2898 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 demonstrates that the interplay between the Weibull modulus (disorder) and the slenderness ratio (geometry) determines whether disorder is suppressed or expressed globally in lattice fractures, revealing that disorder-induced toughening is a non-monotonic phenomenon that cannot be explained solely by crack tortuosity or damage levels.
This paper presents a new, computationally efficient theoretical framework combining DFT and screened configuration interaction to demonstrate how crystal structure and atomistic symmetry breaking influence exciton binding energies and fine-structure splittings in CdSe nanoplatelets.
This paper presents a machine learning approach using Gaussian process regression and long-range descriptors to predict electron densities in large-scale moiré superlattices, enabling the efficient modeling of complex quantum phenomena that were previously computationally prohibitive for traditional ab initio methods.
This study reports the layer-by-layer growth of superconducting LaBi thin films and attributes their enhanced metallic behavior and improved growth dynamics compared to LaSb to significant relativistic effects on the electronic band structure.
This paper presents a multiscale simulation framework that integrates *ab initio* calculations with finite element modeling to accurately predict the I-V characteristics and resistance switching properties of CBRAM cells, enabling the reliable design and optimization of future memory devices.
This paper presents a systematic first-principles approach using metadynamics-driven molecular dynamics to accurately derive the bulk free energy surface of proper ferroelectrics as a function of temperature, polarization, and strain.
This paper describes the development of a new experimental setup that utilizes the high flux of fourth-generation synchrotron sources to perform X-ray Photon Correlation Spectroscopy (XPCS) under multi-gigapascal pressures, demonstrating its feasibility through studies on metallic glasses.
The study demonstrates that hydrostatic compression of metallic glasses creates unique metastable states that cannot be erased by simple -relaxation upon heating, revealing that pressure-induced structural changes require an additional process beyond standard relaxation to reach equilibrium.
Using machine-learned molecular dynamics with quantum accuracy, this study investigates the early-stage nucleation mechanisms in eutectic Al-Si alloys, revealing that Al nuclei grow in a globular shape under hypoeutectic conditions while Si nuclei exhibit polygonal faceting under hypereutectic conditions.
This paper presents an efficient band structure unfolding method specifically designed for atom-centered orbital basis sets that accounts for non-orthogonality, enabling accurate and large-scale analysis of electronic states in complex supercells within all-electron simulation codes like FHI-aims.