Physics-Informed Hamiltonian Neural Networks,
at
Workshop on Machine Learning in astronomy: From classical to physics-informed,
Thursday, July 29, 2021:
Presentations
Artificial Neural Networks for solving Differentials Equations,
at
Florida State University,
Friday, March 5, 2021:
Two-dimensional materials, Metamaterials & Machine Learning,
at
Rensselaer Polytechnic Institute,
Wednesday, November 6, 2019:
Electronic Branched Flow in Graphene: Theory and Machine Learning Prediction,
at
Los Angeles, California,
Tuesday, March 6, 2018:
Epsilon-Near-Zero behavior from Plasmonic Dirac Point: Theory and realization using 2D materials,
at
New Orleans, Louisiana,
Monday, March 13, 2017:
Epsilon-Near-Zero and Plasmonic Dirac Point by using 2D materials,
at
Thessaloniki, Greece,
Tuesday, July 5, 2016:
Plasmonic Periodic Structures Composed by 2D Materials,
at
University of Crete & CCQCN,
Wednesday, March 16, 2016:
Surface plasmons in active systems and 2D materials,
at
Wesleyan University,
Thursday, September 17, 2015:
Electromagnetic wave propagation in gradient index metamaterials, plasmonic systems and optical fiber networks,
at
department of physics, University of Crete, Greece,
Friday, October 31, 2014: