2439 papers
Explore the fascinating intersection where quantum materials meet the complexity of everyday environments in the Cond-Mat — Mes-Hall section. This field investigates how tiny particles behave when caught between the orderly world of single atoms and the chaotic nature of bulk matter, revealing the hidden rules that govern electricity, magnetism, and heat in novel substances.
Gist.Science brings these cutting-edge discoveries to you directly from arXiv, the leading repository for physics preprints. We process every new submission in this category as soon as it appears, offering both straightforward, plain-language explanations and deep technical summaries to help researchers and curious minds alike grasp the latest breakthroughs without getting lost in dense equations.
Below are the most recent papers in this dynamic area of condensed matter physics, ready for you to explore.
This theoretical study utilizes the modified-Haldane model to analyze the tunable topological magnetotransport and magneto-optical properties of 2D materials like buckled silicene and transition metal dichalcogenides, revealing how electrically driven phase transitions and spin-valley coupling manifest in characteristic Landau level signatures and absorption spectra.
This study demonstrates that germanium/silicon-germanium quantum well heterostructures host high-mobility two-dimensional hole gases capable of exhibiting ballistic conductance quantization with Andreev-enhanced steps and a gate-tunable induced superconducting gap, confirming their viability as a platform for hybrid superconductor-semiconductor quantum devices.
This paper demonstrates that Bose polarons immersed in a Bose-Einstein condensate can exhibit topological properties, including emergent Weyl nodes, nonzero Berry curvature, and chiral anomaly, driven solely by interspecies -wave Feshbach coupling without the need for spin degrees of freedom or spin-orbit coupling.
This study combines micromagnetic simulations and experiments to demonstrate that voltage-controlled magnetic anisotropy (VCMA) dominates the switching field in perpendicular magnetic tunnel junctions with synthetic antiferromagnetic free layers, particularly in high resistance-area devices, while establishing a unified framework for optimizing the performance and scalability of SOT-MRAM technologies by quantifying the distinct roles of VCMA, spin-transfer torque, and Joule heating.
This paper investigates the Su-Schrieffer-Heeger model with staggered nonlinearity, revealing through both semi-analytical and numerical methods that strong nonlinearity induces topological phase transitions and unique spectral features, such as nonlinear Zak phase discontinuities and robust edge states, which highlight the complex interplay between topology and nonlinearity in lattice systems.
This paper establishes that the Kardar-Parisi-Zhang (KPZ) scaling observed in the phase dynamics of polariton condensate arrays originates from fluctuations in Goldstone modes resulting from spontaneous symmetry breaking, thereby linking microscopic system parameters to the coherent properties of emitted light.
This study investigates nonreciprocal spin waves in CoFeB/NiFe bilayers by extending the dynamic matrix formalism to reveal that interlayer exchange interactions, alongside dipolar forces, drive frequency shifts in helical magnetization states, offering tunable sub-100 nm wavelengths for potential magnonic applications.
This paper demonstrates the simultaneous initialization, control, and readout of an 18-qubit modular array in germanium with high-fidelity single-qubit gates and entangling operations, establishing a scalable architecture for utility-scale semiconductor quantum processors.
The paper proposes "FerBo," a novel superconducting qubit that achieves robustness against both relaxation and dephasing by hybridizing fermionic Andreev levels with a bosonic LC circuit mode while leveraging phase-space wavefunction delocalization similar to fluxonium.
This paper proposes a theoretical protocol for reconstructing the full density matrix of a single-electron spin qubit by utilizing spin-polarized transport through ferromagnetic reservoirs to measure tunneling probabilities, which are then processed via machine learning to infer both population and phase information.