Topological Photonic Crystals: A Techno-Economic Assessment
Santiago Bianchi
Corresponding
National University of Singapore
Fatima Sen
University of New South Wales
Abstract
Increasing deployment of flood-prone deltas has exposed clear limitations in existing approaches to topological photonic crystals. This study applies random forest regression to a representative set of cases drawn from flood-prone deltas. The method identified 7 dominant factors governing topological photonic crystals. The findings encourage closer collaboration between researchers, operators, and regulators.
Keywords:
topological photonic crystalsrandom forest regressionenergy storagebase isolation
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