Nonlinear Epsilon-Near-Zero (NLENZ) Predictive Modeling App
2023 International Applied Computational Electromagnetics Society Symposium (ACES)（2023）
Dept. Electrical Engineering
Abstract
Epsilon-near-zero materials are studied through various lenses including theoretical studies and explorative experiments. Here, we describe an online, open-source, predicitve model to bridge the gap between theory and experiments that can describe the free-carrier nonlinearities within the materials based on physical models. With the increasing interest in the epsilon-near-zero field, experiments are time consuming and costly, where this app provides a predictive model to the community for use.
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