4797 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 demonstrates the detection of normally forbidden acoustic phonons in graphite and diamond using Raman spectroscopy, achieved through lattice amorphization and boron doping respectively, with findings supported by density functional theory calculations.
This paper introduces UFO-MGen, a universal flow-based generative model that leverages topological features of Wyckoff representations to achieve superior crystal generation success, novelty, and property-constrained inverse design capabilities, thereby advancing accelerated materials discovery for extreme environments.
This study demonstrates that the condensation of macromolecular crowders into liquid droplets induces a reversible, order-of-magnitude loss of rigidity in filament networks by modulating the osmotic pressure that holds the network together.
This paper introduces PolyBench26, an open benchmark dataset comprising nearly 250,000 polymer-property datapoints across diverse architectures and sources, which establishes a standardized framework for evaluating machine learning models and demonstrates that graph-based approaches outperform other methods in predicting complex polymer properties.
This study evaluates various density-functional theory and high-level ab initio methods to identify optimal approaches for modeling ferroelectric switching in wurtzite materials, concluding that while no single method currently serves as a perfect "gold standard" due to significant variability, the combination of RPA with singles corrections (RPAR+S) and the r2SCAN-rVV10 functional offers the most reliable foundation for future extended active learning workflows in training machine-learning interatomic potentials.
This paper argues that the high-frequency spin nutation mode predicted by the inertial Landau-Lifshitz-Gilbert (iLLG) equation is likely a spurious artifact arising from the low-frequency truncation of non-Markovian memory effects, rather than a genuine physical phenomenon confirmed by recent experiments.
This study reports that the asymmetric magnetoresistance observed in epitaxial LaCaMnO/SrIrO bilayers at low temperatures arises from a Mn/Ir magnetic coupling and interface-driven spin scattering, where the ordering of the SrIrO layer induces a positive-to-negative crossover and unidirectional anisotropy in the transport properties.
The paper introduces SoLiD26, a comprehensive dataset of 15.4 million first-principles atomic structures covering diverse solid-liquid interfaces, designed to train and benchmark machine-learned interatomic potentials for applications in electrochemistry, catalysis, and corrosion.
Using ultrafast X-ray diffraction and magnetic circular dichroism, this study demonstrates that while high-field circular terahertz drives induce significant ionic motion in EuTiO, they do not generate a detectable transient spin polarization, thereby disentangling the observed optical helicity-dependent responses from actual magnetic effects.
This paper demonstrates that solid-state dealloying of epitaxial La-Ag-Ge thin films via high-temperature annealing induces local symmetry-breaking distortions and converts a polar non-centrosymmetric phase into a diffraction-averaged centrosymmetric superconductor, thereby establishing a route for the deterministic synthesis of metastable quantum materials with enhanced electronic properties.