🔬 Category

cond-mat.mtrl-sci

4820 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.

🔬 materials science

Scientific applications of quantum computing: challenges and opportunities

This paper argues that while quantum computing offers a transformative paradigm for simulating molecules and materials by directly handling electronic correlation and complex energy landscapes, its true scientific value depends not merely on qubit scaling but on achieving demonstrable reductions in predictive uncertainty through disciplined integration with classical workflows across various stages of hardware development.

Bruno Camino, C. Richard A. Catlow, John Buckeridge, Alin M. Elena, Vladimir V. Gusev, Sarah Harris, Thomas W. Keal, Gle (…)2026-08-18
🔬 materials science

Machine Learning-Accelerated Band-Edge Engineering of Pnictogen Chalcohalide Solid Solutions for Solar Energy Technologies

This study employs machine learning combined with first-principles calculations to map the tunable band-edge positions of pnictogen chalcohalide solid solutions across their full compositional range and surface terminations, identifying specific formulations suitable for various solar energy applications and revealing that facet selection is a critical design parameter comparable to chemical substitution.

Cibrán López, David Rovira, Edgardo Saucedo, Claudio Cazorla2026-08-18
🔬 mesoscale physics

Reduced vortex descriptors linking polycrystallinity in magnetic nanoparticles with polarized magnetic small-angle neutron scattering

This study demonstrates that analytical vortex models can effectively reduce polarized magnetic small-angle neutron scattering data from polycrystalline iron oxide nanoflowers to a small set of texture descriptors, revealing that intergrain exchange coupling and anisotropy-axis coherence distinctly govern the radial and orientational characteristics of the magnetic vortex states, respectively.

M. P. Adams, J. Leliaert, A. Michels, E. M. Jefremovas2026-08-18
🔬 materials science

Standard model of electromagnetism and chirality in crystals

This paper presents a general, quantitative theory of electromagnetism and chirality in crystals that uses symmetry principles and a formal analogy between space and time inversions to establish comprehensive classifications of five types of multipole polarizations and five types of chirality, thereby extending concepts like ferroelectricity and enantiomorphism to higher-rank orders in quantum materials.

R. Winkler, U. Zülicke2026-08-17
🔬 materials science

Probing out-of-distribution generalization in machine learning for materials

This study reveals that common heuristic evaluations in materials science machine learning often overestimate generalizability and the benefits of neural scaling because they primarily test interpolation within the training domain rather than true out-of-distribution extrapolation, where increasing data or model size yields diminishing or adverse returns.

Kangming Li, Andre Niyongabo Rubungo, Xiangyun Lei, Daniel Persaud, Kamal Choudhary, Brian DeCost, Adji Bousso Dieng, Ja (…)2026-08-17
🔬 materials science

LLM4Mat-Bench: Benchmarking Large Language Models for Materials Property Prediction

This paper introduces LLM4Mat-Bench, the largest benchmark to date comprising 1.9 million crystal structures and 45 properties across multiple input modalities, to systematically evaluate and highlight the limitations of both general-purpose and task-specific large language models in predicting materials properties.

Andre Niyongabo Rubungo, Kangming Li, Jason Hattrick-Simpers, Adji Bousso Dieng2026-08-17
🔬 materials science

Materials and spin characteristics of amino-terminated nanodiamonds embedded with nitrogen-vacancy color centers

This study systematically characterizes nitrogen-vacancy centers in amino-terminated fluorescent nanodiamonds, revealing that while zero-field splitting parameters evolve with size, wet-chemical Hofmann amino termination uniquely enables a high, laser-power-independent negative charge state in 140-nm particles by degrading surface paramagnetic defects.

Nikoletta Jegenyes, Vladimir Verkhovlyuk, Szabolcs Czene, Attila Csáki, Olga Krafcsik, Zsolt Czigány, David Beke, Adam G (…)2026-08-17
🔬 materials science

Uniaxial strain tuned magnetism of the altermagnet candidate h-FeS

This study demonstrates that uniaxial in-plane compressive strain effectively suppresses both the spontaneous anomalous Hall effect and the tiny net magnetization in the altermagnet candidate h-FeS by tuning the c-axis ferromagnetic moment, highlighting a strong correlation between these properties and offering a viable control mechanism for spintronic applications.

Weiliang Yao, Feng Ye, Zachary J. Morgan, Douglas L. Abernathy, Ruixian Liu, Sijie Xu, Yuxiang Gao, Kevin Allen, Yuan Fa (…)2026-08-17
🔬 applied physics

Chirality Transfer to the Magnetic Sublattice in the Hybrid Perovskite (R)-/(S)-3-Fluoropyrrolidinium Copper(II) Chloride

This study demonstrates that incorporating chiral 3-fluoropyrrolidinium cations into a two-dimensional copper chloride perovskite induces chiral magnetic order and a second-order magnetoelectric effect, whereas the racemic variant lacking structural chirality exhibits no such magnetic chirality despite sharing the same antiferromagnetic transition temperature.

Zheng Zhang (Department of Chemistry, Tulane University), Mingyu Xu (Department of Chemistry, Michigan State University) (…)2026-08-17