4119 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 metastable phases, typically suppressed in equilibrium, can be tracked and characterized as regions in the complex plane of thermal fields delineated by Lee-Yang zeros, offering a new framework for understanding and engineering non-equilibrium collective states in periodically driven systems.
This paper presents a Gaussian-process surrogate model trained on transfer-matrix-method simulations that accelerates the prediction of GaAs/AlGaAs distributed Bragg reflector spectra by approximately 70 times compared to traditional methods, though it underperforms a Random Forest baseline in accuracy while providing well-calibrated uncertainty estimates.
This study demonstrates the highly chemoselective and stereospecific surface synthesis of tetraaza[4]radialenes via a [1+1+1+1] cycloaddition of isocyanides on Au(111), followed by their long-range 2D crystallization into homochiral structures driven by enantioselective molecular recognition.
This paper demonstrates that an active learning framework based on information-matching can efficiently generate bespoke interatomic potentials tailored for predicting metal plastic strength by targeting correlated intermediate quantities, while also highlighting the necessity of post hoc uncertainty inflation to address residual model errors.
This paper introduces a translation- and rotation-invariant Mesh Graph Neural Network (MGN) framework that successfully generalizes to predict von Mises stress fields in 2D structural components with arbitrary hole geometries and unseen load conditions, significantly outperforming conventional machine learning models in accuracy and adaptability for finite element analysis.
This paper presents an all-electron numerical atom-centered orbital implementation of the dynamical Bethe-Salpeter equation for extended systems, which incorporates dynamical screening effects and is validated through applications to molecular crystals like naphthalene.
This study employs atomistic simulations to reveal how size-dependent surface coordination and ligand passivation govern the electronic structure of stoichiometric HgTe quantum dots, demonstrating that neutral ligands effectively eliminate localized surface states and offer a chemical handle for engineering frontier states relevant to mid-infrared optoelectronics.
This paper numerically validates a nonlinear elasticity theory by demonstrating that shear banding in amorphous solids arises from a screened soft mode instability driven by topological screening and nonlinear coefficients, fundamentally distinguishing the phenomenon from fracture.
This study demonstrates that dimensional confinement in ultrathin diamane films, rather than intentional doping, can effectively stabilize the neutral charge state of group-IV vacancy color centers in diamond while preserving their favorable magneto-optical properties.
This study identifies monolayer VO with a buckled Lieb structure as a robust room-temperature 2D altermagnet that exhibits structural stability, auxetic behavior, a large momentum-dependent spin splitting of 1.2 eV, and significant intrinsic spin Hall conductivity.