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 study introduces a defect-chemistry-consistent phase-field model explicitly coupled with charge transition levels to demonstrate how these levels govern space-charge layer formation, modulate grain boundary migration kinetics through rapid hole transport, and dictate the distinct properties of slow and fast boundaries in Fe-doped SrTiO₃.
This paper demonstrates that linearly polarized light can non-thermally control ferromagnetic resonance frequency via the inverse Cotton-Mouton effect, with theoretical predictions showing excellent agreement with simulations and experimental data for bismuth-substituted yttrium iron garnet.
This paper demonstrates a hybrid-2D excitonic metasurface platform using gate-tunable monolayer WS2 and inverse design to achieve independent, full-range control of both amplitude and phase in the visible spectrum, enabling reconfigurable wavefront shaping for applications like beam steering.
This paper introduces the BOS-TMC dataset, a comprehensive collection of over 2.9 million DFT properties for 159,000 experimentally characterized transition metal complexes across multiple charge and spin states, designed to serve as a high-fidelity foundation for machine learning, DFT benchmarking, and chemical exploration.
This study demonstrates that applied strain continuously rotates the Néel vector in altermagnetic MnTe, thereby tuning its magnetic symmetry and enabling the formation of large-scale continuous magnetic textures for potential spintronic applications.
This paper presents a symmetry-guided, AI-accelerated framework using graph neural networks to efficiently discover over 50 new altermagnetic and Néel antiferromagnetic candidates within fully intercalated transition metal dichalcogenides, establishing them as a versatile platform for advanced antiferromagnetic spintronics.
This study reveals that immotile microbial colonies, such as yeast, can achieve long-range dispersal in physically confining environments by metabolically generating CO bubbles that fracture the surrounding matrix and hydrodynamically entrain cells, establishing a novel mode of population-scale motion termed "metabolically driven active matter."
This paper establishes a unified classification of three-dimensional Van Hove singularities based on directional criticality and higher-order flatness, demonstrating how noncritical types with directional quenching and various higher-order types can be engineered in pyrochlore lattices to tailor density-of-states enhancements for correlated electronic phenomena.
This paper presents the development of millimeter-scale, self-assembled SrLuF:Ce3+/Pr3+ core-shell nanoparticle superlattices that function as ultrafast, radiation-hard scintillators with tunable emission and sub-nanosecond decay times, suitable for applications ranging from precision health to hard X-ray imaging at free-electron laser facilities.
This perspective argues that differentiable hybrid force fields, which combine physically motivated functional forms with neural network corrections, resolve the critical trade-off between speed, accuracy, and calibratability to enable scalable, closed-loop autonomous discovery of electrolytes.