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ZENODO
Software . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Software . 2025
License: CC BY
Data sources: Datacite
ZENODO
Software . 2025
License: CC BY
Data sources: Datacite
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Data and scripts from: Synthesis of broadband multilayer metamaterial absorbers based on spatially-variable 3D-printed structures and MXenes

Authors: Passia, Maria-Thaleia; Zhao, Yilin; Wang, Haozhe; Cummer, Steven;

Data and scripts from: Synthesis of broadband multilayer metamaterial absorbers based on spatially-variable 3D-printed structures and MXenes

Abstract

MATLAB codes and data for the paper: M.-T. Passia, Y. Zhao, H. Wang, and S.A. Cummer, "Synthesis of broadband multilayer metamaterial absorbers based on spatially-variable 3D-printed structures and MXenes", Phys.Rev.Appl., DOI: https://doi.org/10.1103/8q6s-zg6y See the paper for more information. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No.101146306. The MSCA Global Postdoctoral Fellowship project is named MILLISURF. We introduce a systematic approach for enhancing the absorbance of multilayer metamaterial absorbers (MMA) by combining deep-subwavelength spatially variable dielectric substrates with the increased ohmic losses of MXene resonators. We choose MXenes to form the MMA resonators as they are ultrathin conductive materials that offer higher ohmic losses than copper used in PCBs, alleviate the need for post-treatment required by metal inks, and are considerably thinner than conductive filaments. Previous multilayer MMAs in the literature typically involve structured metal layers with a uniform dielectric profile or pyramidal-shaped substrates. The simplicity of the dielectric structure limits the design freedom and operational bandwidth of MMAs. In this work, we explore an alternative route to achieving increased design flexibility and enhanced absorption, by tailoring the dielectric substrates and consequently the underlying physics on a deep subwavelength scale. Advances in stereolithography (SLA) 3D-printing, allow the synthesis of suitable spatially variable 3D-printable dielectric structures. We inversely design the multilayer MMA by topology optimization, with the MMA substrate cells assuming dielectric constant values in the continuous range between air and the 3D-printer's resin. We develop a simple post-processing methodology, BINACONN3D, that transforms the optimized non-manufacturable MMA into a manufacturable one, while preserving performance. The BINACONN3D uses manufacturable configurations of a prescribed local air/resin composition to realize each designed dielectric material and accommodates detailed connectivity constraints across consecutive layers, to allow multilayer fabrication and assembly. Our work demonstrates the advantages of combining inversely designed spatially variable dielectric structures with the increased ohmic losses of MXene resonators. We fabricate and experimentally characterize the synthesized MMA, with measurements in good agreement with the simulations. Our approach paves the way for improving the performance of existing metamaterial devices by leveraging high-resolution spatially variable dielectric structures.

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Keywords

metamaterial absorbers, 3D printing, MXenes, spatially-variable dielectric structures

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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