Quantum active matter shows mean-squared displacement scaling as t^6 or t^7 derived analytically from a Wigner phase-space master equation.
Title resolution pending
6 Pith papers cite this work. Polarity classification is still indexing.
citation-role summary
citation-polarity summary
verdicts
UNVERDICTED 6roles
background 1polarities
background 1representative citing papers
Candidate-dependent extremal alignment in topological active matter generates self-confined, spatially structured flocks by factorizing decision utility into average score times neighbor count.
Number fluctuation signals N(t) distinguish self-propelled particle models via differences in reorientation dynamics.
Active learning with neural-network entropy sampling maps the Vicsek model's phase diagram, revealing a density-dependent intermediate regime of dense locally-ordered bands coexisting with dilute background.
Inertial active chains show multiple MSD crossovers and systematically evolving non-Gaussian velocity distributions captured by excess kurtosis.
An agent-based model with orientation-weighted velocity-dependent alignment generates disordered, flocking, jammed, and active-crystal-like collective phases by varying alignment strength.
citing papers explorer
-
Anomalous Mean-Squared Displacement in Quantum Active Matter from a Wigner Phase-Space Framework
Quantum active matter shows mean-squared displacement scaling as t^6 or t^7 derived analytically from a Wigner phase-space master equation.
-
Spatially Structured Cohesion from Extremal Alignment in Topological Active Matter
Candidate-dependent extremal alignment in topological active matter generates self-confined, spatially structured flocks by factorizing decision utility into average score times neighbor count.
-
Number fluctuations distinguish different self-propelling dynamics
Number fluctuation signals N(t) distinguish self-propelled particle models via differences in reorientation dynamics.
-
Active-learning mapping of the Vicsek model phase diagram
Active learning with neural-network entropy sampling maps the Vicsek model's phase diagram, revealing a density-dependent intermediate regime of dense locally-ordered bands coexisting with dilute background.
-
Collective dynamics of active matter with orientation-weighted alignment
An agent-based model with orientation-weighted velocity-dependent alignment generates disordered, flocking, jammed, and active-crystal-like collective phases by varying alignment strength.