🔬 Category

cond-mat.mtrl-sci

2806 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.

Nature of magnetic exchange interactions in kagome antiferromagnets FeGe and FeSn

Through first-principles calculations, this study reveals that the magnetic exchange interactions in kagome antiferromagnets FeGe and FeSn arise from a competition between direct ferromagnetic and RKKY antiferromagnetic couplings, where stronger direct interactions in FeGe yield a higher Néel temperature and both materials exhibit a linear dependence of exchange energy on Fe-Fe bond length, suggesting that compressive strain can significantly enhance their magnetic ordering temperatures.

Yitao Zheng, Yan Zhu, Jun Hu2026-03-27🔬 cond-mat.mtrl-sci

Size-dependent transformation patterns in NiTi tubes under tension and bending: Stereo digital image correlation experiments and modeling

This study investigates the size-dependent transformation patterns in superelastic NiTi tubes under tension and bending using high-resolution stereo digital image correlation and gradient-enhanced modeling, revealing that the outer diameter and wall-thickness ratio govern the morphology of martensite bands through the competition between bulk and interfacial energies.

Aslan Ahadi, Elham Sarvari, Jan Frenzel, Gunther Eggeler, Stanisław Stupkiewicz, Mohsen Rezaee-Hajidehi2026-03-27🔬 cond-mat.mtrl-sci

Intrinsic structure of relaxor ferroelectrics from first principles

This paper introduces the FIRE-Swap first-principles framework, which utilizes machine-learning interatomic potentials to reveal that lead magnesium niobate (PMN) possesses a unique rock-salt-like chemical order and interconnected polar nanoregions within Nb clusters, providing a mesoscale explanation for its relaxor ferroelectricity that distinguishes it from PZT and PST.

Xinyu Xu, Kehan Cai, Yubai Shi, Peichen Zhong, Pinchen Xie2026-03-27🔬 cond-mat.mes-hall

The Impact of Magnons, Defects, and Rapid Energy Migration on the Optical Properties of the 2D Magnet CrPS4

This study reveals that the complex optical fine structure of the 2D magnet CrPS4 arises primarily from exchange-mediated coupling between on-site spin-flip transitions and lattice magnons, leading to well-resolved magnon sidebands and sub-picosecond energy migration that offers new avenues for optically controlling spin-wave excitations in van der Waals magnets.

Jacob T. Baillie, Eden Tzanetopoulos, Rachel T. Smith, Remi Beaulac, Daniel R. Gamelin2026-03-27🔬 cond-mat.mtrl-sci

On the Boroxol Ring Fraction in Melt-Quenched B2_2O3_3 Glass

This study develops a DFT-accurate machine-learned potential and utilizes deep potential molecular dynamics with slow quench rates and extended geometry descriptors to successfully generate B2_2O3_3 glass models containing over 30% boroxol rings, revealing that the energy-minimized boroxol fraction of 75% closely matches experimental estimates.

Debendra Meher, Nikhil V. S. Avula, Sundaram Balasubramanian2026-03-27🔬 cond-mat.mtrl-sci

Geometric superfluid stiffness of Kekulé superconductivity in magic-angle twisted bilayer graphene

This paper proposes that a finite-momentum pair-density-wave (PDW) state in magic-angle twisted bilayer graphene reconciles observed tunneling signatures with low-temperature superfluid stiffness suppression by generating Bogoliubov Fermi surfaces, thereby establishing a direct experimental link between zero-bias conductance and phase rigidity.

Ke Wang, Qijin Chen, Rufus Boyack, K. Levin2026-03-27🔬 cond-mat

Visualizing Millisecond Atomic Dynamics of Nanocrystals in Liquid

This study utilizes millisecond-speed liquid cell electron microscopy combined with deep-learning denoising to directly visualize reversible, environment-dependent atomic fluctuations in gold nanocrystals, revealing how transient nanoscale dynamics govern their stability and reactivity in liquid environments.

Sungsu Kang, Jinho Rhee, Joodeok Kim, Sam Oaks-Leaf, Minwoo Kim, Shengsong Yang, Chang Liu, Dongsu Kim, Sungin Kim, Binyu Wu, Won Bo Lee, David T. Limmer, A. Paul Alivisatos, Peter Ercius Jungwon Park2026-03-27🔬 cond-mat.mtrl-sci

Concerted Electron-Ion Transport by Polyacrylonitrile Elucidated with Reactive Deep Learning Potentials

This study utilizes a deep-learning potential validated by experiments to reveal that polyacrylonitrile facilitates concerted electron-ion transport through a rapid, Li+-coupled sequential ring-formation mechanism triggered by a nucleophile-initiated cyclization rate-limiting step.

Rajni Chahal-Crockett, Michael D. Toomey, Logan T. Kearney, Yawei Gao, Joshua T. Damron, Amit K. Naskar, Santanu Roy2026-03-27🔬 cond-mat.mtrl-sci