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Probing Quantum Materials with Uniaxial Stress Annu. Rev. Condens. Matter Phys. (IF 14.3) Pub Date : 2024-12-03 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
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Experimental Insights into Quantum Spin Ice Physics in Dipole–Octupole Pyrochlore Magnets Annu. Rev. Condens. Matter Phys. (IF 14.3) Pub Date : 2024-12-03 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
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From Fluctuations and Disorder to Scaling and Control: The Emergence of Resistance in Microbial Communities Annu. Rev. Condens. Matter Phys. (IF 14.3) Pub Date : 2024-11-26 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
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Machine Learning for Climate Physics and Simulations Annu. Rev. Condens. Matter Phys. (IF 14.3) Pub Date : 2024-11-26 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
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Activity Unmasks Chirality in Liquid-Crystalline Matter Annu. Rev. Condens. Matter Phys. (IF 14.3) Pub Date : 2024-11-21 Ananyo Maitra
Active matter theories naturally describe the mechanics of living systems. As biological matter is overwhelmingly chiral, an understanding of the implications of chirality for the mechanics and statistical mechanics of active materials is a priority. This article examines active, chiral materials from a liquid-crystal physicist's point of view, extracting general features of broken-symmetry-ordered
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Emergent Simplicities in the Living Histories of Individual Cells Annu. Rev. Condens. Matter Phys. (IF 14.3) Pub Date : 2024-11-15 Charles S. Wright, Kunaal Joshi, Rudro R. Biswas, Srividya Iyer-Biswas
Organisms maintain the status quo, holding key physiological variables constant to within an acceptable tolerance, and yet adapt with precision and plasticity to dynamic changes in externalities. What organizational principles ensure such exquisite yet robust control of systems-level “state variables” in complex systems with an extraordinary number of moving parts and fluctuating variables? Here, we
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High-Order Van Hove Singularities and Their Connection to Flat Bands Annu. Rev. Condens. Matter Phys. (IF 14.3) Pub Date : 2024-11-15 Laura Classen, Joseph J. Betouras
The flattening of single-particle band structures plays an important role in the quest for novel quantum states of matter owing to the crucial role of interactions. Recent advances in theory and experiment made it possible to construct and tune systems with nearly flat bands, ranging from graphene multilayers and moiré materials to kagome metals and ruthenates. Although theoretical models predict exactly
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Transverse Quantum Superfluids Annu. Rev. Condens. Matter Phys. (IF 14.3) Pub Date : 2024-11-13 Anatoly Kuklov, Lode Pollet, Nikolay Prokof’ev, Boris Svistunov
Even when ideal solids are insulating, their states with crystallographic defects may have superfluid properties. It became clear recently that edge dislocations in 4He featuring a combination of microscopic quantum roughness and superfluidity of their cores may represent a new paradigmatic class of quasi-one-dimensional superfluids. The new state of matter, termed transverse quantum fluid (TQF), is
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A Primer on Stochastic Partial Differential Equations with Spatially Correlated Noise Annu. Rev. Condens. Matter Phys. (IF 14.3) Pub Date : 2024-11-11 Katherine A. Newhall
With the growing number of microscale devices from computer memory to microelectromechanical systems, such as lab-on-a-chip biosensors and the increased ability to experimentally measure at the micro- and nanoscale, modeling systems with stochastic processes is a growing need across science. In particular, stochastic partial differential equations (SPDEs) naturally arise from continuum models—for example
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Shaping Capillary Solids From Statics to Dynamics Annu. Rev. Condens. Matter Phys. (IF 14.3) Pub Date : 2024-11-04 S.I. Tamim, J.B. Bostwick
The shape of a soft solid is largely determined by the balance between elastic and surface energies with capillarity becoming important at length scales smaller than the elastocapillary length, which approaches the millimeter scale for the softest hydrogels, leading to many new and surprising phenomena. This review is focused on describing recent experimental and theoretical progress on the deformations
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Progress in Trapped-Ion Quantum Simulation Annu. Rev. Condens. Matter Phys. (IF 14.3) Pub Date : 2024-10-31 Michael Foss-Feig, Guido Pagano, Andrew C. Potter, Norman Y. Yao
Trapped ions offer long coherence times and high fidelity, programmable quantum operations, making them a promising platform for quantum simulation of condensed matter systems, quantum dynamics, and problems related to high-energy physics. We review selected developments in trapped-ion qubits and architectures and discuss quantum simulation applications that utilize these emerging capabilities. This
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Spin-Polarized Antiferromagnetic Metals Annu. Rev. Condens. Matter Phys. (IF 14.3) Pub Date : 2024-10-15 Soho Shim, M. Mehraeen, Joseph Sklenar, Steven S.-L. Zhang, Axel Hoffmann, Nadya Mason
Spin-polarized antiferromagnets have recently gained significant interest because they combine the advantages of both ferromagnets (spin polarization) and antiferromagnets (absence of net magnetization) for spintronics applications. In particular, spin-polarized antiferromagnetic metals can be useful as active spintronics materials because of their high electrical and thermal conductivities and their
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Quantum Liquids: Emergent Higher-Rank Gauge Theory and Fractons Annu. Rev. Condens. Matter Phys. (IF 14.3) Pub Date : 2024-09-17 Yizhi You
Fractons emerge from many-body systems, featuring subdimensional particles with restricted mobility. These particles have attracted interest for their roles across disciplines, including topological quantum codes, quantum field theory, emergent gravity, and quantum information. They display unique nonequilibrium behaviors such as nonergodicity and glassy dynamics. This review offers a structured overview
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Mechanical Memories in Solids, From Disorder to Design Annu. Rev. Condens. Matter Phys. (IF 14.3) Pub Date : 2024-09-16 Joseph D. Paulsen, Nathan C. Keim
Solids are rigid, which means that when left undisturbed, their structures are nearly static. It follows that these structures depend on history—but it is surprising that they hold readable memories of past events. Here, we review the research that has recently flourished around mechanical memory formation, beginning with amorphous solids’ various memories of deformation and mesoscopic models based
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Self-Assembly and Transport Phenomena of Colloids: Confinement and Geometrical Effects Annu. Rev. Condens. Matter Phys. (IF 14.3) Pub Date : 2024-09-13 César O. Solano-Cabrera, Pavel Castro-Villarreal, Rosario E. Moctezuma, Fernando Donado, Jacinta C. Conrad, Ramón Castañeda-Priego
Colloidal dispersions exhibit rich equilibrium and nonequilibrium thermodynamic properties, self-assemble into diverse structures at different length scales, and display transport behavior under bulk conditions. In confinement or under geometrical restrictions, new phenomena emerge that have no counterpart when the colloids are embedded in an open, noncurved space. In this review, we focus on the effects
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Human Rights and Science: Biographical Notes Annu. Rev. Condens. Matter Phys. (IF 14.3) Pub Date : 2024-09-13 Joel L. Lebowitz
I describe some of my activities, academic and personal, since coming to the United States in 1946 at the age of 16. It has been a long journey with many ups and downs. I selectively and briefly describe my experiences in a rabbinical school with an attached (parochial) high school, at Brooklyn College, in graduate school at Syracuse University, during a postdoc with Lars Onsager at Yale University
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Fractional Statistics Annu. Rev. Condens. Matter Phys. (IF 14.3) Pub Date : 2024-03-11 Martin Greiter, Frank Wilczek
The quantum-mechanical description of assemblies of particles whose motion is confined to two (or one) spatial dimensions offers many possibilities that are distinct from bosons and fermions. We call such particles anyons. The simplest anyons are parameterized by an angular phase parameter θ. θ = 0, π correspond to bosons and fermions, respectively; at intermediate values, we say that we have fractional
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The Physics of Animal Behavior: Form, Function, and Interactions Annu. Rev. Condens. Matter Phys. (IF 14.3) Pub Date : 2024-03-11 Calvin A. Riiska, Chantal Nguyen, Orit Peleg, Jennifer M. Rieser
Understanding the physics of behavior in animals is a challenging and fascinating area of research that has gained increasing attention in recent years. In this review, we delve into the intricate temporal and spatial scales of animal behavior for both individuals and collectives. We explore the experimental and theoretical approaches used to study behavior, highlighting the importance of feedback
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Hydrodynamic Electronic Transport Annu. Rev. Condens. Matter Phys. (IF 14.3) Pub Date : 2024-03-11 L. Fritz, T. Scaffidi
The “flow” of electric currents and heat in standard metals is diffusive with electronic motion randomized by impurities. However, for ultraclean metals, electrons can flow like water with their flow being described by the equations of hydrodynamics. While theoretically postulated, this situation was highly elusive for decades. In the past decade, several experimental groups have found strong indications
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Evolution from Bardeen–Cooper–Schrieffer to Bose–Einstein Condensation in Two Dimensions: Crossovers and Topological Quantum Phase Transitions Annu. Rev. Condens. Matter Phys. (IF 14.3) Pub Date : 2024-03-11 C.A.R. Sá de Melo, Senne Van Loon
We review aspects of the evolution from Bardeen–Cooper–Schrieffer (BCS) to Bose–Einstein condensation (BEC) in two dimensions, which have now become relevant in systems with low densities, such as gated superconductors Li xZrNCl, magic-angle twisted trilayer graphene, FeSe, FeSe1− xS x, and ultracold Fermi superfluids. We emphasize the important role played by chemical potentials in determining crossovers
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Droplet Physics and Intracellular Phase Separation Annu. Rev. Condens. Matter Phys. (IF 14.3) Pub Date : 2023-12-07 Frank Jülicher, Christoph A. Weber
Living cells are spatially organized by compartments that can nucleate, grow, and dissolve. Compartmentalization can emerge by phase separation, leading to the formation of droplets in the cell's nucleo- or cytoplasm, also called biomolecular condensates. Such droplets can organize the biochemistry of the cell by providing specific chemical environments in space and time. These compartments provide
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Physarum polycephalum: Smart Network Adaptation Annu. Rev. Condens. Matter Phys. (IF 14.3) Pub Date : 2023-12-07 Mathieu Le Verge-Serandour, Karen Alim
Life evolved organisms to adapt dynamically to their environment and autonomously exhibit behaviors. Although complex behaviors in organisms are typically associated with the capability of neurons to process information, the unicellular organism Physarum polycephalum disabuses us by solving complex tasks despite being just a single although gigantic cell shaped into a mesmerizing tubular network. In
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Experimental Progress in Superconducting Nickelates Annu. Rev. Condens. Matter Phys. (IF 14.3) Pub Date : 2023-12-06 Bai Yang Wang, Kyuho Lee, Berit H. Goodge
The superconducting nickelates were first proposed as potential analogs to the cuprate unconventional superconductors in 1999, but it took twenty years before superconductivity was successfully stabilized in epitaxial thin films. Since then, a flurry of both experimental and theoretical efforts have sought to understand the similarities and differences between the two systems and how they manifest
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The Mobility of Drops, Pearls, and Marbles Annu. Rev. Condens. Matter Phys. (IF 14.3) Pub Date : 2023-12-06 David Quéré
At the scale of drops, water either sticks to inclined solids or moves, yet slowly—without the mobility we expect of a liquid of low viscosity. We first recall that the contact line that bounds a drop is responsible for these special adhesion and enhanced friction properties. Then, we discuss how inducing nonwetting states (pearls and marbles) minimizes the role of this line, restores mobility, and
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Recent Applications of Dynamical Mean-Field Methods Annu. Rev. Condens. Matter Phys. (IF 14.3) Pub Date : 2023-11-21 Leticia F. Cugliandolo
Rich out-of-equilibrium collective dynamics of strongly interacting large assemblies emerge in many areas of science. Some intriguing and not fully understood examples are the glassy arrest in atomic, molecular, or colloidal systems; flocking in natural or artificial active matter; and the organization and subsistence of ecosystems. The learning process, and ensuing amazing performance, of deep neural
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Charge Correlations in Cuprate Superconductors Annu. Rev. Condens. Matter Phys. (IF 14.3) Pub Date : 2023-11-21 Stephen M. Hayden, John M. Tranquada
High-temperature superconductivity, with transition temperatures up to ≈134 K at ambient pressure, occurs in layered cuprate compounds. The conducting CuO2 planes, which are universally present, are responsible for the superconductivity but also show a disposition to other competing states including spin and charge order. Charge-density-wave (CDW) order appears to be a universal property of cuprate
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Superdiffusion from Nonabelian Symmetries in Nearly Integrable Systems Annu. Rev. Condens. Matter Phys. (IF 14.3) Pub Date : 2023-11-21 Sarang Gopalakrishnan, Romain Vasseur
The Heisenberg spin chain is a canonical integrable model. As such, it features stable ballistically propagating quasiparticles, but spin transport is subballistic at any nonzero temperature: An initially localized spin fluctuation spreads in time t to a width t2/3. This exponent as well as the functional form of the dynamical spin correlation function suggest that spin transport is in the Kardar–Parisi–Zhang
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First-Principles Approaches to Magnetoelectric Multiferroics Annu. Rev. Condens. Matter Phys. (IF 14.3) Pub Date : 2023-11-14 Changsong Xu, Hongyu Yu, Junling Wang, Hongjun Xiang
Magnetoelectric multiferroics, which display both ferroelectric and magnetic orders, are appealing because of their rich fundamental physics and promising technological applications. The revival of multiferroics since 2003 led to a comprehensive understanding of the mechanisms that facilitate the coexistence of electric and magnetic orders and conceptually new design strategies for device architectures
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Artificial Muscles for Underwater Soft Robots: Materials and Their Interactions Annu. Rev. Condens. Matter Phys. (IF 14.3) Pub Date : 2023-11-06 Yu Jun Tan, Gianmarco Mengaldo, Cecilia Laschi
Underwater soft robots are typically constructed from soft and flexible materials, which enable them to adapt to aquatic environments where the terrain can be complex. They are often inspired by soft-bodied aquatic animals and can be used for a range of tasks, such as underwater exploration, environmental monitoring, and rescue operations. However, the design of these robots presents significant challenges
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Nonreciprocal Transport and Optical Phenomena in Quantum Materials Annu. Rev. Condens. Matter Phys. (IF 14.3) Pub Date : 2023-10-31 Naoto Nagaosa, Youichi Yanase
In noncentrosymmetric materials, the responses (for example, electrical and optical) generally depend on the direction of the external stimuli, called nonreciprocal phenomena. In quantum materials, these nonreciprocal responses are governed by the quantum geometric properties and symmetries of the electronic states. In particular, spatial inversion ([Formula: see text]) and time-reversal ([Formula:
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“More Is Different” and Sustainable Development Goals: Thermoelectricity Annu. Rev. Condens. Matter Phys. (IF 14.3) Pub Date : 2023-09-22 Hidetoshi Fukuyama
The thermal Green's function formalism bridging between macroscopic observables and microscopic processes via linear response theory was established in the early 1960s, when I started my research career. I recall stimulating experiences with the help of this technique in exploring transport and thermodynamic properties of Bloch electrons in magnetic fields, especially orbital magnetism and the Hall
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An Adventure into the World of Soft Matter Annu. Rev. Condens. Matter Phys. (IF 14.3) Pub Date : 2023-03-10 Dominique Langevin
Soft matter is a field of condensed matter physics that began to develop in France in the 1970s under the impulse of Pierre-Gilles de Gennes. I had the chance to participate in this adventure, and I describe in this article some of the memorable events. Soft matter is not only linked to physics but also to chemistry and biology, and working in this multidisciplinary field is quite stimulating. My particular
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Learning Without Neurons in Physical Systems Annu. Rev. Condens. Matter Phys. (IF 14.3) Pub Date : 2023-03-10 Menachem Stern, Arvind Murugan
Learning is traditionally studied in biological or computational systems. The power of learning frameworks in solving hard inverse problems provides an appealing case for the development of physical learning in which physical systems adopt desirable properties on their own without computational design. It was recently realized that large classes of physical systems can physically learn through local
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Odd Viscosity and Odd Elasticity Annu. Rev. Condens. Matter Phys. (IF 14.3) Pub Date : 2023-03-10 Michel Fruchart, Colin Scheibner, Vincenzo Vitelli
Elasticity typically refers to a material's ability to store energy, whereas viscosity refers to a material's tendency to dissipate it. In this review, we discuss fluids and solids for which this is not the case. These materials display additional linear response coefficients known as odd viscosity and odd elasticity. We first introduce odd viscosity and odd elasticity from a continuum perspective
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Quantum Many-Body Scars: A Quasiparticle Perspective Annu. Rev. Condens. Matter Phys. (IF 14.3) Pub Date : 2022-12-21 Anushya Chandran, Thomas Iadecola, Vedika Khemani, Roderich Moessner
Weakly interacting quasiparticles play a central role in the low-energy description of many phases of quantum matter. At higher energies, however, quasiparticles cease to be well defined in generic many-body systems owing to a proliferation of decay channels. In this review, we discuss the phenomenon of quantum many-body scars, which can give rise to certain species of stable quasiparticles throughout
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Swimming in Complex Fluids Annu. Rev. Condens. Matter Phys. (IF 14.3) Pub Date : 2022-12-16 Saverio E. Spagnolie, Patrick T. Underhill
We review the literature on swimming in complex fluids. A classification is proposed by comparing the length- and timescales of a swimmer with those of nearby obstacles, interpreted broadly, extending from rigid or soft confining boundaries to molecules that confer the bulk fluid with complex stresses. A third dimension in the classification is the concentration of swimmers, which incorporates fluids
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Random Quantum Circuits Annu. Rev. Condens. Matter Phys. (IF 14.3) Pub Date : 2022-12-12 Matthew P.A. Fisher, Vedika Khemani, Adam Nahum, Sagar Vijay
Quantum circuits—built from local unitary gates and local measurements—are a new playground for quantum many-body physics and a tractable setting to explore universal collective phenomena far from equilibrium. These models have shed light on longstanding questions about thermalization and chaos, and on the underlying universal dynamics of quantum information and entanglement. In addition, such models
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Fermiology of Topological Metals Annu. Rev. Condens. Matter Phys. (IF 14.3) Pub Date : 2022-12-09 A. Alexandradinata, Leonid Glazman
The modern scope of fermiology encompasses not just the classical geometry of Fermi surfaces but also the geometry of quantum wave functions over the Fermi surface. This enlarged scope is motivated by the advent of topological metals—metals whose Fermi surfaces are characterized by a robustly nontrivial Berry phase. We review the extent to which topological metals can be diagnosed from magnetic-field-induced
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Physics of Human Crowds Annu. Rev. Condens. Matter Phys. (IF 14.3) Pub Date : 2022-11-30 Alessandro Corbetta, Federico Toschi
Understanding the behavior of human crowds is a key step toward a safer society and more livable cities. Despite the individual variability and will of single individuals, human crowds, from dilute to dense, invariably display a remarkable set of universal features and statistically reproducible behaviors. Here, we review ideas and recent progress in employing the language and tools from physics to
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Data-Driven Discovery of Robust Materials for Photocatalytic Energy Conversion Annu. Rev. Condens. Matter Phys. (IF 14.3) Pub Date : 2022-11-29 Arunima K. Singh, Rachel Gorelik, Tathagata Biswas
The solar–to–chemical energy conversion of Earth-abundant resources like water or greenhouse gas pollutants like CO2 promises an alternate energy source that is clean, renewable, and environmentally friendly. The eventual large-scale application of such photo-based energy conversion devices can be realized through the discovery of novel photocatalytic materials that are efficient, selective, and robust
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Dissecting Flux Balances to Measure Energetic Costs in Cell Biology: Techniques and Challenges Annu. Rev. Condens. Matter Phys. (IF 14.3) Pub Date : 2022-11-22 Easun Arunachalam, William Ireland, Xingbo Yang, Daniel Needleman
Life is a nonequilibrium phenomenon: Metabolism provides a continuous supply of energy that drives nearly all cellular processes. However, very little is known about how much energy different cellular processes use, i.e., their energetic costs. The most direct experimental measurements of these costs involve modulating the activity of cellular processes and determining the resulting changes in energetic
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Tensor Network Algorithms: A Route Map Annu. Rev. Condens. Matter Phys. (IF 14.3) Pub Date : 2022-11-09 Mari Carmen Bañuls
Tensor networks provide extremely powerful tools for the study of complex classical and quantum many-body problems. Over the past two decades, the increment in the number of techniques and applications has been relentless, and especially the last ten years have seen an explosion of new ideas and results that may be overwhelming for the newcomer. This short review introduces the basic ideas, the best
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Spatial and Temporal Organization of Chromatin at Small and Large Scales Annu. Rev. Condens. Matter Phys. (IF 14.3) Pub Date : 2022-11-09 Helmut Schiessel
DNA molecules with a total length of two meters contain the genetic information in every cell in our body. To control access to the genes, to organize its spatial structure in the nucleus, and to duplicate and faithfully separate the genetic material, the cell makes use of sophisticated physical mechanisms. Base pair sequences multiplex various layers of information, chromatin remodelers mobilize nucleosomes
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Superconductivity and Local Inversion-Symmetry Breaking Annu. Rev. Condens. Matter Phys. (IF 14.3) Pub Date : 2022-11-08 Mark H. Fischer, Manfred Sigrist, Daniel F. Agterberg, Youichi Yanase
Inversion and time reversal are essential symmetries for the structure of Cooper pairs in superconductors. The loss of one or both leads to modifications to this structure and can change the properties of the superconducting phases in profound ways. Superconductivity in materials lacking inversion symmetry, or noncentrosymmetric materials, has become an important topic. These materials show unusual
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Spin Seebeck Effect: Sensitive Probe for Elementary Excitation, Spin Correlation, Transport, Magnetic Order, and Domains in Solids Annu. Rev. Condens. Matter Phys. (IF 14.3) Pub Date : 2022-11-01 Takashi Kikkawa, Eiji Saitoh
The spin Seebeck effect (SSE) refers to the generation of a spin current as a result of a temperature gradient in a magnetic material, which can be detected electrically via the inverse spin Hall effect in a metallic contact. Since the discovery of the SSE in 2008, intensive studies on the SSE have been conducted to elucidate its origin. SSEs appear in a wide range of magnetic materials including ferro-
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Non-Hermitian Topological Phenomena: A Review Annu. Rev. Condens. Matter Phys. (IF 14.3) Pub Date : 2022-10-21 Nobuyuki Okuma, Masatoshi Sato
The past decades have witnessed an explosion of interest in topological materials, and a lot of mathematical concepts have been introduced in condensed matter physics. Among them, the bulk-boundary correspondence is the central topic in topological physics, which has inspired researchers to focus on boundary physics. Recently, the concepts of topological phases have been extended to non-Hermitian Hamiltonians
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Modeling Active Colloids: From Active Brownian Particles to Hydrodynamic and Chemical Fields Annu. Rev. Condens. Matter Phys. (IF 14.3) Pub Date : 2022-10-21 Andreas Zöttl, Holger Stark
Active colloids are self-propelled particles moving in viscous fluids by consuming fuel from their surroundings. Here, we review the numerical and theoretical modeling of active colloids propelled by self-generated near-surface flows. We start with the generic model of an active Brownian particle taking into account potential forces and effective pairwise interaction, which include hydrodynamic and
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Generalized Symmetries in Condensed Matter Annu. Rev. Condens. Matter Phys. (IF 14.3) Pub Date : 2022-10-21 John McGreevy
Recent advances in our understanding of symmetry in quantum many-body systems offer the possibility of a generalized Landau paradigm that encompasses all equilibrium phases of matter. This is a brief and elementary review of some of these developments.
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Floquet States in Open Quantum Systems Annu. Rev. Condens. Matter Phys. (IF 14.3) Pub Date : 2022-10-06 Takashi Mori
In Floquet engineering, periodic driving is used to realize novel phases of matter that are inaccessible in thermal equilibrium. For this purpose, the Floquet theory provides us a recipe for obtaining a static effective Hamiltonian. Although many existing works have treated closed systems, it is important to consider the effect of dissipation, which is ubiquitous in nature. Understanding the interplay
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A Journey Through Nonlinear Dynamics: The Case of Temperature Gradients Annu. Rev. Condens. Matter Phys. (IF 14.3) Pub Date : 2022-09-21 Albert Libchaber
The overall effect of temperature gradients is stressed for the Earth's core and surface, but also for the Sun's surface. Using Rayleigh–Bénard convection in helium and mercury, we measured all of the scaling properties of the period-doubling cascade and quasiperiodicity. Hard turbulence scaling properties are presented in an experiment using helium gas at low temperature. A [Formula: see text] scaling
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Coherently Coupled Mixtures of Ultracold Atomic Gases Annu. Rev. Condens. Matter Phys. (IF 14.3) Pub Date : 2022-03-10 Alessio Recati, Sandro Stringari
This article summarizes some of the relevant features exhibited by binary mixtures of Bose–Einstein condensates in the presence of coherent coupling at zero temperature. The coupling, which is experimentally produced by proper photon transitions, can involve either negligible momentum transfer from the electromagnetic radiation (Rabi coupling) or large momentum transfer (Raman coupling) associated
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Studying Quantum Materials with Scanning SQUID Microscopy Annu. Rev. Condens. Matter Phys. (IF 14.3) Pub Date : 2022-03-10 Eylon Persky, Ilya Sochnikov, Beena Kalisky
Electronic correlations give rise to fascinating macroscopic phenomena such as superconductivity, magnetism, and topological phases of matter. Although these phenomena manifest themselves macroscopically, fully understanding the underlying microscopic mechanisms often requires probing on multiple length scales. Spatial modulations on the mesoscopic scale are especially challenging to probe, owing to
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How Cross-Link Numbers Shape the Large-Scale Physics of Cytoskeletal Materials Annu. Rev. Condens. Matter Phys. (IF 14.3) Pub Date : 2022-03-10 Sebastian Fürthauer, Michael J. Shelley
Cytoskeletal networks are the main actuators of cellular mechanics, and a foundational example for active matter physics. In cytoskeletal networks, motion is generated on small scales by filaments that push and pull on each other via molecular-scale motors. These local actuations give rise to large-scale stresses and motion. To understand how microscopic processes can give rise to self-organized behavior
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Modeling of Ferroelectric Oxide Perovskites: From First to Second Principles Annu. Rev. Condens. Matter Phys. (IF 14.3) Pub Date : 2022-03-10 Philippe Ghosez, Javier Junquera
Taking a historical perspective, we provide a brief overview of the first-principles modeling of ferroelectric perovskite oxides over the past 30 years. We emphasize how the work done by a relatively small community on the fundamental understanding of ferroelectricity and related phenomena has been at the origin of consecutive theoretical breakthroughs, with an impact going often well beyond the limit
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Understanding Hydrophobic Effects: Insights from Water Density Fluctuations Annu. Rev. Condens. Matter Phys. (IF 14.3) Pub Date : 2022-03-10 Nicholas B. Rego, Amish J. Patel
The aversion of hydrophobic solutes for water drives diverse interactions and assemblies across materials science, biology, and beyond. Here, we review the theoretical, computational, and experimental developments that underpin a contemporary understanding of hydrophobic effects. We discuss how an understanding of density fluctuations in bulk water can shed light on the fundamental differences in the
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The Hubbard Model: A Computational Perspective Annu. Rev. Condens. Matter Phys. (IF 14.3) Pub Date : 2022-03-10 Mingpu Qin, Thomas Schäfer, Sabine Andergassen, Philippe Corboz, Emanuel Gull
The Hubbard model is the simplest model of interacting fermions on a lattice and is of similar importance to correlated electron physics as the Ising model is to statistical mechanics or the fruit fly to biomedical science. Despite its simplicity, the model exhibits an incredible wealth of phases, phase transitions, and exotic correlation phenomena. Although analytical methods have provided a qualitative
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The Hubbard Model Annu. Rev. Condens. Matter Phys. (IF 14.3) Pub Date : 2022-03-10 Daniel P. Arovas, Erez Berg, Steven A. Kivelson, Srinivas Raghu
The repulsive Hubbard model has been immensely useful in understanding strongly correlated electron systems and serves as the paradigmatic model of the field. Despite its simplicity, it exhibits a strikingly rich phenomenology reminiscent of that observed in quantum materials. Nevertheless, much of its phase diagram remains controversial. Here, we review a subset of what is known about the Hubbard
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Irreversibility and Biased Ensembles in Active Matter: Insights from Stochastic Thermodynamics Annu. Rev. Condens. Matter Phys. (IF 14.3) Pub Date : 2022-03-10 Étienne Fodor, Robert L. Jack, Michael E. Cates
Active systems evade the rules of equilibrium thermodynamics by constantly dissipating energy at the level of their microscopic components. This energy flux stems from the conversion of a fuel, present in the environment, into sustained individual motion. It can lead to collective effects without any equilibrium equivalent, some of which can be rationalized by using equilibrium tools to recapitulate
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Olfactory Sensing and Navigation in Turbulent Environments Annu. Rev. Condens. Matter Phys. (IF 14.3) Pub Date : 2022-03-10 Gautam Reddy, Venkatesh N. Murthy, Massimo Vergassola
Fluid turbulence is a double-edged sword for the navigation of macroscopic animals, such as birds, insects, and rodents. On the one hand, turbulence enables pheromone communication among mates and the possibility of locating food by their odors from long distances. Molecular diffusion would indeed be unable to spread odors over relevant distances in natural conditions. On the other hand, turbulent
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Topological Magnons: A Review Annu. Rev. Condens. Matter Phys. (IF 14.3) Pub Date : 2022-03-10 Paul A. McClarty
At sufficiently low temperatures, magnetic materials often enter correlated phases hosting collective, coherent magnetic excitations such as magnons or triplons. Drawing on the enormous progress on topological materials of the past few years, recent research has led to new insights into the geometry and topology of these magnetic excitations. Berry phases associated with magnetic dynamics can lead