10 citations · 10 across the 6 of their papers we have counts for
6 papers
Pattern recognition in complex systems via vector-field representations of spatio-temporal data
Ingrid Amaranta Membrillo Solis, Maria van Rossem, Tristan Madeleine +5
A complex system comprises multiple interacting entities whose interdependencies form a unified whole, exhibiting emergent behaviours not present in individual components. Examples…
Multiscale geometrical and topological learning in the analysis of soft matter collective dynamics
Tetiana Orlova, Amaranta Membrillo Solis, Hayley R. O. Sohn +5
Understanding the behavior and evolution of a dynamical many-body system by analyzing patterns in their experimentally captured images is a promising method relevant for a variety…
Topological learning for the classification of disorder: an application to the design of metasurfaces
Tristan Madeleine, Nina Podoliak, Oleksandr Buchnev +4
Structural disorder can improve the optical properties of metasurfaces, whether it is emerging from some large-scale fabrication methods, or explicitly designed and built lithograp…
Coherence build up and laser thresholds from nanolasers to macroscopic lasers
Mark Anthony Carroll, Giampaolo D'Alessandro, Gian Luca Lippi +2
We detail the derivation of nanolaser models that include coherent and incoherent variables and predict the existence of a laser threshold, irrespective of cavity size and emitter…
Reply to the Comment on "Thermal, quantum antibunching and lasing thresholds from single emitters to macroscopic devices"
Mark Anthony Carroll, Giampaolo D'Alessandro, Gian Luca Lippi +2
We deconstruct and address a comment to Carroll et al. [Phys Rev Lett 126, 063902 (2021)] (PRL) that has been posted on arXiv appearing as two versions [arXiv:2106.15242v1] and [ar…
Structural heterogeneity: a topological characteristic to track the time evolution of soft matter systems
Ingrid Membrillo Solis, Tetiana Orlova, Karolina Bednarska +5
We introduce structural heterogeneity, a new topological characteristic for semi-ordered materials that captures their degree of organisation at a mesoscopic level and tracks their…