2794 papers
Condensed matter physics and materials science form a dynamic partnership, exploring how the collective behavior of atoms gives rise to the unique properties of solids and liquids. This field bridges the gap between fundamental quantum mechanics and the practical engineering of everything from flexible electronics to superconductors, turning abstract theories into tangible innovations that shape our daily lives.
At Gist.Science, we process every new preprint in this category directly from arXiv to make these complex discoveries accessible to everyone. Our team generates both plain-language overviews and detailed technical summaries for each paper, ensuring that researchers, students, and curious minds alike can grasp the latest breakthroughs without getting lost in dense jargon.
Below are the latest papers in condensed matter and materials science, organized by their most recent publication dates.
This paper introduces the FIRE-Swap first-principles framework, which utilizes machine-learning interatomic potentials to reveal that lead magnesium niobate (PMN) possesses a unique rock-salt-like chemical order and interconnected polar nanoregions within Nb clusters, providing a mesoscale explanation for its relaxor ferroelectricity that distinguishes it from PZT and PST.
This study reveals that the complex optical fine structure of the 2D magnet CrPS4 arises primarily from exchange-mediated coupling between on-site spin-flip transitions and lattice magnons, leading to well-resolved magnon sidebands and sub-picosecond energy migration that offers new avenues for optically controlling spin-wave excitations in van der Waals magnets.
This study develops a DFT-accurate machine-learned potential and utilizes deep potential molecular dynamics with slow quench rates and extended geometry descriptors to successfully generate BO glass models containing over 30% boroxol rings, revealing that the energy-minimized boroxol fraction of 75% closely matches experimental estimates.
This study predicts that twisting bilayer 1T-HfO2 induces robust, switchable out-of-plane ferroelectricity with a low energy barrier, offering a scalable 2D platform for next-generation memory and logic devices.
This paper introduces rigorous metrics to analyze how unconstrained machine learning models learn physical symmetries, demonstrating that strategically injecting minimal inductive biases can achieve superior stability and accuracy while preserving the scalability of unconstrained architectures.
This paper proposes that a finite-momentum pair-density-wave (PDW) state in magic-angle twisted bilayer graphene reconciles observed tunneling signatures with low-temperature superfluid stiffness suppression by generating Bogoliubov Fermi surfaces, thereby establishing a direct experimental link between zero-bias conductance and phase rigidity.
This study utilizes millisecond-speed liquid cell electron microscopy combined with deep-learning denoising to directly visualize reversible, environment-dependent atomic fluctuations in gold nanocrystals, revealing how transient nanoscale dynamics govern their stability and reactivity in liquid environments.
This study utilizes a deep-learning potential validated by experiments to reveal that polyacrylonitrile facilitates concerted electron-ion transport through a rapid, Li+-coupled sequential ring-formation mechanism triggered by a nucleophile-initiated cyclization rate-limiting step.
This study demonstrates that while quantum effects significantly influence hydrogen permeation through graphdiyne membranes, classical molecular dynamics simulations combined with Feynman-Hibbs corrections can reliably bound these results, provided that the crucial thermal motion of the membrane is included to accurately capture the reduction in permeation barriers.
This study demonstrates that breaking inversion symmetry in centrosymmetric bilayer BiSe via twisting, point-defect insertion, or external electric fields unlocks strong, broadband nonlinear optical responses comparable to benchmark 2D materials, thereby enabling efficient THz applications and next-generation 2D photovoltaics.