453nm光激发下porphyrin-ruthenium二聚体的超快速能级转移观测

时间分辨
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本文主要探讨了通过时间分辨荧光光谱技术对一种由polypyridyl ruthenium II [Ru(phen)2(ip)]2+ 和5,10,15,20-四苯基卟啉（H2TPP）组成的分子复合物——卟啉-钌二元体系的光致发光动态特性进行直接观测。这项研究的焦点在于超快的能量转移过程。 在实验中，当[Ru(phen)2(ip)]2+ 分子在453纳米的光激发下，观察到一个显著的现象：在300皮秒（ps）的时间尺度上，发生了高效的能量转移。这种现象表明，两个分子之间存在一种快速的非辐射能量传递机制，可能是通过 Förster共振能量转移（FRET）或者其他高效能传递途径，使得初始激发的能量迅速转移到了H2TPP分子上，从而影响了后续的发光行为。 然而，当激发波长调整至400纳米，对应于H2TPP的吸收峰时，却没有观察到类似的能量转移。这暗示了能量转移的发生并非是简单的线性关系，而是依赖于激发光的波长和分子间的距离，以及它们之间的相互作用强度。400纳米的光没有激发到[Ru(phen)2(ip)]2+ 的能量吸收特征，因此能量转移过程被抑制，显示出能量传递的敏感性。 这项研究对于理解光致反应动力学、设计新型光致变色材料以及探索生物光化学过程中的能量传递机制具有重要意义。它展示了如何利用时间分辨荧光技术来揭示分子复合物中的复杂能量流动，并为未来的光能转化和控制提供了新的见解。通过深入研究这类卟啉-金属配合物，科学家们可以开发出更高效、响应更快的光驱动设备，如太阳能电池、光催化剂和生物传感器。

Direct observation of interlayer coherent acoustic phonon dynamics in bilayer and few-layer PtSe

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This work reports the real-time observation of the interlayer lattice vibrations in bilayer and few-layer

Direct observation as a research technique

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Thirty years ago, in his article on observation in the Review of Educational Research, Jersild wrote: “Direct observation is the oldest, and remains the com- monest instrument of scientific ...

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标题“Ultrafast Dynamics Observation of Femtosecond Laser and Material Interaction”和描述说明了一篇关于飞秒激光与材料相互作用的超快动态观察研究论文。这篇研究论文主要关注的是飞秒激光与材料交互作用时...

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例如，要判断两个 `java.lang.Long` 类型的对象 `a` 和 `b` 是否相等，可以使用以下方式： ``` if (a.equals(b)) { // a 和 b 相等 } else { // a 和 b 不相等 } ``` 如果要判断两个 `long` 类型的基本数据类型...

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2023-06-11 上传
这个错误是由于您的 `dlnetwork` 的前向传递中出现了问题。具体来说，可能是以下原因之一： 1. 您的输入数据的形状不正确。请确保您的输入数据的形状与您的网络期望的形状相同。您可以使用 `size` 函数检查输入数据...

Maximum Likelihood Estimation

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To do this, we first write down the likelihood function, which is the product of the probability density function of each observation in the sample. We then take the natural logarithm of the ...

这是什么意思We optimize the loss (3) or (6) by projected gradient descent with line search (subject to the observation above). The projection consists of imposing Pk Yk = 0, which we enforce by centering ∇Y before taking a step. This eliminates the degeneracy of the Loss in (3) and (6) w.r.t constant shift in Y. To further improve the good trade-off between time per iteration and number of iterations, we found that a heavy-ball method with parameter α is effective. At each iteration computing the gradient is O((S + s3)n) where S is the number of nonzero entries of L.

2023-06-02 上传
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2023-05-30 上传
值得注意的是，在这项工作中，我们还研究了在附加假设下最小化(1)的STSA估计器，即在嘈杂的观测中信号不一定存在[11，[3]。虽然这个估计器相对于使用(20)得到的残余噪声进一步减少，但它也会在增强语音信号上引入低...

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As an AI language model, I don't have visual capabilities to recognize people in pictures. However, here are some tips for...Remember, recognizing a person in a picture requires patience and observation.
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