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Collective Charge Excitations Studied by Electron Energy-Loss Spectroscopy 通过电子能量损失光谱研究集体电荷激发
IF 22.6 1区 物理与天体物理 Q1 PHYSICS, CONDENSED MATTER Pub Date : 2025-03-10 DOI: 10.1146/annurev-conmatphys-032822-044125
Peter Abbamonte, Jörg Fink
The dynamic charge susceptibility, χ(q, ω), is a fundamental observable of all materials, in one, two, and three dimensions, quantifying the collective charge modes and the ability of a material to screen charge, as well as its electronic compressibility. Here, we review the current state of efforts to measure the charge susceptibility of quantum materials using inelastic electron scattering, which historically has been called electron energy-loss spectroscopy (EELS). We focus on comparison between transmission (T-EELS) and reflection (R-EELS) geometries as applied to a selection of three-dimensional and quasi-two-dimensional conductors. Although a great deal is understood about simple metals, measurements of more strongly interacting and strange metals are currently conflicting, with different groups obtaining fundamentally contradictory results, emphasizing the importance of improved EELS measurements. Furthermore, current opportunities for improvement in EELS techniques are vast, with the most promising future development being in hemispherical and time-of-flight analyzers, as well as scanning transmission electron microscope instruments configured for high-momentum resolution. We conclude that, despite more than half a century of work, EELS techniques are currently still in their infancy.
动态电荷磁化率χ(q, ω)是所有材料在一维、二维和三维上的基本观测值,它量化了集体电荷模式和材料屏蔽电荷的能力,以及它的电子压缩性。在这里,我们回顾了使用非弹性电子散射来测量量子材料的电荷磁化率的现状,这种方法在历史上被称为电子能量损失谱(EELS)。我们重点比较了透射(T-EELS)和反射(R-EELS)几何形状在三维和准二维导体中的应用。虽然对简单金属的了解很多,但目前对相互作用更强的金属和奇怪金属的测量存在冲突,不同的研究小组得到了根本矛盾的结果,这强调了改进EELS测量的重要性。此外,目前EELS技术的改进机会是巨大的,最有希望的未来发展是半球形和飞行时间分析仪,以及配置为高动量分辨率的扫描透射电子显微镜仪器。我们的结论是,尽管经过了半个多世纪的努力,EELS技术目前仍处于起步阶段。
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引用次数: 0
Assembly of Complex Colloidal Systems Using DNA 利用DNA组装复杂胶体系统
IF 22.6 1区 物理与天体物理 Q1 PHYSICS, CONDENSED MATTER Pub Date : 2025-03-10 DOI: 10.1146/annurev-conmatphys-032922-113138
William M. Jacobs, W. Benjamin Rogers
Nearly thirty years after its inception, the field of DNA-programmed colloidal self-assembly has begun to realize its initial promise. In this review, we summarize recent developments in designing effective interactions and understanding the dynamic self-assembly pathways of DNA-coated nanoparticles and microparticles, as well as how these advances have propelled tremendous progress in crystal engineering. We also highlight exciting new directions showing that new classes of subunits combining nanoparticles with DNA origami can be used to engineer novel multicomponent assemblies, including structures with self-limiting, finite sizes. We conclude by providing an outlook on how recent theoretical advances focusing on the kinetics of self-assembly could usher in new materials-design opportunities, like the possibility of retrieving multiple distinct target structures from a single suspension or accessing new classes of materials that are stabilized by energy dissipation, mimicking self-assembly in living systems.
近三十年来,dna编程胶体自组装领域已经开始实现其最初的希望。在这篇综述中,我们总结了最近在设计有效的相互作用和理解dna包被纳米颗粒和微粒的动态自组装途径方面的进展,以及这些进展如何推动晶体工程的巨大进展。我们还强调了令人兴奋的新方向,表明结合纳米颗粒和DNA折纸的新型亚基可以用于设计新的多组分组件,包括具有自我限制的有限尺寸的结构。最后,我们展望了关注自组装动力学的最新理论进展如何带来新的材料设计机会,例如从单个悬浮液中检索多个不同目标结构的可能性,或者通过能量耗散来稳定的新型材料,模拟生命系统中的自组装。
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引用次数: 0
60+ Years of Meandering in Condensed Matter Physics 凝聚态物理学60多年的曲折历程
IF 22.6 1区 物理与天体物理 Q1 PHYSICS, CONDENSED MATTER Pub Date : 2025-03-10 DOI: 10.1146/annurev-conmatphys-042424-052213
P. Pincus
This article is the result of a transcribed recording of an interview that Ram Seshadri [Materials and Chemistry, University of California, Santa Barbara (UCSB)] conducted with Fyl Pincus who recently retired from UCSB (Physics and Materials). Its focus is an autobiographical account of Fyl's academic career and includes a personal view of the early days of soft condensed matter as a subdiscipline of physics.
本文是Ram Seshadri[加州大学圣巴巴拉分校(UCSB)材料与化学]对最近从UCSB(物理与材料)退休的Fyl Pincus的采访记录。它的重点是对菲尔学术生涯的自传式描述,包括对早期软凝聚态物质作为物理学分支学科的个人看法。
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引用次数: 0
What Is the Turbulence Problem, and When May We Regard It as Solved? 什么是湍流问题,我们什么时候可以认为它已经解决了?
IF 22.6 1区 物理与天体物理 Q1 PHYSICS, CONDENSED MATTER Pub Date : 2025-03-10 DOI: 10.1146/annurev-conmatphys-031620-095842
Katepalli R. Sreenivasan, Jörg Schumacher
Turbulent motion of fluids is often thought of as a grand problem, but what exactly is this “turbulence problem”? Because it has often been proclaimed as very difficult and unsolved, when can we claim that it is solved? How does this situation in turbulence compare with other complex problems in physical sciences? Addressing these questions is not trivial because everyone has their favorite idea of what is required of the “solution.” The answers range from being able to calculate the pressure drop in turbulent pipe flow to being able to calculate anomalous scaling exponents to answering the regularity problem of the Navier–Stokes equations. Taking an absolute position on the basis of any of these, or other similar examples, is incomplete at best and potentially erroneous at worst. We believe that it is beneficial to have an open discussion of this topic for the advancement of the research agenda in turbulence. This article is an attempt to address the question of what constitutes the turbulence problem, its place in the scientific enterprise as a whole, and how and when one may declare it as solved.
流体的湍流运动通常被认为是一个大问题,但这个“湍流问题”究竟是什么?因为它经常被宣布为非常困难和未解决的问题,我们什么时候才能声称它已得到解决?湍流中的这种情况与物理科学中的其他复杂问题相比如何?解决这些问题并非无关紧要,因为每个人都有自己最喜欢的“解决方案”所需的想法。答案从能够计算湍流管道流中的压降到能够计算异常标度指数,再到能够回答Navier-Stokes方程的正则性问题。在这些例子或其他类似例子的基础上采取绝对立场,往好了说是不完整的,往坏了说可能是错误的。我们认为,对这一主题进行公开讨论有利于推进湍流研究议程。本文试图阐述湍流问题的构成,它在整个科学事业中的地位,以及如何以及何时可以宣布它已经解决。
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引用次数: 0
Feedback Control of Active Matter 活性物质的反馈控制
IF 22.6 1区 物理与天体物理 Q1 PHYSICS, CONDENSED MATTER Pub Date : 2025-03-10 DOI: 10.1146/annurev-conmatphys-042424-043926
Sho C. Takatori, Titus Quah, James B. Rawlings
Feedback control is essential to the performance of dynamical systems, helping to drive nonequilibrium systems from one state to another. In this review, we discuss feedback control applied to living and synthetic active matter—systems that are constantly dynamical and out of equilibrium. We review the experimental and theoretical work in controlling the trajectory and distribution of active matter, from single particles to collective populations. Modern advances in microscopy and numerical computation have enabled data-rich studies of active systems, aided by data-driven approaches to model, forecast, and control the complex and chaotic behaviors of active matter. We describe the basic mathematical structure of active Brownian particles, with a focus on observability and time delay embedding to control particle motion using density data alone. Finally, we comment on the future outlook of controlling complex systems with multibody interparticle and hydrodynamic interactions.
反馈控制对动力系统的性能至关重要,它有助于将非平衡系统从一个状态驱动到另一个状态。在这篇综述中,我们讨论了反馈控制在生物和合成活性物质系统中的应用,这些系统是不断动态和不平衡的。我们回顾了在控制活性物质的轨迹和分布方面的实验和理论工作,从单个粒子到集体种群。现代显微镜技术和数值计算技术的进步使得对有源系统进行数据丰富的研究成为可能,并借助数据驱动的方法对有源物质的复杂和混沌行为进行建模、预测和控制。我们描述了活跃布朗粒子的基本数学结构,重点关注可观测性和时间延迟嵌入,以单独使用密度数据来控制粒子运动。最后,对具有多体质点间和流体动力相互作用的复杂系统的控制前景进行了展望。
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引用次数: 0
Muon Studies of Superconductors 超导体的介子研究
IF 22.6 1区 物理与天体物理 Q1 PHYSICS, CONDENSED MATTER Pub Date : 2025-03-10 DOI: 10.1146/annurev-conmatphys-032922-095149
Stephen J. Blundell
Understanding superconductivity in its myriad forms arising in numerous different crystal architectures is one of the major quests of modern condensed matter physics. One promising avenue to gain local information about novel superconductors is the use of local probes to measure properties inside the unit cell. The application of muon spin spectroscopy to the study of various superconducting materials is reviewed. These experiments can be carried out as a function of temperature, magnetic field, and pressure and even in thin-film samples. They provide information about proximal magnetic phases and the nature of the superconducting state, as well as giving intriguing evidence of time-reversal symmetry breaking. To properly interpret the experimental results, it is necessary to have reliable information about the site of the implanted muon, as well as its stability. This can now be provided using density functional theory techniques.
理解在许多不同晶体结构中产生的无数形式的超导性是现代凝聚态物理学的主要任务之一。获得新型超导体局部信息的一个有希望的途径是使用局部探针来测量单元胞内部的特性。综述了介子自旋光谱在各种超导材料研究中的应用。这些实验可以作为温度、磁场和压力的函数进行,甚至可以在薄膜样品中进行。它们提供了有关近磁相和超导态性质的信息,并提供了时间反转对称性破缺的有趣证据。为了正确地解释实验结果,必须有关于植入μ子位置及其稳定性的可靠信息。现在可以使用密度泛函理论技术来提供这一点。
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引用次数: 0
Probing Quantum Materials with Uniaxial Stress 单轴应力探测量子材料
IF 22.6 1区 物理与天体物理 Q1 PHYSICS, CONDENSED MATTER Pub Date : 2024-12-03 DOI: 10.1146/annurev-conmatphys-040521-041041
Clifford W. Hicks, Fabian Jerzembeck, Hilary M.L. Noad, Mark E. Barber, Andrew P. Mackenzie
Over the past approximately 10 years, it has become routine to use piezoelectric actuators to apply large anisotropic stresses to correlated electron materials. Elastic strains exceeding 1% can often be achieved, which is sufficient to qualitatively alter the magnetic and/or electronic structures of a wide range of correlated electron materials. Experiments fall into two broad groups. In one, explicit use is made of the capacity of anisotropic stress to reduce the point group symmetry of the lattice, for example, from tetragonal to orthorhombic. In the other, anisotropic stress is used as a more general, powerful tuning method that, within the elastic limit of the material under test, does not introduce disorder. In this review, we provide a brief recent history of strain tuning, describe current methodology, provide selected examples of the types of experiment that have been done, and discuss the thermodynamics of uniaxial stress.
近十年来,利用压电致动器对相关电子材料施加大的各向异性应力已成为常规。通常可以实现超过1%的弹性应变,这足以定性地改变各种相关电子材料的磁性和/或电子结构。实验可分为两大类。在一种方法中,明确地利用各向异性应力的能力来降低晶格的点群对称性,例如,从四边形到正交态。另一方面,各向异性应力被用作一种更普遍、更强大的调谐方法,在被测材料的弹性极限内,不会引入无序。在这篇综述中,我们简要介绍了应变调谐的近期历史,描述了当前的方法,提供了已经完成的实验类型的选择示例,并讨论了单轴应力的热力学。
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引用次数: 0
Experimental Insights into Quantum Spin Ice Physics in Dipole–Octupole Pyrochlore Magnets 偶极-八极火绿石磁体中量子自旋冰物理的实验见解
IF 22.6 1区 物理与天体物理 Q1 PHYSICS, CONDENSED MATTER Pub Date : 2024-12-03 DOI: 10.1146/annurev-conmatphys-041124-015101
Evan M. Smith, Elsa Lhotel, Sylvain Petit, Bruce D. Gaulin
We review a key subset of the experimental studies that have recently focused on cubic pyrochlore magnets whose pseudospin-1 $/$ 2 degrees of freedom have mixed dipolar and octupolar character. We discuss how this comes about and how the character of the pseudospin-1 $/$ 2 can be experimentally determined. The minimal spin Hamiltonian for such magnetic insulators is known to give rise to a rich phase diagram with both disordered U(1) quantum spin ice (QSI) states and all-in–all-out (AIAO) noncollinear ordered states, each with dipolar and octupolar character. We focus primarily on experimental studies on two such single crystal systems, the $TimesFont{J}$ = 5 $/$ 2 Ce2Zr2O7 and the $TimesFont{J}$ = 9 $/$ 2 Nd2Zr2O7. We make the case that Ce2Zr2O7 is an excellent QSI ground-state candidate material, close to the border between QSIs with dipolar and octupolar symmetry. Nd2Zr2O7 exhibits an AIAO ordered phase, featuring an order parameter consisting of dipolar and octupolar magnetic moments. It is found to reside close to a QSI phase boundary and features dynamic fragmentation in its excitation spectrum.
我们回顾了最近集中在赝自旋为1 / 2自由度具有混合偶极和八极特征的立方焦绿石磁体的实验研究的一个关键子集。我们讨论了这是如何产生的,以及如何通过实验确定假自旋-1 $/$ 2的性质。已知这种磁绝缘体的最小自旋哈密顿量产生了一个丰富的相图,其中既有无序U(1)量子自旋冰(QSI)态,也有全中全(AIAO)非线性有序态,每个态都具有偶极和八极特征。本文主要对$TimesFont{J}$ = 5 $/$ 2 Ce2Zr2O7和$TimesFont{J}$ = 9 $/$ 2 Nd2Zr2O7这两种单晶体系进行了实验研究。我们认为Ce2Zr2O7是一种优秀的QSI基态候选材料,接近具有偶极对称和八极对称的QSI边界。Nd2Zr2O7表现出AIAO有序相,其有序参数由偶极和八极磁矩组成。发现它位于QSI相边界附近,其激发谱具有动态破碎特征。
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引用次数: 0
From Fluctuations and Disorder to Scaling and Control: The Emergence of Resistance in Microbial Communities 从波动与混乱到规模与控制:微生物群落中抗药性的出现
IF 22.6 1区 物理与天体物理 Q1 PHYSICS, CONDENSED MATTER Pub Date : 2024-11-26 DOI: 10.1146/annurev-conmatphys-042924-110923
Jacob Moran, Kevin B. Wood
Antibiotics are a cornerstone of modern medicine, and antibiotic resistance is a growing threat to public health. The evolution of resistance is a multiscale process shaped by many of the same phenomena that have fascinated condensed matter physicists for decades: fluctuations, disorder, scaling, and the emergence of structure from local heterogeneous interactions. In this review, we offer a brief introduction to antibiotic resistance through the lens of these shared cross-disciplinary themes. We highlight conceptual connections shared across disciplines and aim to inspire continued investigation of this complex and important biomedical problem.
抗生素是现代医学的基石,而抗生素耐药性对公共健康的威胁与日俱增。抗药性的演变是一个多尺度过程,其形成过程与几十年来吸引凝聚态物理学家的许多现象相同:波动、无序、缩放以及从局部异质相互作用中产生结构。在这篇综述中,我们将从这些共同的跨学科主题的角度简要介绍抗生素耐药性。我们强调跨学科的共同概念联系,旨在激发人们继续研究这一复杂而重要的生物医学问题。
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引用次数: 0
Machine Learning for Climate Physics and Simulations 气候物理学和模拟的机器学习
IF 22.6 1区 物理与天体物理 Q1 PHYSICS, CONDENSED MATTER Pub Date : 2024-11-26 DOI: 10.1146/annurev-conmatphys-043024-114758
Ching-Yao Lai, Pedram Hassanzadeh, Aditi Sheshadri, Maike Sonnewald, Raffaele Ferrari, Venkatramani Balaji
We discuss the emerging advances and opportunities at the intersection of machine learning (ML) and climate physics, highlighting the use of ML techniques, including supervised, unsupervised, and equation discovery, to accelerate climate knowledge discoveries and simulations. We delineate two distinct yet complementary aspects: (a) ML for climate physics and (b) ML for climate simulations. Although physics-free ML-based models, such as ML-based weather forecasting, have demonstrated success when data are abundant and stationary, the physics knowledge and interpretability of ML models become crucial in the small-data/nonstationary regime to ensure generalizability. Given the absence of observations, the long-term future climate falls into the small-data regime. Therefore, ML for climate physics holds a critical role in addressing the challenges of ML for climate simulations. We emphasize the need for collaboration among climate physics, ML theory, and numerical analysis to achieve reliable ML-based models for climate applications.
我们讨论了机器学习(ML)与气候物理学交叉领域的新进展和新机遇,重点介绍了如何利用 ML 技术(包括有监督、无监督和方程发现)来加速气候知识的发现和模拟。我们划分了两个不同但互补的方面:(a)用于气候物理学的 ML 和(b)用于气候模拟的 ML。虽然基于 ML 的无物理模型(如基于 ML 的天气预报)在数据丰富且稳定的情况下取得了成功,但在数据较少/非稳定的情况下,ML 模型的物理知识和可解释性对确保普适性至关重要。由于缺乏观测数据,未来长期气候属于小数据机制。因此,气候物理学的 ML 在应对气候模拟的 ML 挑战方面发挥着至关重要的作用。我们强调需要气候物理学、ML 理论和数值分析之间的合作,以实现可靠的基于 ML 的气候应用模型。
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引用次数: 0
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Annual Review of Condensed Matter Physics
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