| Finite-bias visibility dependence in an electronic Mach-Zehnder interferometer E Bieri, M Weiss, O Göktas, M Hauser, C Schönenberger, S Oberholzer Physical Review B—Condensed Matter and Materials Physics 79 (24), 245324, 2009 | 123 | 2009 |
| Alloyed ohmic contacts to two-dimensional electron system in AlGaAs/GaAs heterostructures down to submicron length scale O Göktaş, J Weber, J Weis, K von Klitzing Physica E: Low-dimensional Systems and Nanostructures 40 (5), 1579-1581, 2008 | 53 | 2008 |
| Electronic transport properties of microcrystalline silicon thin films prepared by VHF-PECVD S Okur, M Güneş, O Göktaş, F Finger, R Carius Journal of Materials Science: Materials in Electronics 15, 187-191, 2004 | 21 | 2004 |
| Quantum amplitude estimation in the presence of noise EG Brown, O Goktas, WK Tham arXiv preprint arXiv:2006.14145, 2020 | 19 | 2020 |
| Screening model of metallic nonideal contacts in the integer quantized Hall regime D Eksi, O Kilicoglu, O Goektas, A Siddiki Physical Review B—Condensed Matter and Materials Physics 82 (16), 165308, 2010 | 17 | 2010 |
| Small alloyed ohmic contacts to 2DES and submicron scale corbino devices in strong magnetic fields: observation of a zero bias anomaly and single electron charging O Göktas | 13 | 2009 |
| Photoconductivity spectroscopy in hydrogenated microcrystalline silicon thin films M Güneş, D Akdaş, O Göktaş, R Carius, J Klomfaß, F Finger Journal of Materials Science: Materials in Electronics 14, 729-730, 2003 | 7 | 2003 |
| Quantum-classical multiple kernel learning A Ghukasyan, JS Baker, O Goktas, J Carrasquilla, SK Radha arXiv preprint arXiv:2305.17707, 2023 | 5 | 2023 |
| Benchmarking quantum processors with a single qubit O Göktaş, WT Tham, K Bonsma-Fisher, A Brodutch arXiv:1905.05775, 2019 | 5 | 2019 |
| Massively parallel hybrid quantum-classical machine learning for kernelized time-series classification JS Baker, G Park, K Yu, A Ghukasyan, O Goktas, SK Radha | 4 | 2023 |
| Minority carrier properties of microcrystalline silicon thin films grown by HW-CVD and VHF-PECVD techniques S Okur, O Göktaş, M Güneş, F Fingera, R Cariusa Journal of optoelectronics and advanced materials 7 (1), 491-494, 2005 | 3 | 2005 |
| Sub-bandgap absorption spectroscopy and minority carrier transport properties of hydrogenated microcrystalline silicon thin films M Güneş, O Göktaş, S Okur, N Işık, R Cariusa, J Klomfassa, F Fingera Journal of Optoelectronics and Advanced Materials 7 (1), 161-168, 2005 | 3 | 2005 |
| Iteration of thought: Leveraging inner dialogue for autonomous large language model reasoning SK Radha, YN Jelyani, A Ghukasyan, O Goktas arXiv preprint arXiv:2409.12618, 2024 | 2 | 2024 |
| Hough Transform as a quality test tool for electron beam lithography O Göktaş, NI Göktaş Microelectronic Engineering 177, 6-8, 2017 | 2 | 2017 |
| Parallel hybrid quantum-classical machine learning for kernelized time-series classification JS Baker, G Park, K Yu, A Ghukasyan, O Goktas, SK Radha Quantum Machine Intelligence 6 (1), 18, 2024 | 1 | 2024 |
| Shadow modulated two-dimensional heterostructures using vertical pillars N Işık, M Bichler, SF Roth, A Fontcuberta i Morral, O Göktaş, M Grayson Applied Physics Letters 92 (17), 2008 | 1 | 2008 |
| Subgap absorption spectroscopy in microcrystalline silicon thin films O Göktaş PQDT-Global, 2004 | 1 | 2004 |
| HYBRID SYSTEMS AND METHODS FOR SECURE EXECUTION OF QUANTUM AND CLASSICAL WORKFLOWS ON ADVANCED COMPUTING DEVICES SK Radha, WJ Cunningham, NA Shah, O Goktas US Patent App. 18/694,405, 2024 | | 2024 |
| Composite Learning Units: Generalized Learning Beyond Parameter Updates to Transform LLMs into Adaptive Reasoners SK Radha, O Goktas arXiv preprint arXiv:2410.08037, 2024 | | 2024 |
| Investigation of dose and development time for thin e-beam resist poly (methyl methacrylate) for large area dense nanopattern applications O Göktaş, D Çakıroğlu, Ö Yıldırım, NI Göktaş International Journal of Nanotechnology 15 (8-10), 663-668, 2018 | | 2018 |
