Mo2TiC2Tx MXene可饱和吸收用于片上神经网络

中文摘要 AI 辅助

MXene因其宽带光学响应和化学可调性，在集成非线性光子学领域引起了广泛关注，然而现有研究主要集中于钛基组分，双过渡金属MXene的非线性潜力在很大程度上尚未被探索。本文量化了双过渡金属MXene \ce{Mo2TiC2T_x}的非线性光学响应，并展示了其作为波导集成非线性激活元件在神经形态光子学中的功能。在\SI{800}{\nano\metre}波长下的Z扫描测量揭示了两种不同厚度薄膜中的强可饱和吸收，得到的有效非线性吸收系数（$\beta_\mathrm{eff}$）介于约$-2.69\times10^{3}$至$-0.88\times10^{3}$ \si{\centi\metre\per\giga\watt}之间，且非线性响应在较高激发强度下降低。提取的非线性吸收比在可比条件下报道的\ce{Ti3C2T_x} MXene大约高一个数量级。我们将超薄\ce{Mo2TiC2T_x} MXene层集成到硅脊波导上，实现了一种紧凑的非线性光学激活功能，当将其应用于神经网络仿真器时，在MNIST基准上实现了$98.39\\%$的分类准确率。这项工作将MXene材料平台扩展到钛基组分之外，并确立了双过渡金属MXene作为高性能集成非线性光子学和神经形态计算技术的有前景候选材料。

英文摘要

MXenes have attracted considerable interest for integrated nonlinear photonics owing to their broadband optical response and chemical tunability, yet investigations have focused predominantly on Ti-based compositions, leaving the nonlinear potential of double-transition-metal MXenes largely unexplored. Here we quantify the nonlinear optical response of the double-transition-metal MXene \ce{Mo2TiC2T_x} and demonstrate its functionality as a waveguide-integrated nonlinear activation element for neuromorphic photonics. Z-scan measurements at \SI{800}{\nano\metre} reveal strong saturable absorption in films of two different thicknesses, yielding effective nonlinear absorption coefficients ($β_\mathrm{eff}$) between approximately $-2.69\times10^{3}$ and $-0.88\times10^{3}$ \si{\centi\metre\per\giga\watt}, with the nonlinear response decreasing at higher excitation intensities. The extracted nonlinear absorption is approximately one order of magnitude larger than that reported for \ce{Ti3C2T_x} MXene under comparable conditions. We integrate an ultrathin \ce{Mo2TiC2T_x} MXene layer onto a silicon rib waveguide to realize a compact nonlinear optical activation function, which, when implemented in a neural-network emulator, achieves $98.39\%$ classification accuracy on the MNIST benchmark. This work expands the MXene material platform beyond Ti-based compositions and establishes double-transition-metal MXenes as promising candidates for high-performance integrated nonlinear photonic and neuromorphic computing technologies.

发表机构

• Ben-Gurion University of the Negev（内盖夫本-古里安大学）
• Tel Aviv University（特拉维夫大学）
• Purdue University（普渡大学）
• Indian Institute of Science（印度科学学院）

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