93 citations · 194 across the 6 of their papers we have counts for
6 papers
Bayesian eikonal tomography using Gaussian processes
Jack B. Muir
Eikonal tomography has become a popular methodology for deriving phase velocity maps from surface wave phase delay measurements. Its high efficiency makes it popular for handling d…
A Deep Gaussian Process Model for Seismicity Background Rates
Jack B. Muir, Zachary E. Ross
The spatio-temporal properties of seismicity give us incisive insight into the stress state evolution and fault structures of the crust. Empirical models based on self-exciting poi…
Effects of Floquet Engineering on the Coherent Exciton Dynamics in Monolayer WS
Mitchell A. Conway, Stuart K. Earl, Jack B. Muir +7
Coherent optical manipulation of electronic bandstructures via Floquet Engineering is a promising means to control quantum systems on an ultrafast timescale. However, the ultrafast…
Exciton-polaron interactions in monolayer WS
Jack B. Muir, Jesper Levinsen, Stuart K. Earl +12
Interactions between quasiparticles are of fundamental importance and ultimately determine the macroscopic properties of quantum matter. A famous example is the phenomenon of super…
Coherent Dynamics of Floquet-Bloch States in Monolayer WS2 Reveals Fast Adiabatic Switching
S. K. Earl, M. A. Conway, J. B Muir +4
Floquet engineering offers a path to optically-controlled materials, but experimental implementations have frequently relied on femtosecond pulses to achieve the high peak fields r…
HypoSVI: Hypocenter inversion with Stein variational inference and Physics Informed Neural Networks
Jonathan D. Smith, Zachary E. Ross, Kamyar Azizzadenesheli +1
We introduce a scheme for probabilistic hypocenter inversion with Stein variational inference. Our approach uses a differentiable forward model in the form of a physics informed ne…