4007 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.
The authors present a non-empirical, Kohn-Sham-assisted orbital-free density functional theory framework that achieves Kohn-Sham-level accuracy for electronic structure calculations under extreme conditions while offering computational speedups of several hundred times compared to traditional methods.
This paper identifies the family of -wave altermagnets as a versatile platform for realizing robust, spin-valley-locked nodal-line fermions protected by mirror symmetry, offering a general design principle for isolating these topological states through layer engineering and electronic correlations.
This perspective argues that the next frontier in energy materials discovery lies in developing thermodynamics-informed machine learning models that move beyond static zero-temperature energy predictions to capture the essential roles of entropy and anharmonicity in governing materials behavior under realistic operating conditions.
First-principles calculations reveal that ordered BiSbTeSe breaks inversion symmetry to exhibit giant bulk Rashba spin splitting alongside robust topological surface states, establishing it as a unique platform for investigating coexisting bulk and surface spin-charge transport phenomena.
This study presents physics-informed machine learning models that accurately predict cRPA-derived Hubbard interaction parameters (, , and ) for transition-metal oxides, offering both high-throughput screening capabilities and new physical insights into the electronic and structural factors governing these interactions.
PUDA introduces a headless, AI-native hardware harness for self-driving laboratories that replaces traditional graphical interfaces with a deterministic command-line runtime, enabling autonomous agents to execute experiments while ensuring full data provenance and auditability through structured, linked records.
This study utilizes scanning nitrogen-vacancy magnetometry to reveal that mechanical strain controls altermagnetic domains in bulk -MnTe through a hysteretic process of domain coalescence during compression and metastable fragmentation upon unloading, establishing a pathway for strain-programmable spintronic devices.
This paper demonstrates that in flat-band systems, the RKKY exchange interaction is governed by virtual interband transitions leading to an exponential decay length determined by both the band gap and quantum geometry, while the restoration of dispersion can induce geometric selection effects that alter the decay tail from to .
Using machine learning force field-based molecular dynamics simulations, this study reveals that polarization switching in ferroelectric Hf0.5Zr0.5O2 is driven by a cooperative, transient exchange between 3- and 4-coordinated oxygen atoms involving a unique "detour" pathway and internal self-compensation, rather than by conventional simple displacement models.
This molecular dynamics study reveals that amorphous refractory metals (V, Nb, Mo, Ta, W) undergo shear-driven bulk nucleation and growth to transform into bcc crystals during nanoindentation, with their crystal forming ability decreasing from V to W and scaling inversely with indentation velocity, indicating that the transformation rate is governed by cohesive bond strength rather than thermodynamic driving force.