4772 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 study combines molecular dynamics and first-principles calculations to reveal how oxidation-induced interfacial suboxide chemistry and crystallographic facet orientation collectively govern the strain-dependent bond evolution and electronic property modulation in silicon nanowires.
This study utilizes reactive molecular dynamics simulations to reveal that while shock-induced collapse of pores in polymer-bonded HMX initially generates hotspots, the subsequent chemical transformation of the polystyrene binder into a cross-linked, diamond-like structure acts as a heat sink that suppresses deflagration and inhibits hotspot growth, thereby critically influencing the shock-to-detonation transition.
This paper demonstrates that magnonic Fabry-Pérot resonators, composed of a YIG film coupled with a CoFeB nanostripe, function as programmable phase shifters capable of inducing a controllable phase shift in spin waves through magnetic switching, thereby offering a promising low-loss component for reconfigurable spin-wave computing circuits.
By utilizing freestanding SrTiO membranes to withstand tensile strains exceeding 1%, researchers demonstrated a reversible, strain-induced ferroelectric transition that exhibits a crossover from classical to quantum behavior at low temperatures, thereby enhancing ferroelectricity in this quantum paraelectric material.
This paper introduces Effective Atom Theory (EAT), a framework that embeds discrete atomic identities into a continuous differentiable space to enable gradient-based optimization in DFT and MLIPs, thereby achieving orders-of-magnitude acceleration in materials design tasks such as ground state recovery, phase diagram reconstruction, and high-entropy oxide optimization.
This study establishes a 40-member biphenyl-ester-phenyl matrix to demonstrate how the interplay between lateral fluorination and terminal-group identity can suppress apolar phases while enabling polar nematic behavior, a phenomenon characterized by high-frequency charge-spectral motifs identified through graph Fourier analysis.
By combining structural, magnetic, and neutron scattering measurements, this study reveals that the magnetic ground state of the triangular antiferromagnet NaBaEr(BO) is determined by a competition between strong crystal-field-induced easy-axis anisotropy and dipolar interactions that favor in-plane ordering, ultimately resulting in an unexpected A-type antiferromagnetic structure with moments lying within the $ab$ plane.
This study theoretically demonstrates that the anomalous non-monotonic contact conductance peak in twisted bilayer graphene at approximately 5° arises from the angle-dependent evolution of electronic band structure and van Hove singularities near the Fermi level, rather than from structural relaxation or AA-stacking variations.
This study demonstrates that the alkali rare-earth double phosphates KYb(PO) and KGd(PO), which lack long-range magnetic ordering down to 0.1 K, exhibit distinct adiabatic demagnetization refrigeration capabilities—achieving ultra-low temperatures in the Yb variant and extended hold times in the Gd variant—thereby establishing a chemically robust platform for tuning magnetic entropy and interaction scales to optimize helium-free sub-Kelvin cooling.
CrystalAR introduces a unified autoregressive framework that resolves the tension between flexible symmetry-template exploration and faithful 3D structure realization by reformulating continuous coordinate generation as a hierarchy of discrete spatial decisions, thereby achieving competitive performance in both de novo crystal generation and template-free crystal structure prediction.