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

Field-induced topological Hall effect and butterfly-shaped magnetoresistance in the centrosymmetric antiferromagnet EuAuAs

This study reveals that the centrosymmetric antiferromagnet EuAuAs exhibits a field-induced topological Hall effect and butterfly-shaped magnetoresistance in its antiferromagnetic state, driven by finite scalar spin chirality and magnetic domain evolution.

Yu Zhang, Junfa Lin, Huan Wang, Kun Han, Yiting Wang, Xue Dong, Zhenfeng Guan, Shengdi Xi, Tian-Long Xia2026-06-30
🔬 materials science

Consistent transition model for Bi0.5Na0.5TiO3 from temperature-dependent structural and electrical properties

This study establishes a unified transition model for Bi0.5Na0.5TiO3 by integrating structural and electrical characterization techniques to resolve conflicting interpretations of its phase evolution, thereby providing a foundation for developing high-performance lead-free energy storage materials.

Thomas Fourgassie (Laboratoire GREMAN UMR7347, University of Tours, Tours, France, Université Paris-Saclay, CentraleSupé (…)2026-06-30
🔬 materials science

Atompack: A Storage and Distribution Layer for Read-Heavy Atomistic ML Training Datasets

The paper introduces Atompack, an append-oriented storage format and distribution layer optimized for read-heavy atomistic machine learning training, which significantly outperforms existing baselines like ASE, LMDB, and HDF5 by delivering faster shuffled read throughput and producing substantially smaller dataset artifacts.

Ali Ramlaoui, Daniel T. Speckhard, Sagar Pal, Fragkiskos D. Malliaros, Alexandre Duval, Victor Schmidt2026-06-30
🔬 materials science

Boron-assisted stabilization of low-resistivity mixed-valence Cu-O thin films prepared by reactive magnetron sputtering

This study demonstrates that boron doping effectively stabilizes low-resistivity mixed-valence Cu-O thin films with a resistivity of approximately 0.06 Ω\Omega cm under oxygen-rich conditions by altering oxidation pathways and broadening the stability window of Cu2_2O and Cu4_4O3_3 phases, offering a promising strategy for optoelectronic and photovoltaic applications.

Nirmal Kumar, Jemal Yimer Damte, Michal Procházka, Radomír Čerstvý, Jiří Houška, Pavel Baroch, Stanislav Haviar, Jiří Re (…)2026-06-30
🔬 materials science

Bayesian model comparison of type-I and type-II ultrafast demagnetization dynamics

This study employs Bayesian model comparison to demonstrate that finite experimental temporal resolution and noise significantly obscure the intrinsic differences between type-I and type-II ultrafast demagnetization dynamics, often rendering their statistical discrimination inconclusive and highlighting the sensitivity of such classifications to experimental conditions.

Hiroki Wadati, Tetsuro Ueno2026-06-30
🔬 materials science

Synthesizability and Mechanical Properties of High-Entropy Borides: First-Principles and Machine Learning Studies

This study combines first-principles density functional theory calculations and machine learning to systematically evaluate the synthesizability and mechanical properties of 126 potential five-metal high-entropy borides, identifying key descriptors like entropy forming ability and highlighting the destabilizing role of chromium to guide the discovery of mechanically superior single-phase materials.

Luke Moore, Ethan Fox, Bria Storr, Jayden R. Palomino, Shane A. Catledge, Yogesh K. Vohra, Cheng-Chien Chen2026-06-30
🔬 materials science

Excitons in Large Disordered Boron-Nitride Layer using Linear-Scaling Bethe-Salpeter Simulations

This paper introduces a real-space, linear-scaling Bethe-Salpeter framework that enables efficient excitonic spectroscopy in large, disordered boron-nitride systems, revealing disorder-induced asymmetric broadening, a crossover in peak redshift, and Anderson localization of excitons in structures with up to 10510^5 orbitals.

Thomas Galvani, Lorenzo Sponza, Hakim Amara, Sylvain Latil, Stephan Roche2026-06-30