2692 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 introduces a crosstalk-suppressed SPAD-array photon-correlation method to quantify multi-photon emission in over 1,000 colloidal quantum shells, revealing a near-Gaussian distribution of biexciton emission efficiencies and confirming that intra-batch correlations with particle brightness align with volume-scaling Auger quenching.
This paper introduces a Joint Approximate Diagonalization method for quasiparticle self-consistent $GW$ calculations that utilizes the full dynamical self-energy and a density matrix derived from the full Green's function, achieving accuracy comparable to standard while offering improved agreement with high-level CCSD(T) reference values.
Using in-situ cryogenic electron microscopy on 1T-TiSe nanoflakes, this study demonstrates that charge density wave melting points depress as flake size decreases below 100 nm due to finite-size effects cutting off correlation length divergence, thereby confirming that electronic phase transitions in correlated states follow classical nucleation theory.
This paper demonstrates a scalable and deterministic method for constructing moiré superlattices in 2D materials using patterned thin-film stressors to induce controlled heterostrain, enabling the engineering of specific lattice deformations and in-plane polarization.
This study demonstrates that in GdFeCo ferrimagnets, spin currents generated by the spin Hall effect (from Gd 5d electrons) and the spin anomalous Hall effect (from FeCo 3d electrons) maintain distinct signs and symmetries across the magnetization compensation temperature, revealing that these mechanisms originate from separate electronic subsystems and do not invert their torque signs despite changes in net magnetization.
This study employs advanced computational methods to determine and analyze the polar and nonpolar band alignments of wurtzite BAlN alloys, revealing composition-dependent type I or II alignments and surface polarity effects that provide critical design guidelines for high-electron-mobility transistors and ultraviolet optoelectronic devices.
This study demonstrates that fracture initiation in silicate glasses is governed by a universal shear localization mechanism, challenging the traditional view that emphasizes volumetric densification and aligning these materials with the rupture behavior of bulk metallic glasses and amorphous polymers.
This study demonstrates that hydrothermally grown chiral tellurium nanowires exhibit phase-coherent quasi-ballistic transport, gate-tunable quantum dot formation, and highly anisotropic g-factors, establishing them as a versatile platform for spin qubits and Majorana zero mode research.
This paper presents a new method for growing air-stable, highly crystalline zirconium oxide layers on niobium that form atomically sharp interfaces and prevent oxide re-growth, thereby offering a promising pathway to reduce two-level system defects and improve the coherence times of superconducting quantum devices.
This paper introduces Graphlet-MP, a comprehensive database and open-source toolkit that provides interpretable, data-efficient graphlet histogram representations for over 149,000 inorganic crystals to enable materials property prediction even with scarce experimental data.