Ultra-compact Design of Power Splitters via Machine Learning


We demonstrate efficient ultra-compact power splitters designed via machine learning algorithm viz. binary-additive reinforcement learning algorithm. Two different splitter geometries (Y- and T- junctions) are shown; each with an area footprint of 1.2 × 1.2 μm2. The simulated insertion loss is



Software And Hardware

• Hardware: Processor: i3 ,i5 RAM: 4GB Hard disk: 16 GB • Software: operating System : Windws2000/XP/7/8/10 Anaconda,jupyter,spyder,flask Frontend :-python Backend:- MYSQL