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Electronic excitations at the plasmon–molecule interface 质子-分子界面上的电子激发
IF 17.6 1区 物理与天体物理 Q1 PHYSICS, MULTIDISCIPLINARY Pub Date : 2024-07-15 DOI: 10.1038/s41567-024-02537-6
Andrei Stefancu, Naomi J. Halas, Peter Nordlander, Emiliano Cortes
The recent rise of plasmonic materials for solar-to-chemical energy conversion places a focus on the mechanisms associated with charge and energy flow at the metal–molecule interface. Understanding the connection between these effects and their roles in the plasmonic excitations of adsorbed molecules has been challenging. In this Review, we strive to provide a general framework—based on the concept of electron scattering—that encompasses the most important effects at the plasmonic metal–molecule interface. First we use the model of adsorbate-induced surface resistivity to understand the chemical specificity of the electron scattering process. We then analyse two of the most prominent effects in plasmonics through the lens of the electron scattering model: chemical interface damping and the chemical model of surface-enhanced Raman scattering. We show how most metal–adsorbate charge- or energy-transfer interactions can be mapped into two major classes—electron scattering through molecular resonances and direct non-resonant electron scattering. Plasmonic excitations can enhance the interaction between a metal and molecules adsorbed onto its surface. This Review summarizes the different effects involved in this process and places them into a framework based on electron scattering.
近来,用于太阳能到化学能转换的等离子体材料的兴起,使人们开始关注与金属分子界面上的电荷和能量流动相关的机制。理解这些效应之间的联系及其在吸附分子等离子激元中的作用一直是个挑战。在这篇综述中,我们致力于提供一个基于电子散射概念的总体框架,其中包含了金属-分子等离子界面上最重要的效应。首先,我们使用吸附剂诱导的表面电阻率模型来理解电子散射过程的化学特异性。然后,我们通过电子散射模型的视角分析了质子学中最突出的两种效应:化学界面阻尼和表面增强拉曼散射的化学模型。我们展示了大多数金属-吸附剂电荷或能量转移相互作用如何被映射为两大类--通过分子共振的电子散射和直接非共振电子散射。
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引用次数: 0
On the limitations of the semi-classical picture in high harmonic generation 关于高次谐波生成中半经典图景的局限性
IF 17.6 1区 物理与天体物理 Q1 PHYSICS, MULTIDISCIPLINARY Pub Date : 2024-07-11 DOI: 10.1038/s41567-024-02579-w
Philipp Stammer
High harmonic generation has long been successfully described using the semi-classical three-step model. However, recent progress has introduced a quantum optical formulation, exposing the limitations of the semi-classical picture.
长期以来,高次谐波发生一直成功地使用半经典三步模型进行描述。然而,最近的进展引入了量子光学表述,暴露了半经典图景的局限性。
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引用次数: 0
A way to cross the Andreev bridge 穿越安德烈耶夫桥的方法
IF 17.6 1区 物理与天体物理 Q1 PHYSICS, MULTIDISCIPLINARY Pub Date : 2024-07-10 DOI: 10.1038/s41567-024-02575-0
Jing Wang, Zhaochen Liu
Inducing superconductivity in quantum anomalous Hall insulators is crucial to realize topological superconductors. Now a study shows superconducting correlations in the quantum anomalous Hall state, which can convert electrons on its one-way path into holes.
在量子反常霍尔绝缘体中诱导超导电性对于实现拓扑超导体至关重要。现在,一项研究显示了量子反常霍尔态中的超导关联,它可以将单向路径上的电子转化为空穴。
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引用次数: 0
Induced superconducting correlations in a quantum anomalous Hall insulator 量子反常霍尔绝缘体中的诱导超导相关性
IF 17.6 1区 物理与天体物理 Q1 PHYSICS, MULTIDISCIPLINARY Pub Date : 2024-07-10 DOI: 10.1038/s41567-024-02574-1
Anjana Uday, Gertjan Lippertz, Kristof Moors, Henry F. Legg, Rikkie Joris, Andrea Bliesener, Lino M. C. Pereira, A. A. Taskin, Yoichi Ando
Thin films of ferromagnetic topological insulator materials can host the quantum anomalous Hall effect without the need for an external magnetic field. Inducing Cooper pairing in such a material is a promising way to realize topological superconductivity with the associated chiral Majorana edge states. However, finding evidence of the superconducting proximity effect in such a state has remained a considerable challenge due to inherent experimental difficulties. Here we demonstrate crossed Andreev reflection across a narrow superconducting Nb electrode that is in contact with the chiral edge state of a quantum anomalous Hall insulator. In the crossed Andreev reflection process, an electron injected from one terminal is reflected out as a hole at the other terminal to form a Cooper pair in the superconductor. This is a compelling signature of induced superconducting pair correlation in the chiral edge state. The characteristic length of the crossed Andreev reflection process is found to be much longer than the superconducting coherence length in Nb, which suggests that the crossed Andreev reflection is, indeed, mediated by superconductivity induced on the quantum anomalous Hall insulator surface. Our results will invite future studies of topological superconductivity and Majorana physics, as well as for the search for non-abelian zero modes. The superconducting proximity effect has not been experimentally demonstrated in a quantum anomalous Hall insulator. Now this effect is observed in the chiral edge state of a ferromagnetic topological insulator.
铁磁拓扑绝缘体薄膜材料无需外加磁场即可承载量子反常霍尔效应。在这种材料中诱导库珀配对是实现拓扑超导及相关手性马约拉纳边缘态的一种可行方法。然而,由于固有的实验困难,在这种状态下寻找超导邻近效应的证据仍然是一个相当大的挑战。在这里,我们展示了与量子反常霍尔绝缘体手性边缘态接触的窄超导铌电极之间的交叉安德列夫反射。在交叉安德烈耶夫反射过程中,从一端注入的电子在另一端反射出空穴,在超导体中形成库珀对。这是手性边缘态中诱导超导对相关性的显著特征。交叉安德烈耶夫反射过程的特征长度比铌中的超导相干长度要长得多,这表明交叉安德烈耶夫反射确实是由量子反常霍尔绝缘体表面上的超导诱导介导的。我们的研究结果将有助于今后对拓扑超导和马约拉纳物理学的研究,以及对非阿贝尔零模式的探索。
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引用次数: 0
Efficient optimization of deep neural quantum states 深度神经量子态的高效优化
IF 17.6 1区 物理与天体物理 Q1 PHYSICS, MULTIDISCIPLINARY Pub Date : 2024-07-09 DOI: 10.1038/s41567-024-02567-0
An improved optimization algorithm enables the training of large-scale neural quantum states in which the enormous number of neuron connections capture the intricate complexity of quantum many-body wavefunctions. This advance leads to unprecedented accuracy in paradigmatic quantum models, opening up new avenues for simulating and understanding complex quantum phenomena.
改进后的优化算法能够训练大规模神经量子态,其中大量神经元连接捕捉了量子多体波函数的复杂性。这一进步使典型量子模型达到了前所未有的精确度,为模拟和理解复杂量子现象开辟了新途径。
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引用次数: 0
Nonlinear computation with linear systems 线性系统的非线性计算
IF 17.6 1区 物理与天体物理 Q1 PHYSICS, MULTIDISCIPLINARY Pub Date : 2024-07-09 DOI: 10.1038/s41567-024-02531-y
Peter L. McMahon
Nonlinearity is crucial for sophisticated tasks in machine learning but is often difficult to engineer outside of electronics. By encoding the inputs in parameters of the system, linear systems can realize efficiently trainable nonlinear computations.
非线性对于机器学习中的复杂任务至关重要,但通常很难在电子领域之外进行工程设计。通过将输入编码为系统参数,线性系统可以实现高效的可训练非线性计算。
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引用次数: 0
Fully nonlinear neuromorphic computing with linear wave scattering 利用线性波散射的完全非线性神经形态计算
IF 17.6 1区 物理与天体物理 Q1 PHYSICS, MULTIDISCIPLINARY Pub Date : 2024-07-09 DOI: 10.1038/s41567-024-02534-9
Clara C. Wanjura, Florian Marquardt
The increasing size of neural networks for deep learning applications and their energy consumption create a need for alternative neuromorphic approaches, for example, using optics. Current proposals and implementations rely on physical nonlinearities or optoelectronic conversion to realize the required nonlinear activation function. However, there are considerable challenges with these approaches related to power levels, control, energy efficiency and delays. Here we present a scheme for a neuromorphic system that relies on linear wave scattering and yet achieves nonlinear processing with high expressivity. The key idea is to encode the input in physical parameters that affect the scattering processes. Moreover, we show that gradients needed for training can be directly measured in scattering experiments. We propose an implementation using integrated photonics based on racetrack resonators, which achieves high connectivity with a minimal number of waveguide crossings. Our work introduces an easily implementable approach to neuromorphic computing that can be widely applied in existing state-of-the-art scalable platforms, such as optics, microwave and electrical circuits. As the energy consumption of neural networks continues to grow, different approaches to deep learning are needed. A neuromorphic method offering nonlinear computation based on linear wave scattering can be implemented using integrated photonics.
用于深度学习应用的神经网络规模越来越大,能耗也越来越高,因此需要采用其他神经形态方法,例如使用光学方法。目前的建议和实现方法依赖于物理非线性或光电转换来实现所需的非线性激活函数。然而,这些方法在功率水平、控制、能效和延迟方面都面临着相当大的挑战。在这里,我们提出了一种神经形态系统方案,该方案依赖于线性波散射,但却能以高表达能力实现非线性处理。其关键思路是将输入编码为影响散射过程的物理参数。此外,我们还展示了可以在散射实验中直接测量训练所需的梯度。我们提出了一种基于赛道谐振器的集成光子学实现方法,它以最少的波导交叉实现了高连接性。我们的工作为神经形态计算引入了一种易于实现的方法,可广泛应用于现有的最先进的可扩展平台,如光学、微波和电路。
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引用次数: 0
The biophysical basis of bacterial colony growth 细菌菌落生长的生物物理基础
IF 17.6 1区 物理与天体物理 Q1 PHYSICS, MULTIDISCIPLINARY Pub Date : 2024-07-09 DOI: 10.1038/s41567-024-02572-3
Aawaz R. Pokhrel, Gabi Steinbach, Adam Krueger, Thomas C. Day, Julianne Tijani, Pablo Bravo, Siu Lung Ng, Brian K. Hammer, Peter J. Yunker
Bacteria often attach to surfaces and grow densely packed communities called biofilms. As biofilms grow, they expand across the surface, increasing their surface area and access to nutrients. Thus, the overall growth rate of a biofilm is directly dependent on its range expansion rate. A direct trade-off between horizontal and vertical growth impacts the range expansion rate and, crucially, the overall biofilm growth rate. The biophysical connection between horizontal and vertical growth remains poorly understood, in large part due to the difficulty in resolving the biofilm shape with sufficient spatial and temporal resolutions from small length scales to macroscopic sizes. Here we show that the horizontal expansion rate of bacterial colonies is strongly coupled to vertical expansion via the contact angle at the biofilm edge. Using white light interferometry, we measure the three-dimensional surface morphology of growing colonies, and find that small colonies are well described as spherical caps. At later times, nutrient diffusion and uptake prevent the tall colony centre from growing exponentially. We further show that a simple model connecting vertical and horizontal growth dynamics can reproduce the observed phenomena, suggesting that the spherical cap shape emerges due to the biophysical consequences of diffusion-limited growth. The growth of a biofilm—a bacterial colony attached to a surface—is governed by a trade-off between horizontal and vertical expansion. Now, it is shown that this process significantly depends on the contact angle at the biofilm’s edge.
细菌经常附着在物体表面,生长出密集的群落,称为生物膜。随着生物膜的生长,它们会向整个表面扩展,增加表面积和获得养分的机会。因此,生物膜的整体生长速度直接取决于其范围扩张速度。横向生长和纵向生长之间的直接权衡会影响范围扩展率,更重要的是会影响生物膜的整体生长率。人们对水平生长和垂直生长之间的生物物理联系仍然知之甚少,这在很大程度上是由于从小规模长度尺度到宏观尺寸的生物膜形状难以得到足够的空间和时间分辨率。在这里,我们展示了细菌菌落的水平扩展速率通过生物膜边缘的接触角与垂直扩展密切相关。我们利用白光干涉测量法测量了生长中菌落的三维表面形态,发现小菌落可以很好地描述为球形菌盖。后来,营养物质的扩散和吸收阻止了高大菌落中心的指数增长。我们进一步证明,一个连接垂直和水平生长动力学的简单模型可以再现观察到的现象,这表明球形帽形状的出现是由于扩散受限生长的生物物理后果。
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引用次数: 0
Active hydraulics and odd elasticity of muscle fibres 肌肉纤维的主动水力学和奇异弹性
IF 17.6 1区 物理与天体物理 Q1 PHYSICS, MULTIDISCIPLINARY Pub Date : 2024-07-08 DOI: 10.1038/s41567-024-02540-x
Suraj Shankar, L. Mahadevan
Muscle is a complex, hierarchically organized, soft contractile engine. To understand the limits on the rate of contraction and muscle energetics, we construct a coarse-grained multiscale model that describes muscle as an active sponge. Our analysis of existing experiments across species and muscle types highlights the importance of spatially heterogeneous strains and local volumetric deformations. Our minimal theoretical model shows how contractions induce intracellular fluid flow and power active hydraulic oscillations, yielding the limits of ultrafast muscular contractions. We further demonstrate that the viscoelastic response of muscle is naturally non-reciprocal—or odd—owing to its active and anisotropic nature. This enables an alternate mode of muscular power generation from periodic cycles in spatial strain alone, contrasting with previous descriptions based on temporal cycles. Our work suggests a revised view of muscle dynamics that emphasizes the multiscale spatiotemporal origins of soft hydraulic power, with potential implications for physiology, biomechanics and locomotion. A multiscale model of muscle as a fluid-filled sponge suggests that hydraulics limits rapid contractions and that the mechanical response of muscle is non-reciprocal.
肌肉是一种复杂、分层组织的软性收缩引擎。为了了解肌肉收缩速度和肌肉能量的限制,我们构建了一个粗粒度多尺度模型,将肌肉描述为活性海绵。我们对不同物种和肌肉类型的现有实验进行了分析,强调了空间异质应变和局部体积变形的重要性。我们的最小理论模型显示了收缩如何诱导细胞内流体流动并为主动水力振荡提供动力,从而产生超快肌肉收缩的极限。我们进一步证明,肌肉的粘弹性反应天然是非互易的,或者说是奇异的,因为它具有主动性和各向异性。这使我们能够从空间应变的周期性循环中获得另一种肌肉发力模式,与之前基于时间周期的描述形成鲜明对比。我们的研究提出了一种新的肌肉动力学观点,强调软液压动力的多尺度时空起源,对生理学、生物力学和运动学具有潜在影响。
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引用次数: 0
Revealing the complex phases of rhombohedral trilayer graphene 揭示斜方三层石墨烯的复杂相位
IF 17.6 1区 物理与天体物理 Q1 PHYSICS, MULTIDISCIPLINARY Pub Date : 2024-07-08 DOI: 10.1038/s41567-024-02561-6
Rhombohedral graphene is an emerging material with a rich correlated-electron phenomenology, including superconductivity. The magnetism of symmetry-broken trilayer graphene has now been explored, revealing important details of the physics and providing a roadmap for broader explorations of rhombohedral graphene.
斜面石墨烯是一种新兴材料,具有丰富的相关电子现象学,包括超导性。我们现在已经探索了对称性断裂三层石墨烯的磁性,揭示了物理学的重要细节,并为更广泛地探索斜方体石墨烯提供了路线图。
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引用次数: 0
期刊
Nature Physics
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