2832 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 benchmarks various machine learning models for automating polarization mapping in ferroelectric potassium sodium niobate using 4D-STEM data, demonstrating that while synthetic training faces a simulation-to-experiment domain gap, specific training regimes and PCA-based methods can bridge this divide while also revealing that model errors correlate with crystal defects.
This study employs reactive molecular dynamics simulations to demonstrate how polystyrene and polyvinyl nitrate polymer binders influence the temperature and criticality of shock-induced hotspots in RDX, revealing that while inert polymers often delay chemical reactions, specific geometries can accelerate them.
This paper presents a differentiable computational framework for the continuous reprogramming of Totimorphic lattices' effective mechanical and optical properties through geometric optimization, enabling autonomous self-configuration and self-repair for deep space applications such as adaptive telescope mirrors.
This study resolves the link between wave modulation and nanotwinning in Ni-Mn-Ga martensite by demonstrating that anharmonic five-layer structural modulation evolves from incommensurate states to long-period commensurate phases, which can be structurally interpreted as periodic a/b-nanotwins.
This study develops a highly accurate machine-learned potential for the tungsten-hydrogen system to reveal, through large-scale simulations, how hydrogen aggregates into planar clusters within nanovoids to trigger brittle fracture via bubble cracking and suppressed dislocation activity.
This study utilizes ion beam techniques (NRA, RBS, and FIB) combined with ab-initio simulations to screen six single-atom metals for lithium-ion battery applications, revealing distinct lithiation behaviors—alloy formation, solid solution intercalation, or barrier effects—and establishing a direct correlation between electrochemical performance and fundamental thermodynamic parameters.
This study combines first-principles calculations with machine learning to demonstrate that tuning the Ru concentration in MnRuGa Heusler alloys induces a transition to perpendicular magnetic anisotropy and half-metallicity, particularly at intermediate compositions, thereby identifying the material as a promising candidate for advanced spintronic applications.
This study presents a high-throughput screening of the MAGNDATA database using symmetry analysis and DFT calculations to identify 173 altermagnetic candidates with significant momentum-dependent spin splitting, while revealing that maximal splitting often occurs away from high-symmetry paths to guide future experimental characterization.
This paper establishes a diagrammatic mapping between fermionic polarizations in the single-boson exchange formalism and bosonic self-energies, thereby validating the identification of screened interactions as bosonic propagators, recovering trace log theory under specific approximations, and clarifying how parquet approaches enforce the Hohenberg-Mermin-Wagner theorem.
This study reveals that twisted bilayer MoTe hosts an intervalley superconducting phase emerging from a non-Abelian fractional spin Hall insulator, driven by the condensation of charge- non-Abelian anyons and supported by both exact diagonalization and field-theoretic analyses.