论文标题
部分可观测时空混沌系统的无模型预测
Direct synthesis of single-crystal bilayer graphene on various dielectric substrates
论文作者
论文摘要
储层计算是预测湍流的有力工具，其简单的架构具有处理大型系统的计算效率。然而，其实现通常需要完整的状态向量测量和系统非线性知识。我们使用非线性投影函数将系统测量扩展到高维空间，然后将其输入到储层中以获得预测。我们展示了这种储层计算网络在时空混沌系统上的应用，该系统模拟了湍流的若干特征。我们表明，使用径向基函数作为非线性投影器，即使只有部分观测并且不知道控制方程，也能稳健地捕捉复杂的系统非线性。最后，我们表明，当测量稀疏、不完整且带有噪声，甚至控制方程变得不准确时，我们的网络仍然可以产生相当准确的预测，从而为实际湍流系统的无模型预测铺平了道路。
In this work, a novel method to grow high-quality and large bilayer graphene (BLG) directly on various dielectric substrates was demonstrated. Large area single-crystal monolayer graphene was applied as a seeding layer to facilitate the homo-epitaxial synthesis of single crystal BLG directly on insulating substrates. The Cu nano-powders (Cu NP) with nanostructure and high surface-area were used as the remote catalysis to provide long-lasting catalytic activity during the graphene growth. The TEM results confirmed the single-crystalline nature of the BLG domains, which validates the superiority of the homo-epitaxial growth technique. The as-grown BLG show comparable quality with the CVD-grown BLG on metal surface. Field-effect transistors directly fabricated on the as-grown BLG/SiO$ _2 $/Si showed a room temperature carrier mobility as high as 2297 cm $ ^2 $ V$ ^{-1}$ s $^{-1} $.
