Marios Mattheakis (Matthaiakis) is Research Associate in the Institute for Applied Computational Science (IACS) at Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS). He received his Ph.D. in physics in 2014 from the University of Crete, and obtained his B.Sc and M.Sc from the same institute in 2010 and 2012.
Marios is interested in Applied Computational Science focusing on the intersection of Machine Learning and Physics. He designs physics-informed neural networks providing data-efficient learning, high predictive accuracy, and new methods for solving differential equations. These deep learning approaches are implemented in a wide range of applications from quantum physics and material engineering to electromagnetics and classical mechanics.
- Physics-informed neural networks
- Van der Waals heterostructures and two-dimensional materials
- Extreme and rare events in disordered systems and random environments
- Photonics, plasmonics, quantum metamaterials
- Neuromorphic computing
|2015 - 2018||Postdoctoral Research Associate, Harvard John A. Paulson School Of Engineering and Applied Sciences; Advisor: Prof. Efthimios Kaxiras|
|2018 - present||
Research Associate, Institute for Applied Computational Science at Harvard John A. Paulson School Of Engineering and Applied Sciences;
Advisors: Dr. Pavlos Protopapas and Prof. Efthimios Kaxiras