3525 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 demonstrates that Förster resonance energy transfer from ReS2 to 2L-MoSe2/perovskite heterostructures significantly enhances the emission efficiency of momentum-indirect interlayer excitons while imprinting ReS2's optical anisotropy, thereby enabling high-performance polarization-sensitive optoelectronic devices in indirect bandgap systems.
This study reveals that the migration behavior of unfaulted disconnections on curved twin boundaries bifurcates into two distinct modes—thermally activated, temperature-dependent double-kink glide for pure edge cores versus low-barrier, stochastic bidirectional motion for screw-dipole-containing cores—demonstrating that core structure fundamentally dictates twin boundary kinetics.
This study demonstrates that controlled lead (Pb) doping in Ge2Sb2Te5 films lowers crystallization transition temperatures and enhances thermoelectric performance, achieving a maximum power factor of 1.3 at 633 K for 2.5 at.% Pb, thereby highlighting its potential for combined phase-change memory and thermoelectric applications.
This paper proposes and validates via first-principles calculations that in-plane uniaxial strain can distinguish between apparent and hidden altermagnetism in the family by inducing a significant net magnetic moment (piezomagnetic effect) in the former while maintaining zero net moment in the latter, offering an experimentally feasible strategy for identification.
This paper introduces a DFT-assisted framework for quantitatively interpreting Cu K-edge XANES spectra to precisely determine the oxidation state, coordination geometry, and hydration environment of single-atom catalysts, thereby establishing a robust method for linking spectral signatures to atomic-scale structural features to guide rational catalyst design.
This paper introduces Pulsed Laser Template Engineering (PLATEN), a novel patterning technique that utilizes the forward-directed nature of Pulsed Laser Deposition to replicate high-aspect-ratio silicon templates into functional oxide thin films, enabling the fabrication of active optoelectronic materials that are difficult to etch using conventional methods.
This study demonstrates that high-quality, isotopically pure CeO2 thin films grown by pulsed laser deposition serve as an effective host for quantum applications, exhibiting significantly longer photoluminescence lifetimes for Er-doped samples compared to Tm-doped ones due to the latter's non-radiative recombination pathways caused by strong O 2p and Tm 4f orbital overlap.
This study demonstrates that cerium-doped oxyfluoride glasses incorporating up to 80 wt% recycled solar panel glass exhibit promising optical properties and altered crystallization behaviors, including the suppression of xonotlite formation, making them viable candidates for optical applications.
This study reveals that the altermagnet CrSb hosts flat-band-driven competing charge and spin instabilities, where short-range charge fluctuations collapse upon magnetic ordering to trigger a record-breaking spin-phonon coupling and a pronounced phonon anomaly at the Néel temperature.
This paper demonstrates that machine-learned Moment Tensor Potentials trained on density functional theory data provide an accurate and efficient computational alternative to expensive experiments for predicting the structural, thermodynamic, and transport properties of molten Ca-Cu alloys and CaCl-KCl electrolytes essential for calcium production.