4940 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 presents the first implementation of a U(1)×SU(2) gauge-invariant spin-current-density-functional theory (SCDFT) functional within VASP, which successfully captures exchange-correlation spin-torque effects in semilocal functionals by incorporating spin-current density, thereby achieving accuracy comparable to exact exchange methods with efficient computational convergence.
This study utilizes first-principles calculations and TCAD modeling to demonstrate that growth orientation and strain significantly influence the electronic properties and Schottky barrier diode performance of -GaO and (AlGa)O heterojunctions, highlighting their critical role in accurate device simulation.
This study establishes design rules for efficient quartet generation in luminescent radicals by demonstrating that Coulombic tuning of electronic coupling via molecular topology controls charge transfer pathways, enabling high luminescence yields dominated by long-lived quartet states.
This paper demonstrates a minimally invasive, microwave-free method for detecting superconductivity and measuring critical parameters like transition temperature and penetration field in YBCO thin films by utilizing nitrogen-vacancy centers in nanodiamonds to sense magnetic field variations via near zero-field cross-relaxation magnetometry.
This paper introduces a symmetry-guided framework that systematically predicts magnetic ground states and metastable phases without experimental input, successfully reproducing known structures for the majority of benchmarked materials and identifying unconventional magnets through efficient first-principles calculations.
This study combines angle-resolved photoemission spectroscopy and density functional theory to demonstrate that the electronic band structure and Fermi surface topology of epitaxial SrRuO films are highly sensitive to epitaxial strain, exhibiting distinct orthorhombic-like and tetragonal-like symmetries on LSAT and STO substrates, respectively.
This paper presents an end-to-end, constraint-aware quantum optimization workflow for doped ZrO2 materials that utilizes a high-accuracy QUBO surrogate to enable both a constraint-preserving XY-mixer QAOA and a fault-tolerant Grover Adaptive Search, demonstrating significant probability concentration near the global optimum and substantial resource savings through feasible-space amplification.
This paper proposes a fast and accurate method for predicting the effective elastic moduli of digital rocks by combining a lightweight 3D convolutional neural network with hierarchical homogenization, which replaces computationally expensive direct numerical simulations and demonstrates that training on Hashin–Shtrikman-normalized factors offers the optimal balance between speed, accuracy, and physical consistency.
This paper demonstrates the feasibility of wide-field optically detected magnetic resonance (ODMR) using nitrogen-vacancy (NV) centers to spatially visualize magnetic fields under simultaneous extreme conditions of high pressure (up to 7 GPa) and high temperature (500 K), establishing a new platform for imaging magnetic phenomena in such environments.
This first-principles study systematically analyzes the intrinsic defect energetics of Li2CO3 and Li2O2, revealing that fluorine doping selectively lowers vacancy formation energies to partially destabilize the carbonate framework and modulate the stability of these discharge products in lithium-oxygen batteries.