A high-order integral equation-based solver for the time-dependent Schrödinger equation
We introduce a numerical method for the solution of the time-dependent Schrödinger equation with a smooth potential, based on its…
Comm. Pure Appl. Math.Numerical Analysis
The direct numerical simulation of many scientific processes remains impractical, even with modern supercomputers.
At CCM, we are developing fast, accurate and robust high-order solvers for many of the equations of classical and modern physics in complicated geometries, with application to fluid dynamics, electromagnetics, acoustics, heat transfer and diffusion, quantum mechanics and plasma physics. We also build efficient software libraries for fundamental tasks in scientific computing and data analysis.
For information about the weekly seminar, see here.
Research Highlights
SpikeForest, reproducible web-facing ground-truth validation of automated neural spike sorters
Spike sorting is a crucial step in electrophysiological studies of neuronal activity. While many spike sorting packages are available, there…
eLife
