4135 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 reports the successful on-surface synthesis and comprehensive characterization of a novel gulf-edged chiral graphene nanoribbon, establishing a new design motif that yields a 1.8 eV bandgap semiconductor while revealing distinctive vibrational fingerprints and ambient instability linked to edge features.
This paper reports the first experimental observation of the optical nonlinear anomalous Hall effect in the antiferromagnet CuMnAs, demonstrating its ability to distinguish 180°-reversed magnetic states and enabling nanoscale imaging of hidden antiferromagnetic order for advanced spintronic applications.
This study demonstrates that natural language-derived descriptors generated from transformer embeddings of alloy processing treatments can effectively reconstruct processing parameters and significantly improve the prediction accuracy of high-entropy alloy hardness by 20%.
This study experimentally demonstrates that epitaxial bismuth films grown on ferromagnetic EuO(111) substrates form a stable, room-temperature quantum spin Hall insulator with edge-localized states, establishing a viable platform for realizing magnetically tunable higher-order topological phases.
This paper introduces a "cryogenic shock exfoliation" method combined with low-pressure van der Waals assembly to produce large-area, high-yield rhombohedral multilayer graphene devices exhibiting ultrahigh mobility and uniform correlated electron phases, thereby overcoming previous material abundance and fabrication limitations.
Through thermodynamic, muon-spin relaxation, and neutron scattering measurements down to 16 mK, this study reveals that the distorted triangular lattice antiferromagnet TbBO3 exhibits persistent spin-liquid-like dynamics driven by dominant 2D short-range correlations and the interplay of frustration and spin-orbit coupling, despite the absence of long-range magnetic order.
This study employs DFT+U calculations to investigate the low-temperature phase of magnetite, analyzing the relationship between trimeron ordering, bandgap properties, site-selective doping, and polaron hopping energy to elucidate the material's complex electronic behavior.
Using low-temperature scanning tunneling microscopy, researchers discovered that the van der Waals metal CeTe3 hosts versatile, competing antiferromagnetic charge-ordered states (stripe and checkerboard) tunable by modest magnetic fields, revealing a rich, strongly correlated electronic landscape that extends beyond weak-coupling descriptions and offers a new platform for engineering tunable nanoscale quantum states.
This study demonstrates that the choice of electron-positron correlation functional, particularly the use of the non-local weighted density approximation (WDA), is critical for accurately predicting positron annihilation lifetimes in lead halide perovskites, revealing that previous discrepancies in theoretical predictions and experimental interpretations of cation vacancies stem from the sensitivity of these materials to the specific approximation used.
This paper presents an autonomous large language model agent capable of end-to-end, data-driven materials theory development that successfully recovers established equations and proposes new relationships, while highlighting the critical need for careful validation due to the model's potential to generate mathematically fitting yet scientifically incorrect results.