742 citations · 943 across the 6 of their papers we have counts for
6 papers
Radiation from Global Topological Strings using Adaptive Mesh Refinement: Massive Modes
Amelia Drew, E. P. S. Shellard
We implement adaptive mesh refinement (AMR) simulations of global topological strings using the public code, GRChombo. We perform a quantitative investigation of massive radiation…
GRChombo: An adaptable numerical relativity code for fundamental physics
Tomas Andrade, Llibert Areste Salo, Josu C. Aurrekoetxea +29
GRChombo is an open-source code for performing Numerical Relativity time evolutions, built on top of the publicly available Chombo software for the solution of PDEs. Whilst GRChomb…
Lessons for adaptive mesh refinement in numerical relativity
Miren Radia, Ulrich Sperhake, Amelia Drew +7
We demonstrate the flexibility and utility of the Berger-Rigoutsos Adaptive Mesh Refinement (AMR) algorithm used in the open-source numerical relativity code GRChombo for generatin…
Training Neural Machine Translation (NMT) Models using Tensor Train Decomposition on TensorFlow (T3F)
Amelia Drew, Alexander Heinecke
We implement a Tensor Train layer in the TensorFlow Neural Machine Translation (NMT) model using the t3f library. We perform training runs on the IWSLT English-Vietnamese '15 and W…
Radiation from Global Topological Strings using Adaptive Mesh Refinement: Methodology and Massless Modes
Amelia Drew, E. P. S. Shellard
We implement adaptive mesh refinement (AMR) simulations of global topological strings using the public numerical relativity code, GRChombo. We perform a quantitative investigation…
Black holes, gravitational waves and fundamental physics: a roadmap
Leor Barack, Vitor Cardoso, Samaya Nissanke +203
The grand challenges of contemporary fundamental physics---dark matter, dark energy, vacuum energy, inflation and early universe cosmology, singularities and the hierarchy problem-…