| Comprehensive study of lithium adsorption and diffusion on Janus Mo/WXY (X, Y= S, Se, Te) using first-principles and machine learning approaches G Chaney, A Ibrahim, F Ersan, D Çakır, C Ataca ACS Applied Materials & Interfaces 13 (30), 36388-36406, 2021 | 57 | 2021 |
| Experimental and Theoretical Studies of the Surface Oxidation Process of Rare‐Earth Tritellurides J Kopaczek, K Yumigeta, A Ibrahim, MY Sayyad, S Sinha, R Sailus, ... Advanced Electronic Materials 9 (5), 2201129, 2023 | 4 | 2023 |
| Modeling Chemical Exfoliation of Non-van der Waals Chromium Sulfides by Machine Learning Interatomic Potentials and Monte Carlo Simulations A Ibrahim, D Wines, C Ataca The Journal of Physical Chemistry C 128 (3), 1267–1283, 2024 | 2* | 2024 |
| Prediction of Frequency-Dependent Dielectric Function for Solid Materials: A Multi-Fidelity Machine Learning Approach with Physical Insights A Ibrahim, C Ataca Bulletin of the American Physical Society, 2024 | | 2024 |
| Modeling Atomic Structure of Platinum Deposition on Graphene with Machine Learning Interatomic Potentials A Ibrahim, A Abdelaziz, M Sultana, C Ataca Bulletin of the American Physical Society, 2024 | | 2024 |
| Physically informed graph neural networks for prediction of optical properties of solid materials C Ataca, A Ibrahim Bulletin of the American Physical Society, 2023 | | 2023 |
| The effects of the surface oxidation on Rare-Earth Tritellurides: Experimental and Theoretical investigation A Ibrahim, J Kopaczek, S Tongay, C Ataca APS March Meeting Abstracts 2023, N00. 371, 2023 | | 2023 |
| Platinum-doped graphene: The next generation gas sensing C Ataca, A Ibrahim, A Bhattarai APS March Meeting Abstracts 2023, N00. 369, 2023 | | 2023 |
| Machine learning modeling of the self-assembly of one-dimensional nanostructures from two-dimensional MoS2 monolayers with defect and strain engineering A Ibrahim, C Ataca APS March Meeting Abstracts 2023, A17. 011, 2023 | | 2023 |
| Neural Network Potentials for Nonstoichiometric Materials: a case study for chromium sulfides A Ibrahim, D Wines, C Ataca Bulletin of the American Physical Society 67, 2022 | | 2022 |
| A neural network potential for high throughput screening of the energetics and thermodynamical stabilities of non-stoichiometric Chromium Sulfides A Ibrahim, D Wines, C Ataca APS March Meeting Abstracts 2022, Y32. 004, 2022 | | 2022 |
| A machine-learned molecular dynamics modeling of the spontaneous rolling-up and assembly of MoS2 monolayers designed with vacancy defects A Ibrahim, Y Kadioglu, C Ataca APS March Meeting Abstracts 2022, T00. 333, 2022 | | 2022 |
| Development of a universal machine learning descriptor from density functional theory data of ion adsorption and diffusion properties on Sulfer-functionalized MXenes for … G Chaney, A Ibrahim, D Cakir, C Ataca APS March Meeting Abstracts 2022, Q10. 004, 2022 | | 2022 |
| Predicting the atomic structure of magnetic layered materials from ab-initio materials simulations and machine learning A Ibrahim, D Wines, C Ataca APS March Meeting Abstracts 2021, H71. 229, 2021 | | 2021 |
Can ATACAAssociate ProfessorVerified email at umbc.edu
