4173 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 reports the experimental and theoretical investigation of the quaternary Heusler alloy CoRuTiGe, which exhibits a tetragonal ferromagnetic structure and spin gapless semiconductor behavior, suggesting its significant potential for spintronic applications.
This study proposes and demonstrates via first-principles calculations and simulations that lithium decoration of monolayer FeGeTe induces a large Dzyaloshinskii-Moriya interaction, enabling the formation of nanoscale skyrmions with exceptionally high energy barriers and lifetimes exceeding one hour at temperatures up to 75 K.
Through first-principles calculations, this study reveals that the magnetic exchange interactions in kagome antiferromagnets FeGe and FeSn arise from a competition between direct ferromagnetic and RKKY antiferromagnetic couplings, where stronger direct interactions in FeGe yield a higher Néel temperature and both materials exhibit a linear dependence of exchange energy on Fe-Fe bond length, suggesting that compressive strain can significantly enhance their magnetic ordering temperatures.
This study investigates the size-dependent transformation patterns in superelastic NiTi tubes under tension and bending using high-resolution stereo digital image correlation and gradient-enhanced modeling, revealing that the outer diameter and wall-thickness ratio govern the morphology of martensite bands through the competition between bulk and interfacial energies.
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.