| An optimized interatomic potential for Cu–Ni alloys with the embedded-atom method B Onat, S Durukanoğlu Journal of Physics: Condensed Matter 26 (3), 035404, 2013 | 121 | 2013 |
| Implanted neural network potentials: Application to Li-Si alloys B Onat, ED Cubuk, BD Malone, E Kaxiras Physical Review B 97 (9), 094106, 2018 | 77 | 2018 |
| Representations in neural network based empirical potentials ED Cubuk, BD Malone, B Onat, A Waterland, E Kaxiras The Journal of chemical physics 147 (2), 2017 | 51 | 2017 |
| Tuning electronic properties of monolayer hexagonal boron phosphide with group III–IV–V dopants B Onat, L Hallioglu, S İpek, E Durgun The Journal of Physical Chemistry C 121 (8), 4583-4592, 2017 | 51 | 2017 |
| Sensitivity and dimensionality of atomic environment representations used for machine learning interatomic potentials B Onat, C Ortner, JR Kermode The Journal of Chemical Physics 153 (14), 2020 | 35 | 2020 |
| Equivariant analytical mapping of first principles Hamiltonians to accurate and transferable materials models L Zhang, B Onat, G Dusson, A McSloy, G Anand, RJ Maurer, C Ortner, ... Npj Computational Materials 8 (1), 158, 2022 | 30 | 2022 |
| Insights into the emerging networks of voids in simulated supercooled water N Ansari, B Onat, GC Sosso, A Hassanali The Journal of Physical Chemistry B 124 (11), 2180-2190, 2020 | 22 | 2020 |
| Shared metadata for data-centric materials science LM Ghiringhelli, C Baldauf, T Bereau, S Brockhauser, C Carbogno, ... Scientific Data 10 (1), 626, 2023 | 12 | 2023 |
| The role of vibrations in thermodynamic properties of Cu-Ni alloys B Onat, S Durukanoğlu The European Physical Journal B 87, 1-8, 2014 | 8 | 2014 |
| Energetics and atomic relaxations of Cu nanowires: the effect of local strain and cross-sectional area B Onat, M Konuk, S Durukanoğlu, G Dereli Nanotechnology 20 (7), 075707, 2009 | 8 | 2009 |
| Integrated workflows and interfaces for data-driven semi-empirical electronic structure calculations P Stishenko, A McSloy, B Onat, B Hourahine, RJ Maurer, JR Kermode, ... arXiv preprint arXiv:2403.15625, 2024 | | 2024 |
| Developing Accurate and Transferable Artificial Neural Network Potentials for Li-Si Alloys B Onat, ED Cubuk, B Malone, E Kaxiras Bulletin of the American Physical Society 60, 2015 | | 2015 |
| The Role of Lattice Dynamics on The Thermal Properties of Cu-Ni Alloys B Onat, S Durukanoglu APS March Meeting Abstracts 2014, L43. 011, 2014 | | 2014 |
| Growth of Cu-Ni Nanostructures on Cu (111): A Molecular Dynamic Study B Onat, S Durukanoglu APS March Meeting Abstracts 2014, H1. 199, 2014 | | 2014 |
| The properties of nanostructured binary metal alloys B Onat Bilişim Enstitüsü, 2013 | | 2013 |
| Embedded Atom Method Potential for Ni-Cu Alloys and Its Applications for Ni, Cu growth on Cu (111) B Onat, S Durukanoglu APS March Meeting Abstracts 2012, A5. 002, 2012 | | 2012 |
| Energetics of Cu Nanowires M Konuk, B Onat, S Durukanoglu APS March Meeting Abstracts, W30. 014, 2008 | | 2008 |
| Double-layer island decay on Ag (111): A molecular dynamic simulation B Onat, S Durukanoglu APS March Meeting Abstracts, B20. 005, 2008 | | 2008 |
| A Parallel Implementation: Real Space Green’s Function Technique B Onat, S Durukanoğlu, H Dağ The International Journal of High Performance Computing Applications 21 (1 …, 2007 | | 2007 |
| A parallel implementation of real-space green's function method for calculation of vibrational density of states B Onat Bilişim Enstitüsü, 2006 | | 2006 |
Sondan DurukanogluKadir Has UniversityПодтвержден адрес электронной почты в домене khas.edu.tr
