most citedInvariant Manifolds and Rate Constants in Driven Chemical Reactions

27 citations · 27 across the 5 of their papers we have counts for

collaborators

5 papers

cs.DC2026

NUMA balancing hampering performance of spiking network simulations

Melissa Lober, Alp Inangu, Gorka Peraza Coppola +9

Computing centers today mostly operate conventional CPU- and GPU-based systems, where the direct way of decreasing energy consumption is a reduction in the applications' runtime. N…

cs.DC2026

Continuous benchmarking: Keeping pace with an evolving ecosystem of models and technologies

Jan Vogelsang, Melissa Lober, Catherine Mia Schöfmann +7

Drawing on ideas from continuous integration, we present concepts of an automated benchmarking pipeline for high performance applications. Customization and collaboration have been…

q-bio.NC2026

Learning sequence timing and control of replay speed in networks of spiking neurons

Melissa Lober, Younes Bouhadjar, Markus Diesmann +1

Processing sequential inputs is a fundamental brain function, underlying tasks such as sensory perception, language, and motor control. A challenge in sequence processing is to rep…

cs.DC2026

Exploiting network topology in brain-scale simulations of spiking neural networks

Melissa Lober, Markus Diesmann, Susanne Kunkel

Simulation code for conventional supercomputers serves as a reference for neuromorphic computing systems. The present bottleneck of distributed large-scale spiking neuronal network…

physics.chem-ph2019★ 27 cited

Invariant Manifolds and Rate Constants in Driven Chemical Reactions

Matthias Feldmaier, Philippe Schraft, Robin Bardakcioglu +7

Reaction rates of chemical reactions under nonequilibrium conditions can be determined through the construction of the normally hyperbolic invariant manifold (NHIM) [and moving div…