Marios Mattheakis

Affiliations: 
2014 Physics University of Crete, Giofirakia, Greece 
Area:
machine learning, neural networks, materials, photonics, plasmons, wave dynamics
Website:
https://scholar.harvard.edu/marios_matthaiakis/home
Google:
"https://scholar.google.com/citations?user=VJ4tKNgAAAAJ&hl=en"
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Cross-listing: Materials Tree

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Publications

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Neofotistos G, Angeli M, Mattheakis M, et al. (2022) Susceptibility to Resurgent COVID-19 Outbreaks Following Vaccine Rollouts: A Modeling Study. Viruses. 14
Angeli M, Neofotistos G, Mattheakis M, et al. (2021) Modeling the effect of the vaccination campaign on the Covid-19 pandemic. Chaos, Solitons, and Fractals. 111621
Luo Y, Engelke R, Mattheakis M, et al. (2020) In situ nanoscale imaging of moiré superlattices in twisted van der Waals heterostructures. Nature Communications. 11: 4209
Tritsaris GA, Xie Y, Rush A, et al. (2020) LAN: A Materials Notation for 2D Layered Assemblies. Journal of Chemical Information and Modeling
Tritsaris GA, Carr S, Zhu Z, et al. (2020) Electronic structure calculations of twisted multi-layer graphene superlattices Arxiv: Mesoscale and Nanoscale Physics. 7: 35028
Barmparis GD, Neofotistos G, Mattheakis M, et al. (2020) Robust prediction of complex spatiotemporal states through machine learning with sparse sensing Physics Letters A. 384: 126300
Maier M, Mattheakis M, Kaxiras E, et al. (2019) Homogenization of plasmonic crystals: seeking the epsilon-near-zero effect. Proceedings. Mathematical, Physical, and Engineering Sciences. 475: 20190220
Neofotistos G, Mattheakis M, Barmparis GD, et al. (2019) Machine Learning With Observers Predicts Complex Spatiotemporal Behavior Frontiers in Physics. 7: 24
Hassan N, Mattheakis M, Ding M. (2019) Sensorless Node Architecture for Events detection in Self-Powered Nanosensor Networks Nano Communication Networks. 19: 1-9
Mattheakis M, Tsironis G, Kaxiras E. (2018) Emergence and dynamical properties of stochastic branching in the electronic flows of disordered Dirac solids Epl. 122: 27003
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