3501 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 demonstrates that neural network classifiers trained on diverse force fields and descriptors can accurately and agnostically identify Zeolitic Imidazolate Framework (ZIF) polymorphs during molecular dynamics simulations, thereby enabling the detailed mechanistic study of phase transitions like ZIF-4-cp to ZIF-4-cp-II.
By combining X-ray diffraction with theoretical calculations, researchers discovered that high pressure induces a structural transformation in K2Zn(IO3)4.2H2O where iodine hypercoordination converts isolated IO3 units into an infinite 2D network of IO6 octahedra, significantly enhancing compressibility and reducing the band-gap energy from 4.2 eV to 3.4 eV.
This paper theoretically demonstrates that isolated and clustered asymmetric antibimerons in ultrathin ferromagnetic films support topology-constrained collective spin-wave modes that split into N-fold multiplets in clusters, establishing them as a tunable platform for programmable spin-wave nano-oscillators.
This study utilizes high-pressure neutron diffraction to demonstrate that while pressures up to 8.7 GPa induce a 5% volume contraction in FeWO₄, they preserve its magnetic space group while only slightly altering the magnetic moment orientation and Néel temperature.
First-principles calculations reveal that silver niobate's true thermodynamic ground state is a previously overlooked, chiral rhombohedral ferroelectric phase with symmetry, which exhibits significant natural optical activity and may explain the ongoing controversy regarding its low-temperature structure due to kinetic limitations hindering its experimental observation.
This study utilizes a high-throughput combinatorial approach to map the phase equilibria of the Al-Ti-Nb-Zr-Ta refractory alloy system, identifying BCC, B2, and secondary phases while highlighting systematic deviations between experimental results and CALPHAD predictions.
This paper presents a consistently parameterized electrochemical-thermal-degradation model using PyBaMM to predict the capacity fade, state-of-health, and remaining useful life of NMC lithium-ion cells under 81 distinct calendar and cyclic ageing conditions, thereby providing mechanistic insights into the competing effects of solid-electrolyte interphase growth, lithium plating, and active material loss.
This study combines experimental characterization and first-principles calculations to identify the most favorable half-Heusler structure of synthesized TiCoSb alloy and evaluate its thermoelectric properties.
This first-principles study demonstrates that Ti-doping of MgB2H8 significantly improves its hydrogen storage performance by reducing desorption enthalpy and diffusion barriers while maintaining structural stability, thereby balancing thermodynamics and kinetics for practical solid-state applications.
This study utilizes a kinetic model with full Boltzmann collision integrals to demonstrate that both electron-electron and electron-phonon scattering can independently thermalize photoexcited hot electrons via distinct trajectories, revealing that their contributions become comparable at weak excitation strengths and offering a comprehensive framework for predicting thermalization times across a wide range of experimental conditions.