LoomRank Weekly · cond-mat.* · Top 20
Week 2, May 2026 | Score range: 79-90 | Candidate pool: 60 papers
01 Physics (20 papers)### 01 Experimental Evidence of Fractional Entropy in Critical Kondo Systems
Why does Fermi liquid theory break down in strongly correlated electron systems? The answer may lie in an exotic quantum state. A new experiment has observed fractional entropy for the first time in a critical Kondo system—direct evidence of non-integer quantum dimension, pointing to the existence of non-Abelian anyons. These quasiparticles can alter the system’s quantum state upon exchange, with a quantum dimension d>1, offering the potential for nonlocal encoding and protected information processing in topological quantum computing. By precisely tuning the strength of electronic correlations, the research team measured entropy values deviating from integer multiples near the quantum critical point. This fractional signature not only challenges the traditional Fermi liquid paradigm but also reveals hidden topological order in strongly correlated systems. The discovery provides crucial experimental support for understanding the physical nature of non-Abelian anyons and paves the way for designing fault-tolerant quantum computing platforms in the future.
LoomRank: 90 | Category: Mesoscale and Nanoscale Physics (cond-mat.mes-hall) | Submitted: 2026-05 | ✓ Reviewed
arXiv:2605.00669
02 Dzyaloshinskii-Moriya interaction as a coherence diagnostic for chirality-induced spin selectivity
How do chiral molecules achieve spin selectivity? At the heart of this puzzle lies a fundamental question: when electrons traverse a chiral molecular bridge, do they undergo coherent spin rotation or incoherent filtering? A new study reveals a key criterion—the Dzyaloshinskii-Moriya interaction, an antisymmetric exchange coupling arising from spin-orbit coupling. The research demonstrates that when superexchange interactions satisfy specific symmetry conditions, coherent CISS (chirality-induced spin selectivity) manifests as unitary spin rotation during electron tunneling; otherwise, the mechanism points toward incoherence. This finding provides a clear diagnostic tool for a long-standing debate in molecular spintronics, deepening our understanding of spin transport in chiral molecules while opening new pathways for designing chirality-based quantum information devices and asymmetric catalytic reactions.
LoomRank: 89 | Category: Mesoscale and Nanoscale Physics (cond-mat.mes-hall) | Submitted: 2026-05 | ✓ Reviewed
arXiv:2605.06008
03 Giant orbital-magnon conversion driven perpendicular magnetization switching
Can orbital angular momentum and magnons communicate directly? A new study provides a definitive yes. Researchers have discovered that in specific heterostructures, orbital currents can be efficiently converted into magnon currents, driving perpendicular magnetization switching—a process that bypasses the conventional spin-orbit coupling pathway. By engineering interfacial symmetry, they achieved a significant enhancement in orbital-to-magnon conversion efficiency, far surpassing previous spin-based mechanisms. This finding not only reveals a long-overlooked direct coupling channel between orbital angular momentum and magnons but also offers a new paradigm for manipulating information carriers beyond Moore’s Law, such as orbital electrons and magnons. In the future, nanodevices based on orbital-magnon conversion could achieve breakthroughs in both energy efficiency and speed.
LoomRank: 87 | Category: Mesoscale and Nanoscale Physics (cond-mat.mes-hall) | Submitted: 2026-05 | ✓ Reviewed
arXiv:2605.04486
04 The unique, universal entropy for complex systems
Who should define entropy for complex systems? For decades, researchers have lacked a critical constraint: entropy must measure uncertainty on an information scale—specifically, at the point where a distribution is maximized with a log-log slope of -1. Building on this, entropy must also satisfy extensivity within the complete universality class defined by Hanel and Thurner. A new study, grounded in axiomatic foundations, demonstrates that coupled entropy—maximized by the coupled stretched exponential distribution—is the only universal entropy function meeting these conditions. This finding not only fills a core gap in the information theory of complex systems but also provides a unified framework for measuring entropy across scales and systems, potentially reshaping our understanding of statistical behavior in complex systems.
LoomRank: 86 | Category: Statistical Mechanics (cond-mat.stat-mech) | Submitted: 2026-05 | ✓ Reviewed
arXiv:2605.04493
05 Spin Elasticity:A New Paradigm for Spintronics
Could elasticity—the universal law that shapes our world—belong only to ordinary matter? A new study reveals its hidden existence within the spin degree of freedom. The authors propose a theoretical framework for “spin elasticity,” linking spin torque to spin morphology to uncover a topological form of Hooke’s law. This framework predicts spontaneous oscillations, resonance phenomena, and an entirely new class of collective excitations: spin stress waves. By establishing a unified τ-D theory, this work elegantly bridges classical elasticity with topological physics, opening a new paradigm for spintronics. This discovery not only expands the conceptual boundaries of elasticity but also holds the potential to inspire novel information carriers and device designs based on spin stress waves.
LoomRank: 86 | Category: Mesoscale and Nanoscale Physics (cond-mat.mes-hall) | Submitted: 2026-05 | ✓ Reviewed
arXiv:2605.09240
06 Pro-Tensor Network
Can tensor networks transcend their role as mere computational tools to become a unified mathematical language for describing many-body theories? A new study introduces “proto-tensor networks”—a categorical reformulation of traditional tensor networks that constructs a rigorous yet intuitive graphical framework for studying “many-many-body theories,” a collection encompassing numerous many-body theories. The authors systematically develop a set of graphical computation tools for proto-tensor networks and demonstrate their power: the renowned Levin-Wen model is reinterpreted as a “uniform” proto-tensor network. More importantly, they generalize the classic results of Kitaev and Kong by characterizing particles as modules over promonads—an abstract formulation that offers a deeper algebraic perspective on quasiparticle excitations in topological order. This work opens a new path for the mathematical foundations of many-body physics.
LoomRank: 85 | Category: Strongly Correlated Electrons (cond-mat.str-el) | Submitted: 2026-05 | ✓ Reviewed
arXiv:2605.06661
07 Quantum Electron Quasicrystal
Strongly correlated phases in the uniform electron gas form the foundational vocabulary of many-body condensed matter physics and are naturally realized in semiconductors. However, a recent calculation using neural-network variational Monte Carlo has uncovered an unexpected quantum state in wide quantum wells: an electronic quasicrystal formed by a 30-degree twist between two layers of Wigner crystals. How does this quantum phase defy classical expectations and emerge under extreme conditions dominated by quantum fluctuations? The study reveals that strong electron correlations, combined with interlayer tunneling effects, drive this non-periodic yet long-range ordered structure. This discovery not only expands our understanding of quantum many-body phases but also opens a new platform for exploring the topological and transport properties of quasicrystals in semiconductor heterostructures, such as dissipationless edge states.
LoomRank: 84 | Category: Strongly Correlated Electrons (cond-mat.str-el) | Submitted: 2026-05 | ✓ Reviewed
arXiv:2605.06302
08 Interparticle Interactions in Nonlocal Media: Attraction and Repulsion from Charge-Polarization Coupling
Why do charged particles in liquids sometimes attract and other times repel each other? Traditional dielectric continuum models appear insufficient to fully explain this phenomenon. A new study has uncovered a key mechanism: the ordered arrangement of solvent molecules at interfaces—termed the “electrosolvation” effect—governs particle interactions through charge-polarization coupling. By combining interface spectroscopy with molecular simulations, the research team discovered that in nonlocal dielectric media, the spatial extent of solvent structuring far exceeds previous expectations, giving rise to tunable long-range attractive or repulsive forces. This finding not only revises classical theoretical frameworks but also offers fresh perspectives for designing microscopic control strategies in fields such as colloidal self-assembly and electrochemical energy storage—where the solvent is no longer a mere background but an active participant.
LoomRank: 84 | Category: Soft Condensed Matter (cond-mat.soft) | Submitted: 2026-05 | ✓ Reviewed
arXiv:2605.09540
09 Activated random walk exhibits self-organized criticality
Why do sandpiles spontaneously organize into a critical state? A seemingly simple random walk model may reveal the mathematical essence of self-organized criticality. The research team focused on the “activated random walk”—a classic model in which particles switch between inert and active states, driven by a fixed energy input—to test whether it satisfies a conjecture proposed by Dickman and others: that the self-organized critical state is equivalent to the critical state in a fixed-energy model. Through rigorous mathematical analysis, they proved for the first time that this model indeed exhibits self-organized criticality, meaning the system spontaneously evolves into a critical state characterized by both power-law distributions and fractal structures, without the need for fine-tuned parameters. This proof not only provides a solid mathematical foundation for understanding widely observed scaling laws in nature—from earthquake frequencies to ecological evolution—but also opens theoretical pathways for designing novel materials or computational systems with self-organizing properties.
LoomRank: 81 | Category: Statistical Mechanics (cond-mat.stat-mech) | Submitted: 2026-05 | ✓ Reviewed
arXiv:2605.00207
10 Voltage-Tunable Nonequilibrium Dispersion Interactions
How can voltage control the “vacuum fluctuations” between nanostructures? A new study, grounded in non-equilibrium Green’s functions, derives a universal expression for the dispersion interaction energy between two open quantum systems driven by a bias voltage, each in a non-equilibrium steady state. The research reveals a key insight: the interaction energy can be decomposed into two components—charge noise, arising from quantum fluctuations, and charge dissipation, directly linked to energy dissipation processes. This decomposition not only clarifies the physical picture but also demonstrates that by tuning the applied voltage, one can actively control van der Waals forces at the nanoscale. The theory provides a new framework for understanding dispersion interactions in non-equilibrium quantum systems and opens pathways for designing voltage-tunable nanomechanical devices and quantum sensors.
LoomRank: 81 | Category: Mesoscale and Nanoscale Physics (cond-mat.mes-hall) | Submitted: 2026-05 | ✓ Reviewed
arXiv:2605.02315
11 Genus-protected higher-order topological phases
In topological insulators, higher-order topological phases are typically thought to rely on lattice symmetries to protect zero-energy modes at boundaries—such as gapless states at crystal corners or edges. But can these boundary modes survive when symmetry is broken? A new study offers a surprising answer: by introducing the global topology of the system’s shape—specifically its “genus,” a topological invariant that counts the number of holes in an object—as a protective mechanism, the authors constructed higher-order topological phases safeguarded solely by the bulk energy gap, fundamental symmetries, and the system’s overall topology. This finding overturns conventional understanding, revealing that the classification of topological phases can transcend the constraints of lattice symmetries. It provides a fresh pathway for realizing robust boundary states in broader and more complex geometries, while also opening avenues for exploring deep connections between topological matter and geometric topology.
LoomRank: 81 | Category: Mesoscale and Nanoscale Physics (cond-mat.mes-hall) | Submitted: 2026-05 | ✓ Reviewed
arXiv:2605.06383
12 Nonlinear Coherent Transport in 2D Thermal Metamaterials: From Solitons and Topological Defects to Quantum Computing
Can heat be “shaped” like light? In low-dimensional materials, the breakdown of Fourier’s law reveals a richer physical picture behind heat transport. This study constructs a unified theoretical framework that combines nonlinear lattice dynamics with soliton effective field theory to systematically analyze the origins of anomalous heat conduction in two-dimensional thermal metamaterials. The research uncovers a key phenomenon: the interaction between solitons and topological defects not only governs the nonlinear coherent transport of heat flow but also enables directional manipulation and localization of heat under specific conditions. This discovery offers a fresh perspective on understanding long-lived coherent excitations in nonequilibrium statistical physics and paves the way for designing novel thermal logic devices, even exploring thermal quantum computing schemes—when heat flow itself becomes a carrier of information, the future of thermal management may undergo a paradigm revolution.
LoomRank: 81 | Category: Mesoscale and Nanoscale Physics (cond-mat.mes-hall) | Submitted: 2026-05 | ✓ Reviewed
arXiv:2605.08162
13 Tracer-free Contactless Acoustic Microrheometry Quantifies Viscoelastic Spectrum of Phase-separated Condensates
How can the viscoelasticity of a tiny droplet be measured without touching it or adding tracer particles? A new study provides an answer: using sound waves. The research team developed a tracer-free, non-contact acoustic microrheology technique that precisely drives a single phase-separated condensate into oscillation with an acoustic field, enabling the first real-time acquisition of its frequency-dependent complex shear modulus—a parameter that directly governs the material’s flow and deformation behavior at the microscale. This method overcomes the limitations of traditional microrheology, where tracer particles may interfere with the sample or mechanical contact can easily damage fragile condensates, offering a new platform for quantitatively characterizing the viscoelastic spectra of liquid-liquid phase separation systems. This breakthrough not only holds promise for designing novel soft materials but also opens an experimental window into understanding the mechanical functions of membrane-less organelles within cells, such as signal transduction and material transport.
LoomRank: 81 | Category: Soft Condensed Matter (cond-mat.soft) | Submitted: 2026-05 | ✓ Reviewed
arXiv:2605.11660
14 A Fully Ab-Initio Spin-Lattice Dynamics Framework for Magnetic Materials
How do magnetism and lattice vibrations evolve together? Traditional approaches often rely on empirical parameters, making it difficult to capture the quantum coupling between them. This study establishes a fully first-principles spin-lattice dynamics framework within VASP, where interatomic forces and effective magnetic fields are computed in real time by self-consistent constrained moment density functional theory at each evolution step, requiring no empirical parameters. The team validated this method on four ferromagnetic materials, successfully reproducing the influence of magnon-phonon coupling on key processes such as magnetization relaxation and thermal transport. This framework not only provides a unified theoretical tool for understanding cooperative spin-lattice dynamics but also opens a direct simulation pathway from microscopic mechanisms for designing novel spintronic materials and optimizing the performance of magnetic memory devices.
LoomRank: 80 | Category: Materials Science (cond-mat.mtrl-sci) | Submitted: 2026-05 | ✓ Reviewed
arXiv:2605.01781
15 Time-boundary scattering and topological resonant transmissions
Can time boundaries—the temporal analogs of spatial interfaces—control the evolution of quantum systems just as spatial boundaries manipulate waves? While the steady-state scattering theory for spatial interfaces is well established, a unified framework for quantum scattering at time boundaries has been lacking. This study introduces a time scattering matrix (S) that connects incident and outgoing Bloch channels, establishing for the first time a Bloch wave scattering theory for time boundaries. A key finding is topological resonance transmission—poles of the (S) matrix—which achieve resonant transmission in the time domain, analogous to spatial interface resonances. These poles carry topological information and dictate the singular behavior of quantum states at time boundaries. This discovery offers a fresh perspective on understanding time crystals and time-modulation effects in quantum simulations, and opens pathways for designing quantum devices based on the time dimension, such as time filters or time switches.
LoomRank: 80 | Category: Mesoscale and Nanoscale Physics (cond-mat.mes-hall) | Submitted: 2026-05 | ✓ Reviewed
arXiv:2605.03325
16 Polarizable atomic multipoles for learning long-range electrostatics
Why is long-range electrostatic interaction so difficult for machine learning interatomic potentials (MLIPs) to accurately capture? The answer may lie in the polarization response of atomic multipole moments. A new study proposes a semi-local framework that learns electrostatic interactions from energies and forces through polarizable atomic multipole moments—including environment-dependent latent monopoles, dipoles, and quadrupoles. The research team uses local equivariant descriptors to predict these multipole moments, while a non-self-consistent method captures residual non-local charge transfer and polarization effects. This strategy bypasses the traditional global iterative solution for long-range electrostatics, significantly improving the accuracy and efficiency of MLIPs in ionic, polar, and interfacial systems. The work provides a key tool for extending machine learning potentials to complex condensed-phase systems, such as electrolyte solutions or ferroelectric materials, and promises to drive a paradigm shift in materials simulation from short-range bonding to full-scale electrostatic description.
LoomRank: 80 | Category: Materials Science (cond-mat.mtrl-sci) | Submitted: 2026-05 | ✓ Reviewed
arXiv:2605.05746
17 Electrically controlled Heat Assisted Magnetic Recording in Intercalated 2D Magnets
As magnetic storage technology approaches its physical limits, how can we overcome the “magnetic recording trilemma”—the trade-off between signal-to-noise ratio, thermal stability, and writability? Heat-assisted magnetic recording (HAMR) has long been considered a leading candidate for high-density storage, but it remains constrained by the energy consumption and precision challenges of optothermal control. A new study takes a different approach, achieving electric-field-controlled heat-assisted magnetic recording in intercalated two-dimensional magnets. By precisely tuning the concentration of interlayer ion intercalation, the research team realized reversible electrical switching of local magnetic anisotropy in atomically thin materials. This process requires no external heating source; instead, an electric field alone triggers the writing and erasing of magnetic domains. Experiments show that this method reduces writing energy consumption by nearly an order of magnitude while maintaining thermal stability. This discovery not only offers a new physical mechanism for breaking the magnetic recording trilemma but also hints at a future paradigm shift in ultra-low-power, ultra-high-density storage devices—from “opto-thermal” to “electro-thermal” operation.
LoomRank: 80 | Category: Mesoscale and Nanoscale Physics (cond-mat.mes-hall) | Submitted: 2026-05 | ✓ Reviewed
arXiv:2605.06645
18 Microscopic evidence for imaginary charge density wave in a kagome metal
Can electric current flow without energy dissipation? Beyond superconductivity and the quantum Hall effect, is there a third possibility? A new study on kagome metals provides direct evidence for a “chiral loop current order”—an exotic electronic state spontaneously formed by microscopic current loops. Using precise scanning tunneling microscopy measurements, the research team observed a peculiar charge density wave on the material’s surface, whose phase exhibits an imaginary component. This imaginary part is a direct manifestation of electrons undergoing “virtual hopping” between lattice sites—a process that does not transport charge but generates local circulating currents. The discovery not only brings the theoretical concept of “imaginary charge density waves” to the experimental forefront but also suggests that kagome metals could serve as an ideal platform for exploring new mechanisms of dissipationless transport, opening up fresh avenues for designing low-energy electronic devices in the future.
LoomRank: 79 | Category: Strongly Correlated Electrons (cond-mat.str-el) | Submitted: 2026-05 | ✓ Reviewed
arXiv:2605.05101
19 Competing nonlinearities, criticality, and order-to-chaos transition in deep networks
What nonlinear mechanism underlies the remarkable expressive power of deep neural networks? A new study introduces statistical mixture activation functions to reveal a phase transition from order to chaos. When each neuron independently and randomly selects one of two activation functions with a mixing ratio (p), the effective field theory of signal propagation exhibits distinct universality classes—this is not a simple linear superposition, but a competition between two nonlinearities that drives the system toward an order-chaos transition near a critical point. By precisely tuning the mixing ratio, the research team observed this phase boundary within an analytically controllable framework and found it closely linked to depth scaling laws. This discovery not only offers a new classification perspective for understanding initialization dynamics in deep networks but also paves a theoretical path for designing architectures with optimal expressivity—poised at the critical edge between order and chaos.
LoomRank: 79 | Category: Disordered Systems and Neural Networks (cond-mat.dis-nn) | Submitted: 2026-05 | ✓ Reviewed
arXiv:2605.05294
20 Topological Characterization of Discrete-Time Classical Stochastic Processes: Dual Role of Point-Gap Topology
Can classical stochastic processes also possess topological structures? A new study reveals a hidden “point-gap topology” in discrete-time Markov chains—a mathematical structure that describes how matrix eigenvalues are distributed across the complex plane. The research team discovered that this topology plays a dual role: when the reference point is chosen at a generic location in the complex plane, it determines the direction of transport in the system; when the reference point is fixed at the origin, nontrivial topology directly points to non-Markovianity—a dynamical behavior where the system’s memory effects cannot be ignored. This finding extends the perspective of topology from quantum systems to classical stochastic processes, offering a new classification framework for understanding the long-term behavior of complex systems and opening up possibilities for designing stochastic networks with specific transport or memory properties.
LoomRank: 79 | Category: Mesoscale and Nanoscale Physics (cond-mat.mes-hall) | Submitted: 2026-05 | ✓ Reviewed
arXiv:2605.07231
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