A programmable wafer-scale chiroptical heterostructure of twisted aligned carbon nanotubes and phase change materials
Jichao Fan, Ruiyang Chen, Minhan Lou, Haoyu Xie, Nina Hong, Yingheng, Tang, Weilu Gao

TL;DR
This paper presents a scalable, programmable wafer-scale chiroptical heterostructure combining twisted aligned carbon nanotubes and phase change materials, enabling dynamic control of circular dichroism responses through machine learning-optimized design and phase transitions.
Contribution
It introduces a full stack of design, simulation, and experimental implementation of a scalable, programmable chiroptical heterostructure with dynamic tunability using machine learning and phase change materials.
Findings
Experimental realization matches simulations.
Polarity reversal of CD upon flipping sample.
Heterostructure scalability with stacking layers.
Abstract
The ability to design and dynamically control chiroptical responses in solid-state matter at wafer scale enables new opportunities in various areas. Here we present a full stack of computer-aided designs and experimental implementations of a dynamically programmable, unified, scalable chiroptical heterostructure containing twisted aligned one-dimensional (1D) carbon nanotubes (CNTs) and non-volatile phase change materials (PCMs). We develop a software infrastructure based on high-performance machine learning frameworks, including differentiable programming and derivative-free optimization, to efficiently optimize the tunability of both excitonic reciprocal and linear-anisotropy-induced nonreciprocal circular dichroism (CD) responses. We experimentally implement designed heterostructures with wafer-scale self-assembled aligned CNTs and deposited PCMs. We dynamically program reciprocal…
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Taxonomy
TopicsPhase-change materials and chalcogenides · Liquid Crystal Research Advancements · Advanced Materials and Mechanics
