4772 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 that spin-current transmission through epitaxial -FeO thin films is highly sensitive to both layer thickness and temperature, exhibiting distinct linear regimes separated by a characteristic temperature that correlates with the material's Morin spin reorientation transition.
This paper introduces an E(3)-equivariant neural network that accurately predicts the imaginary-frequency G₀W₀ self-energy of molecules from atomic coordinates, enabling the efficient reconstruction of real-frequency spectral functions and quasiparticle energies without performing expensive first-principles calculations.
This paper introduces DPA4C-LR, a scalable machine learning interatomic potential framework that analytically separates long-range electrostatics from local latent charge derivatives to enable efficient, distributed atomistic simulations of electrical responses and field-dependent material properties across millions of atoms.
This study demonstrates that epitaxial (La2/3Sr1/3MnO3)3/(BaTiO3)3 trilayer heterostructures exhibit robust room-temperature ferromagnetism with a high critical temperature of approximately 600 K, a finding confirmed by neutron diffraction and magnetization measurements that rule out antiferromagnetic ordering.
This paper introduces a linear response method that enables machine-learned interatomic potentials to calculate exact phonon properties at arbitrary wave vectors directly from the primitive cell, thereby eliminating the significant frequency errors and spurious instabilities inherent in traditional supercell finite-displacement approaches while maintaining comparable computational costs.
This paper introduces a six-band multiorbital double helix model based on DNA geometry to demonstrate that inter-strand hybridization and structural asymmetries generate distinct atomic and itinerant orbital angular momentum textures, offering a comprehensive framework for understanding geometry-controlled angular momentum transport in chiral molecular conductors.
This paper presents a 15-year retrospective on the pymatgen library, highlighting its community-driven growth, established best practices, and future development strategies within the evolving landscape of computational materials science and informatics.
This paper proposes and theoretically validates a proximity engineering strategy where coupling conventional semiconductors to gapped -wave altermagnets induces robust nonrelativistic spin splitting while allowing electrostatic tuning to suppress competing relativistic Rashba effects, thereby enabling the creation of pure nonrelativistic spin-split states in established semiconductor platforms.
This paper introduces topas-editor, a VS Code extension, and TOPilot, an AI-driven automation framework, which together provide a powerful, freely available interface for the TOPAS software suite to enable generative AI-assisted creation, editing, and automated analysis of complex diffraction and total scattering data.
This study demonstrates that while spin-orbit torque can control magnon transport in lithium aluminum ferrite thin films, the effectiveness of this modulation is ultimately limited by nonlinear damping arising from SOT-driven auto-oscillations that suppress propagating magnon populations at high gate currents.