| Nanowires for energy: A review NI Goktas, P Wilson, A Ghukasyan, D Wagner, S McNamee, RR LaPierre Applied Physics Reviews 5 (4), 2018 | 140 | 2018 |
| Thermal conductivity of GaAs nanowire arrays measured by the 3ω method A Ghukasyan, P Oliveira, NI Goktas, R LaPierre Nanomaterials 12 (8), 1288, 2022 | 9 | 2022 |
| Thermal transport in twinning superlattice and mixed-phase GaAs nanowires A Ghukasyan, R LaPierre Nanoscale 14 (17), 6480-6487, 2022 | 9 | 2022 |
| Modelling thermoelectric transport in III–V nanowires using a Boltzmann transport approach: a review A Ghukasyan, RR LaPierre Nanotechnology 32 (4), 042001, 2020 | 8 | 2020 |
| Quantum-classical multiple kernel learning A Ghukasyan, JS Baker, O Goktas, J Carrasquilla, SK Radha arXiv preprint arXiv:2305.17707, 2023 | 5 | 2023 |
| Phase diagram for twinning superlattice Te-doped GaAs nanowires A Ghukasyan, NI Goktas, VG Dubrovskii, RR LaPierre Nano Letters 22 (3), 1345-1349, 2022 | 5 | 2022 |
| 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 | 4 | 2024 |
| 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 |
| 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 | 2 | 2024 |
| Quantum Kernel Methods for Supervised Machine Learning A Ghukasyan, AI Team APS March Meeting Abstracts 2023, Z73. 015, 2023 | | 2023 |
| Droplet contact angle controlling the morphology and crystal phase of GaAs and GaP nanowires VG Dubrovskii, NV Sibirev, VV Fedorov, LN Dvoretckaia, DA Kirilenko, ... 2022 International Conference Laser Optics (ICLO), 1-1, 2022 | | 2022 |
| THERMOELECTRICITY AND HEAT CONDUCTION IN III-V NANOWIRES AA Ghukasyan | | 2022 |