Semiconductor device dimensions have been decreasing steadily over the past several
decades, generating the need to overcome fundamental limitations of both the materials …

Recent clinical trials have shown that adaptive drug therapies can be more efficient than a
standard cancer treatment based on a continuous use of maximum tolerated doses (MTD) …

Surface reconstruction has been seeing a lot of progress lately by utilizing Implicit Neural
Representations (INRs). Despite their success, INRs often introduce hard to control inductive …

Neutron star mergers are very violent events involving extreme physical processes:
dynamic, strong-field gravity; large magnetic field; very hot, dense matter; and the copious …

Scaling iterative graph processing applications to large graphs is an important problem.
Performance is critical, as data scientists need to execute graph programs many times with …

The fast marching method is a widely used numerical method for solving the Eikonal
equation arising from a variety of scientific and engineering fields. It is long deemed …

Abstract The Fast Marching Method (FMM) is an efficient tool for the solution of the Eikonal
equation to characterize frontal propagation in heterogeneous and anisotropic media …

First-break traveltime tomography is based on the eikonal equation. Because the eikonal
equation is solved at fixed-shot positions and only receiver positions can move along the …

We propose a deep learning strategy to estimate the mean curvature of two-dimensional
implicit interfaces in the level-set method. Our approach is based on fitting feed-forward …

Numerous applications of Eikonal equations prompted the development of many efficient
numerical algorithms. The Heap-Cell Method (HCM) is a recent serial two-scale technique …