通过局部方法实现具有 3D 可打印空间可变衬底的 MXene 超材料吸收体的计算易处理合成
Computationally-tractable synthesis of an MXene metamaterial absorber with a 3D-printable spatially variable substrate by a local approach
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中文总结 AI 辅助
研究基于 3D 可打印空间可变衬底的 MXene 超材料吸收体合成难题，提出 LOCABINACONN3D 方法，通过适应连接约束、模拟子区域及用半解析求解器，使 MMA 可制造且性能保留，为高效合成大规模 MMA 铺路。
中文摘要 AI 辅助
我们引入 LOCABINACONN3D 方法，以实现基于空间可变 3D 可打印衬底的 MXene 超材料吸收体（MMA）的计算易处理合成。与恒定衬底相比，空间可变衬底可提供增强的吸收带宽。此类 MXene MMA 通常通过逆向设计合成，这可能导致无法制造的优化介电衬底。为将不可制造的介电衬底转变为可制造的，现有方法要么在优化中添加制造约束，这可能导致 MMA 优化程度降低，要么计算成本高昂。我们开发了 LOCABINACONN3D 方法，使优化的 MMA 可制造且性能得以保留。该方法能适应连续层间的详细连接约束以促进多层制造，还能通过仅模拟较小的可制造 MMA 子区域并使用半解析线方法（MoL）求解器而非全波方法来确定合适的可制造配置，从而扩展到更大的 MMA。这项工作为更高效地合成优化的大规模 3D 可打印 MMA 铺平了道路。
英文摘要
We introduce the LOCABINACONN3D methodology to enable the computationally tractable synthesis of MXene metamaterial absorbers (MMA) based on spatially variable 3D-printable substrates. Spatially variable substrates offer enhanced absorption bandwidth compared to constant ones. Such MXene MMAs are typically synthesized by inverse design, which may lead to non-manufacturable optimized dielectric substrates. To transform non-manufacturable dielectric substrates into manufacturable ones, existing methodologies either add manufacturing constraints to the optimization, which may lead to less optimized MMAs, or are computationally expensive, as they require full-wave simulations of the entire manufacturable MMA. We develop a computationally tractable methodology, LOCABINACONN3D, to render optimized MMAs manufacturable, preserving performance. Our methodology (i) accommodates detailed connectivity constraints across consecutive layers, thus facilitating multilayer fabrication, and (ii) enables scaling to larger MMAs, by requiring simulations only of smaller manufacturable MMA subareas and by using a semi-analytical method-of-lines (MoL) solver instead of full-wave methods to determine suitable manufacturable configurations. This work paves the way for synthesizing optimized larger-scale 3D-printable MMAs more efficiently.
