4797 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 presents a parameterized phase-field simulation workflow that integrates experimental data from atom probe tomography and transmission electron microscopy to quantitatively model the nucleation, growth, and coarsening of precipitates in Mg-Nd alloys, thereby enabling the optimization of aging processes to achieve target precipitate densities.
This paper reports the emergence of an in-plane anomalous Hall effect and a pronounced third-harmonic Hall response in an easy-plane trigonal magnet, demonstrating that reducing magnetic anisotropy enhances a symmetry-governed, intrinsic nonlinear transport mechanism characterized by a cubic field dependence and a dominant sin(3θ) angular component.
This paper introduces the Young-E(3) Tensor Product (YE3T) decomposition, a generalization of cluster expansions that generates complete, orthonormal, and efficient bases for arbitrary rotation and permutation symmetries, thereby surpassing existing methods in speed and accuracy for machine-learned interatomic potentials.
This paper presents a general framework for creating active 3D woven robotic structures that uniquely combine high axial stiffness for load-bearing, low bending stiffness for efficient actuation, and system-level resilience, enabling them to locomote while carrying loads up to 70 times their self-weight and withstand extreme compression.
This study reveals that the pronounced resistivity anomaly observed in the antiferromagnetic compound EuZn2As2 near its Néel temperature arises from spin-scattering mechanisms rather than a reconstruction of the electronic structure, as evidenced by the minimal temperature-dependent changes in its band structure observed via ARPES and DFT calculations.
This study reveals that dopant-induced lattice softening, rather than traditional mass or size mismatches, drives a drastic reduction in lattice thermal conductivity in -FeSi thermoelectrics by weakening interatomic force constants and amplifying anharmonic phonon scattering.
This paper proposes a unique, parameter-free symplectic phase-space attention mechanism that circumvents the single-layer induction obstruction by applying a post-RoPE upper shear to query and key streams, thereby enabling efficient induction capabilities with minimal computational overhead while revealing a critical dependence on channel structure for optimal performance.
This paper theoretically demonstrates that a lateral WS2-MoS2-WS2 double heterojunction supports electrically switchable one-dimensional excitons, where an external electric field continuously transforms a zero-dipole, quadrupolar ground state into a dipolar state, enabling geometric control over the system's Stark sensitivity.
This paper proposes and analyzes the phonon angular momentum transfer torque (PAMTT), a mechanism where thermal gradients or noncentrosymmetry generate polarized phonons that transfer angular momentum to magnetic order, potentially enabling measurable frequency shifts and nanosecond-scale magnetization reversal.
This paper introduces GEM, an open-source Python software package integrated with the TRIQS ecosystem that implements the ghost-Gutzwiller approximation to efficiently simulate equilibrium properties of strongly correlated multi-orbital lattice systems at zero and finite temperatures.