English

Self-Organized Optical Pathways in Optofluidic Photonic Crystals

Optics 2026-03-30 v1 Neural and Evolutionary Computing

Abstract

This paper reports FDTD simulations of optofluidic reconfiguration in two-dimensional silicon photonic crystal waveguides, treating structural plasticity (the creation and destruction of optical pathways) via selective fluid infiltration. Using MPB eigenmode analysis, we decouple bandgap narrowing from defect-mode weakening, showing that defect weakening dominates (2.4 times faster transmission decay than bandgap narrowing at CS_2 indices). Infiltration topology controls signal routing (L-bend selectivity S = 0.98), though modulation depth is weak (Delta varepsilon/ varepsilon_ textSi = 11 %). A phenomenological optothermal feedback model produces self-organized pathways that achieve 63 % of a hand-designed waveguide's bandgap transmission (7.6 times the heavily suppressed empty-crystal baseline). Amplitude competition between counter-propagating sources produces strong, monotonic pathway steering (DeltaCOM_x from +0.03 to +4.92 ;a), while pulsed spike-timing-dependent plasticity yields a predictable null result: the timing-sensitive cross-term is suppressed by >10^2 when pulse delays exceed the temporal pulse width. The results provide benchmarks and identify physical limits for bio-inspired reconfigurable optofluidic photonics.

Keywords

Cite

@article{arxiv.2603.25845,
  title  = {Self-Organized Optical Pathways in Optofluidic Photonic Crystals},
  author = {Steven Motta},
  journal= {arXiv preprint arXiv:2603.25845},
  year   = {2026}
}

Comments

26 pages, 28 figures, 5 tables, 46 references. Code at https://github.com/Stemo688/neuromorphic-optofluidic

R2 v1 2026-07-01T11:39:50.764Z