48 citations · 74 across the 3 of their papers we have counts for
3 papers
Lightweight and Effective Tensor Sensitivity for Atomistic Neural Networks
Michael Chigaev, Justin S. Smith, Steven Anaya +4
Atomistic machine learning focuses on the creation of models which obey fundamental symmetries of atomistic configurations, such as permutation, translation, and rotation invarianc…
A Robust, Performance-Portable Discontinuous Galerkin Method for Relativistic Hydrodynamics
Forrest W. Glines, Kristian R. C. Beckwith, Joshua R. Braun +10
In this work, we present a discontinuous-Galerkin method for evolving relativistic hydrodynamics. We include an exploration of analytical and iterative methods to recover the primi…
The Compact Linear ee Collider (CLIC): Physics Potential
P. Roloff, R. Franceschini, U. Schnoor +1
The Compact Linear Collider, CLIC, is a proposed ee collider at the TeV scale whose physics potential ranges from high-precision measurements to extensive direct sensitivit…