| Hamiltonian neural networks for solving equations of motion M Mattheakis, D Sondak, AS Dogra, P Protopapas Physical Review E 105, 065305, 2022 | 181 | 2022 |
| Neurodiffeq: A python package for solving differential equations with neural networks F Chen, D Sondak, P Protopapas, M Mattheakis, S Liu, D Agarwal, ... Journal of Open Source Software 5 (46), 1931, 2020 | 181 | 2020 |
| Physical symmetries embedded in neural networks M Mattheakis, P Protopapas, D Sondak, M Di Giovanni, E Kaxiras arXiv preprint arXiv:1904.08991, 2019 | 113 | 2019 |
| One-shot transfer learning of physics-informed neural networks S Desai, M Mattheakis, H Joy, P Protopapas, S Roberts arXiv preprint arXiv:2110.11286, 2021 | 104 | 2021 |
| Port-Hamiltonian neural networks for learning explicit time-dependent dynamical systems S Desai, M Mattheakis, D Sondak, P Protopapas, S Roberts https://journals.aps.org/pre/abstract/10.1103/PhysRevE.104.034312, 2021 | 91 | 2021 |
| In situ nanoscale imaging of moiré superlattices in twisted van der Waals heterostructures Y Luo, R Engelke, M Mattheakis, M Tamagnone, S Carr, K Watanabe, ... Nature Communications 11 (1), 4209, 2020 | 86 | 2020 |
| Physics-informed neural networks for quantum eigenvalue problems H Jin, M Mattheakis, P Protopapas 2022 International Joint Conference on Neural Networks (IJCNN), 1-8, 2022 | 67 | 2022 |
| Physics-informed neural networks for quantum control A Norambuena, M Mattheakis, FJ González, R Coto Physical Review Letters 132 (1), 010801, 2024 | 61 | 2024 |
| Modeling the effect of the vaccination campaign on the COVID-19 pandemic M Angeli, G Neofotistos, M Mattheakis, E Kaxiras Chaos, Solitons & Fractals 154, 111621, 2022 | 60 | 2022 |
| Epsilon-near-zero behavior from plasmonic Dirac point: Theory and realization using two-dimensional materials M Mattheakis, CA Valagiannopoulos, E Kaxiras Physical Review B 94 (20), 201404, 2016 | 53 | 2016 |
| Electronic structure calculations of twisted multi-layer graphene superlattices GA Tritsaris, S Carr, Z Zhu, Y Xie, SB Torrisi, J Tang, M Mattheakis, ... 2D Materials 7 (3), 035028, 2020 | 48 | 2020 |
| Manipulating polarized light with a planar slab of black phosphorus CA Valagiannopoulos, M Mattheakis, SN Shirodkar, E Kaxiras Journal of Physics Communications 1 (4), 045003, 2017 | 46 | 2017 |
| Unsupervised neural networks for quantum eigenvalue problems H Jin, M Mattheakis, P Protopapas arXiv preprint arXiv:2010.05075, 2020 | 35 | 2020 |
| Quantum plasmons with optical-range frequencies in doped few-layer graphene SN Shirodkar, M Mattheakis, P Cazeaux, P Narang, M Soljačić, E Kaxiras Physical Review B 97 (19), 195435, 2018 | 35* | 2018 |
| Extreme events in complex linear and nonlinear photonic media M Mattheakis, IJ Pitsios, GP Tsironis, S Tzortzakis Chaos, Solitons & Fractals 84, 73-80, 2016 | 30 | 2016 |
| Machine learning with observers predicts complex spatiotemporal behavior G Neofotistos, M Mattheakis, GD Barmparis, J Hizanidis, GP Tsironis, ... Frontiers in Physics 7, 24, 2019 | 29 | 2019 |
| Transfer learning with physics-informed neural networks for efficient simulation of branched flows R Pellegrin, B Bullwinkel, M Mattheakis, P Protopapas arXiv preprint arXiv:2211.00214, 2022 | 26 | 2022 |
| Luneburg lens waveguide networks MM Mattheakis, GP Tsironis, VI Kovanis Journal of Optics 14 (11), 114006, 2012 | 24 | 2012 |
| Variational integrator graph networks for learning energy conserving dynamical systems S Desai, M Mattheakis, S Roberts arXiv preprint arXiv:2004.13688, 2020 | 20 | 2020 |
| Artificial intelligence guided studies of van der Waals magnets TD Rhone, R Bhattarai, H Gavras, B Lusch, M Salim, M Mattheakis, ... Advanced Theory and Simulations 6 (6), 2300019, 2023 | 17 | 2023 |
Efthimios KaxirasProfessor of Physics and Applied Physics, Harvard UniversityVerified email at g.harvard.edu
