A deep reinforcement learning framework optimizes silicon-based photonic crystal fiber modulators, achieving ultra-low ...
Bias control in optical modulators is critical to maintain optimal operating points and ensure high-fidelity signal transmission. Environmental fluctuations such as temperature changes, mechanical ...
Engineered Ag–Si interfacial plasmonic modes enable deconvolution-verified sub-100 fs all-optical modulation, overcoming the temporal bottleneck imposed by electron–phonon relaxation in conventional ...