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Rupesh Mahore

Publications and source records attributed to Rupesh Mahore.

2 recordsLinked to original sources

Dynamical frustration in spacetime metamaterials enables cascading logic and synchronization

Spacetime metamaterials are engineered media whose constitutive parameters such as permittivity, permeability, stiffness, or mass density are modulated simultaneously in both space and time. These additional degrees of freedom, absent in conventional static metamaterials, unlock a cabinet of wave phenomena that cannot be achieved in time-invariant structures, e.g. compact nonreciprocal devices, topological insulators, and devices for efficient frequency conversion and mixing and pulse shaping. The vast majority of these studies, however, operate in the stable regime, where modulation parameters are chosen to yield linear wave propagation. Here, we push spacetime metamaterials into the regime of parametric instability, and discover a novel type of ``dynamically frustrated'' oscillating states, where nonlinear non-reciprocal, topologically protected phase dislocations emerge. We control these dislocations and make them stop, split, and recombine. We harness this control to create devices for cascading logic in branched networks, and synchronization in 2D metamaterials. Our findings are broadly applicable anywhere where spacetime modulation can be pushed beyond linear stability, from cold atoms and superconducting circuits to acoustics and RF circuits.

cond-mat.soft

Emergence of intelligent collective motion in a group of agents with memory

Intelligent agents collect and process information from their dynamically evolving neighbourhood to efficiently navigate through it. However, agent-level intelligence does not guarantee that at the level of a collective; a common example is the jamming we observe in traffic flows. In this study, we ask: how and when do the interactions between intelligent agents translate to desirable or intelligent collective outcomes? We explore this question in the context of a bidisperse crowd of agents with opposing desired directions of movement, like in a pedestrian crossing. We model a facet of intelligence, viz. memory, where the agents remember how well they were able to travel in their desired directions and make up for their non-optimal past. We find that memory has a non-monotonic effect on the dynamics of the collective. When memory is short term, the local rearrangement of the agents lead to the formation of symmetrically jammed arrangements, which take longer to unjam. However, when agents remember across longer time-scales, we find that the dynamics of an agent becomes sensitive to the relatively small differences in the history of the nearby agents. This gives rise to heterogeneity in the movement that causes agents to unjam more readily and form lanes that ease the movement.

nlin.AO