| De-noising drift chambers in CLAS12 using convolutional auto encoders P Thomadakis, A Angelopoulos, G Gavalian, N Chrisochoides Computer Physics Communications 271, 108201, 2022 | 13 | 2022 |
| Parallel software framework for large-scale parallel mesh generation and adaptation for cfd solvers P Thomadakis, C Tsolakis, K Vogiatzis, A Kot, NN Chrisochoides 2018 Aviation Technology, Integration, and Operations Conference, 2888, 2018 | 12 | 2018 |
| Multithreaded runtime framework for parallel and adaptive applications P Thomadakis, C Tsolakis, N Chrisochoides Engineering with Computers 38 (5), 4675-4695, 2022 | 8 | 2022 |
| Using machine learning for particle track identification in the CLAS12 detector P Thomadakis, A Angelopoulos, G Gavalian, N Chrisochoides Computer Physics Communications 276, 2022 | 6 | 2022 |
| Tasking framework for adaptive speculative parallel mesh generation C Tsolakis, P Thomadakis, N Chrisochoides The Journal of Supercomputing 78 (5), 1-32, 2022 | 6 | 2022 |
| On the end-user productivity of a pseudo-constrained parallel data refinement method for the advancing front local reconnection mesh generation software KM Garner, P Thomadakis, T Kennedy, C Tsolakis, NN Chrisochoides AIAA Aviation 2019 Forum, 2844, 2019 | 6 | 2019 |
| Toward runtime support for unstructured and dynamic exascale-era applications P Thomadakis, N Chrisochoides The Journal of Supercomputing 79 (8), 9245-9272, 2023 | 5 | 2023 |
| Using Artificial Intelligence for Particle Track Identification in CLAS12 Detector G Gavalian, P Thomadakis, A Angelopoulos, V Ziegler, N Chrisochoides arXiv e-prints, arXiv: 2008.12860, 2020 | 5 | 2020 |
| Charged particle reconstruction in CLAS12 using Machine Learning P Thomadakis, K Garner, G Gavalian, N Chrisochoides Computer Physics Communications 287, 108694, 2023 | 3 | 2023 |
| CLAS12 track reconstruction with artificial intelligence G Gavalian, P Thomadakis, A Angelopoulos, N Chrisochoides, R De Vita, ... arXiv preprint arXiv:2202.06869, 2022 | 3 | 2022 |
| Particle trajectory classification and prediction using machine learning A Angelopoulos, P Thomadakis, G Gavalian, N Chrisochoides February, 2020 | 2 | 2020 |
| Experience with Distributed Memory Delaunay-based Image-to-Mesh Conversion Implementation P Thomadakis, N Chrisochoides arXiv preprint arXiv:2308.12525, 2023 | 1 | 2023 |
| Towards performance portable programming for distributed heterogeneous systems P Thomadakis, N Chrisochoides arXiv preprint arXiv:2210.01238, 2022 | 1 | 2022 |
| Convolutional auto-encoders for drift chamber data de-noising for CLAS12 G Gavalian, P Thomadakis, A Angelopoulos, N Chrisochoides arXiv preprint arXiv:2205.02616, 2022 | 1 | 2022 |
| Reed-Solomon and concatenated codes with applications in space communication P Thomadakis, A Argyriou arXiv preprint arXiv:1608.03961, 2016 | 1 | 2016 |
| Towards Distributed Semi-speculative Adaptive Anisotropic Parallel Mesh Generation K Garner, C Tsolakis, P Thomadakis, N Chrisochoides arXiv preprint arXiv:2312.13433, 2023 | | 2023 |
| Runtime Support for Performance Portability on Heterogeneous Distributed Platforms P Thomadakis, N Chrisochoides arXiv preprint arXiv:2303.02543, 2023 | | 2023 |
| Charged Track Reconstruction with Artificial Intelligence for CLAS12 G Gavalian, P Thomadakis, A Angelopoulos, N Chrisochoides | | 2023 |
| Towards Intelligent Runtime Framework for Distributed Heterogeneous Systems P Thomadakis Old Dominion University, 2023 | | 2023 |
| Evaluation of Scalable Quantum and Classical Machine Learning for Particle Tracking Classification in Nuclear Physics P Thomadakis, E Billias, N Chrisochoides | | 2023 |
