Thermodynamic Light Funneling in Time-Synthetic Photonic Lattices

We demonstrate the conservative funneling of light in a multimode nonlinear system, where light, irrespective of its initial distribution, converges into a localized channel. This thermodynamic-based phenomenon is experimentally observed in nonlinear time-synthetic mesh lattices.

Authors

Publication Details

Published
2025-01-01
DOI
https://doi.org/10.1364/cleo_fs.2025.ff140_6
Primary Topic
Neural Networks and Reservoir Computing
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Thermodynamic Light Funneling in Time-Synthetic Photonic Lattices

Georgios G. Pyrialakos, Hossein T. Dinani, Mahmoud A. Selim, Mercedeh Khajavikhan et al.
Neural Networks and Reservoir Computing
article

Thermodynamic Light Funneling in Time-Synthetic Photonic Lattices

Georgios G. Pyrialakos, Hossein T. Dinani, Mahmoud A. Selim, Mercedeh Khajavikhan, Ulf Peschel, Monika Monika, Huizhong Ren, Abraham M. Berman Bradley, Demetrios N. Christodoulides
article en

Abstract

We demonstrate the conservative funneling of light in a multimode nonlinear system, where light, irrespective of its initial distribution, converges into a localized channel. This thermodynamic-based phenomenon is experimentally observed in nonlinear time-synthetic mesh lattices.

Openalex Percentile: Top 87%
Neural Networks and Reservoir Computing
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.