Poonoosamy, H Peng, A Kaspor, D Bosbach, N Prasianakis, ... 2024 Goldschmidt Conference, 2024 | | 2024 |
| A radiochemical lab-on-a-chip paired with computer vision to unlock the crystallization kinetics of (Ba,Ra)SO4 J Poonoosamy, A Kaspor, C Schreinemachers, D Bosbach, O Cheong, ... Scientific Reports 14 (1), 9502, 2024 | | 2024 |
| AI assisted quantification of the metastability of ACC in the presence of metallic ions A Obaied, D Bosbach, J Poonoosamy Goldschmidt 2023 Conference, 2023 | | 2023 |
| Developing state-of-the-art materials informatics methods for Calphad modeling of multicomponent materials A Obaied | | 2023 |
| Experimental data for Microfluidic investigation of pore-size dependency of barite nucleation J Poonoosamy, NI Prasianakis, D Bosbach, B Wollenhaupt, G Deissmann, ... Nukleare Entsorgung, 2023 | | 2023 |
| Developing state-of-the-art materials informatics methods for Calphad modeling of multicomponent materials A Obaied | | 2022 |
| 393 ESPEI for Efficient Thermodynamic Database Development, Modification, and Uncertainty Quantification: Application to Cu–Mg B Bocklund, R Otis, A Egorov, A Obaied, I Roslyakova, ZK Liu Zentropy: Tools, Modelling, and Applications, 393-416, 0 | | |
