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Concept

Airy wave theory

Publications associées (26)

Electromagnetic waves under nonstationary conditions, the connection with parity-time symmetry and studies on resonant systems

Theodoros Koutserimpas

In this thesis, the electromagnetic wave propagation is studied in nonstationary-medium scenarios. The electromagnetic fields under material time-modulation are shown to conserve their momentum but not their energy. The mathematical foundations and analysi ...

EPFL2021

Angular Momentum in Rotating Superfluid Droplets

Christoph Bostedt, Camila Bacellar Cases Da Silveira

The angular momentum of rotating superfluid droplets originates from quantized vortices and capillary waves, the interplay between which remains to be uncovered. Here, the rotation of isolated submicrometer superfluid He-4 droplets is studied by ultrafast ...

AMER PHYSICAL SOC2020

Gravity Wave Excitation during the Coastal Transition of an Extreme Katabatic Flow in Antarctica

Alexis Berne, Etienne Gabriel Henri Vignon

The offshore extent of Antarctic katabatic winds exerts a strong control on the production of sea ice and the formation of polynyas. In this study, we make use of a combination of ground-based remotely sensed and meteorological measurements at Dumont d'Urv ...

2020

Lower Hybrid Current Drive in High Aspect Ratio Tokamaks

Xiaoxia Bai, Joan Decker, Hoang-Trang Lam

A multi-machine study has been carried out to investigate the impact of a strongly bounded wave propagation domain on the Lower Hybrid current drive, a condition which occurs principally in high aspect ratio tokamaks. In this regime, the condition of kinet ...

SPRINGER2020

Strongly Coupled Coherent Phonons in Single-Layer MoS2

Andras Kis, Dumitru Dumcenco

We present a transient absorption setup combining broadband detection over the visible-UV range with high temporal resolution (similar to 20 fs) which is ideally suited to trigger and detect vibrational coherences in different classes of materials. We gene ...

AMER CHEMICAL SOC2020

Constraint-aware neural networks for Riemann problems

Jan Sickmann Hesthaven, Deep Ray

Neural networks are increasingly used in complex (data-driven) simulations as surrogates or for accelerating the computation of classical surrogates. In many applications physical constraints, such as mass or energy conservation, must be satisfied to obtai ...

ACADEMIC PRESS INC ELSEVIER SCIENCE2020