🔬 Category

cond-mat.mtrl-sci

4940 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

X-ray magnetic circular dichroism and resonant inelastic X-ray scattering explained: role of many-body correlation and valence fluctuations

This study demonstrates that accurately interpreting X-ray magnetic circular dichroism and resonant inelastic X-ray scattering spectra in the mixed-valence ferromagnet La0.7_{0.7}Sr0.3_{0.3}MnO3_3 requires a comprehensive theoretical approach incorporating charge transfer, many-body core-valence exchange correlation, and Jahn-Teller distortions, as simplified models fail to capture key experimental substructures.

Beom Hyun Kim, Sang-Jun Lee, H. Huang, D. Lu, S. S. Hong, S. Lee, P. Abbamonte, Y. I. Joe, P. Szypryt, W. B. Doriese, D. (…)2026-06-23
🔬 materials science

Electronic and optical properties of the thio-apatites phases Ba5_5(VSα_αOβ_β)3_3X [X=Cl, F, Br, I]: impact of multiple anionic substitution

This study utilizes first-principles density functional theory to demonstrate that the electronic and optical properties of thio-apatites Ba5_5(VSα_{\alpha}Oβ_{\beta})3_3X can be finely tuned through multiple anionic substitutions of sulfur for oxygen and varying halide types, revealing their potential as efficient photocatalysts for water splitting, particularly in the iodine-containing variant.

Smritijit Sen, Houria Kabbour2026-06-23
🔬 mesoscale physics

Heavy fermion phase diagram in magic-angle twisted trilayer graphene

This paper demonstrates an electrically tunable heavy fermion phase diagram in magic-angle twisted trilayer graphene, where a displacement field controls Kondo hybridization to drive a continuous quantum phase transition from an antiferromagnetic semimetal to a paramagnetic heavy fermion metal, marked by effective mass divergence and Fermi surface reconstruction at the critical point.

Le Zhang, Wenqiang Zhou, Xinjie Fang, Zhen Zhan, Kenji Watanabe, Takashi Taniguchi, Yi-feng Yang, Shuigang Xu2026-06-23
🔬 materials science

Origin of circular and triangular pores in electron-irradiated hexagonal boron nitride

This study reveals that the shape of electron-irradiated pores in hexagonal boron nitride is chemically controlled by the presence of oxygen, with ultra-high vacuum conditions yielding circular pores while trace oxygen drives the formation of triangular, nitrogen-terminated pores.

Umair Javed, Manuel Langle, Vladimir Zobac, Alexander Markevich, Barbara Maria Mayer, Clara Kofler, Martin Paul, Darwin (…)2026-06-23
🔬 mesoscale physics

Observation of momentum dependent charge density wave gap in EuTe4

This study combines first-principles DFT calculations, angle-resolved photoemission spectroscopy, and low-temperature heat capacity measurements to characterize the momentum-dependent charge density wave gap and construct the magnetic phase diagram of the rare-earth chalcogenide EuTe4.

Iftakhar Bin Elius, Nathan Valadez, Gyanendra Dhakal, Volodymyr Buturlim, Sabin Regmi, Dante James, Peter Radanovich, Ma (…)2026-06-23
🔬 materials science

Bayesian Neural Networks versus deep ensembles for uncertainty quantification in machine learning interatomic potentials

This paper introduces a Bayesian neural network implementation within the aenet-PyTorch framework and systematically compares its uncertainty quantification capabilities against deep ensembles on TiO2_2 structures to guide the development of reliable machine learning interatomic potentials.

Riccardo Farris, Emanuele Telari, Nongnuch Artrith, Konstantin Neyman, Albert Bruix2026-06-23✓ Author reviewed ⓘ
🔬 materials science

Impact of Nitrogen Atom Clusters and Vacancy Defects on Graphene: A Molecular Dynamics Investigation

This molecular dynamics study reveals that while both nitrogen atom clusters and equivalent-sized vacancy defects degrade graphene's mechanical integrity, they induce distinct failure mechanisms, with vacancies acting as severe stress concentrators causing premature failure and clusters altering crack propagation patterns, thereby offering critical insights for optimizing defect-tolerant design in graphene-based applications.

Indranil Rudra, Md. Moktadir Billah Tahmid, Jahid Emon, Mohammad Jane Alam Khan2026-06-23
🔬 materials science

Multi-state electromagnetic phase modulations in NiCo2O4 through cation disorder and hydrogenation

This study demonstrates that controllable cation disorder and hydrogenation in spinel NiCo2O4 enable multi-state electromagnetic phase modulations, establishing it as a versatile platform for low-power, scalable oxide spintronic devices with tunable spin states and perpendicular magnetic anisotropy.

Xuanchi Zhou, Xiaohui Yao, Shuang Li, Xiaomei Qiao, Jiahui Ji, Guowei Zhou, Huihui Ji, Xiaohong Xu2026-06-23
🔬 materials science

Matter with apparent and hidden spin physics

This paper presents a comprehensive framework for classifying and discovering both apparent and hidden spin splitting and polarization in real materials based on their underlying symmetries and interactions, with a specific focus on electrically tunable effects in antiferromagnets and the importance of resolving correct atomistic symmetries to reveal concealed physics.

Jia-Xin Xiong, Xiuwen Zhang, Lin-Ding Yuan, Alex Zunger2026-06-23