| Quantum computation with programmable connections between gates T Colnaghi, GM DʼAriano, S Facchini, P Perinotti Physics Letters A 376 (45), 2940-2943, 2012 | 121 | 2012 |
| Quantum computation with programmable connections between gates T Colnaghi, GM D'Ariano, P Perinotti, S Facchini Arxiv preprint arXiv:1109.5987, 2011 | 121 | 2011 |
| Convolutional neural network-assisted recognition of nanoscale L1 2 ordered structures in face-centred cubic alloys Y Li, X Zhou, T Colnaghi, Y Wei, A Marek, H Li, S Bauer, M Rampp, ... npj Computational Materials 7 (1), 1-9, 2021 | 22 | 2021 |
| Quantitative three-dimensional imaging of chemical short-range order via machine learning enhanced atom probe tomography Y Li, Y Wei, Z Wang, X Liu, T Colnaghi, L Han, Z Rao, X Zhou, L Huber, ... Nature Communications 14 (1), 7410, 2023 | 15 | 2023 |
| The three-dimensional structure of galactic molecular cloud complexes out to 2.5 kpc TE Dharmawardena, CAL Bailer-Jones, M Fouesneau, ... Monthly Notices of the Royal Astronomical Society 519 (1), 228-247, 2023 | 14 | 2023 |
| Direct recognition of crystal structures via three-dimensional convolutional neural networks with high accuracy and tolerance to random displacements and missing atoms Z Rao, Y Li, H Zhang, T Colnaghi, A Marek, M Rampp, B Gault Scripta Materialia 234, 115542, 2023 | 5 | 2023 |
| Machine Learning‐Enabled Tomographic Imaging of Chemical Short‐Range Atomic Ordering Y Li, T Colnaghi, Y Gong, H Zhang, Y Yu, Y Wei, B Gan, M Song, A Marek, ... Advanced Materials, 2407564, 2023 | 3 | 2023 |
| Ensemble neuronal responses in a large-scale realistic model of the cerebellar cortex S Solinas, T Colnaghi, E D'Angelo BMC Neuroscience 14 (Suppl 1), P82, 2013 | 3 | 2013 |
| All-sky three-dimensional dust density and extinction Maps of the Milky Way out to 2.8 kpc TE Dharmawardena, CAL Bailer-Jones, M Fouesneau, ... Monthly Notices of the Royal Astronomical Society, stae1474, 2024 | | 2024 |
| 3D deep learning for enhanced atom probe tomography analysis of nanoscale microstructures J Yu, Z Wang, A Saksena, S Wei, Y Wei, T Colnaghi, A Marek, M Rampp, ... arXiv preprint arXiv:2404.16524, 2024 | | 2024 |
| Machine-learning-assisted revealing L12 ordered structures in FCC-based alloys Y Li, L Stephenson, X Zhou, T Colnaghi, A Marek, S Bauer, M Rampp, ... BIGmax workshop 2020, online, 2020 | | 2020 |
| A parallel clustering algorithm for image segmentation T Colnaghi SISSA, 2018 | | 2018 |
| Evaluating different k-space undersampling schemes with iterative and deep learning image reconstruction for fast multi-parameter mapping K Podranski, KJ Pine, T Colnaghi, A Marek, P Scheibe, N Scherf, ... | | |
| The role of AI and ML in the development of a multiscale modeling suite for sustainable magnetic materials T Colnaghi | | |
Andreas MarekHead of AI & HPDA, MPCDF在 mpcdf.mpg.de 的电子邮件经过验证
