output
20062026
most citedHigher harmonic anisotropic flow measurements of charged particles in Pb-Pb collisions at 2.76 TeV

643 citations

Showing 2021Show all

11 papers · 1 filter

cond-mat.mes-hall2021★ 56 cited

Giant magnetochiral anisotropy from quantum confined surface states of topological insulator nanowires

Henry F. Legg, Matthias Rößler, Felix Münning +9

Wireless technology relies on the conversion of alternating electromagnetic fields to direct currents, a process known as rectification. While rectifiers are normally based on semi…

cs.MS2021★ 56 cited

Adaptive numerical simulations with Trixi.jl: A case study of Julia for scientific computing

Hendrik Ranocha, Michael Schlottke-Lakemper, Andrew R. Winters +3

We present Trixi.jl, a Julia package for adaptive high-order numerical simulations of hyperbolic partial differential equations. Utilizing Julia's strengths, Trixi.jl is extensible…

cs.RO2021

Impact of Energy Efficiency on the Morphology and Behaviour of Evolved Robots

Margarita Rebolledo, Daan Zeeuwe, Thomas Bartz-Beielstein +1

Most evolutionary robotics studies focus on evolving some targeted behavior without taking the energy usage into account. This limits the practical value of such systems because en…

q-bio.MN2021★ 1 cited

Switching off: the phenotypic transition to the uninduced state of the lactose uptake pathway

Prasanna M. Bhogale, Robin A. Sorg, Jan-Willem Veening +1

The lactose uptake-pathway of E. coli is a paradigmatic example of multistability in gene-regulatory circuits. In the induced state of the lac-pathway, the genes comprising the lac…

cs.NE2021

Automating Speedrun Routing: Overview and Vision

Matthias Groß, Dietlind Zühlke, Boris Naujoks

Speedrunning in general means to play a video game fast, i.e. using all means at one's disposal to achieve a given goal in the least amount of time possible. To do so, a speedrun m…

cs.NE2021★ 5 cited

Behavior-based Neuroevolutionary Training in Reinforcement Learning

Jörg Stork, Martin Zaefferer, Nils Eisler +3

In addition to their undisputed success in solving classical optimization problems, neuroevolutionary and population-based algorithms have become an alternative to standard reinfor…