🔬 Category

cond-mat.mtrl-sci

4119 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

Information Entropy Based Crystal Structure Prediction of Chemically Disordered Alloys via Graph Convolutional Neural Networks

This paper proposes an information-theoretic approach for predicting the phase stability of chemically disordered alloys by combining alchemical Monte Carlo sampling with a Graph Convolutional Neural Network model and an information entropy-based metric, demonstrating its effectiveness across binary to quinary systems where conventional methods face computational challenges.

Suman Chabri, Gautam Anand2026-06-09
🔬 mesoscale physics

Chiral-Angle-Controlled Altermagnetic Spin Splitting in Nanotubes

This paper demonstrates that rolling a two-dimensional dd-wave altermagnet into a nanotube transforms its momentum-dependent spin splitting into a chiral-angle-controlled one-dimensional splitting following a cos⁡(2θ)\cos(2\theta) dependence, thereby establishing dimensional projection as a general strategy for engineering spin-split quantum states in low-dimensional magnetic materials.

Ersoy Sasioglu, Tom. G. Saunderson, Börge Göbel, Ingrid Mertig, Samir Lounis2026-06-09
🔬 applied physics

Chemical tuning of magnetic ordering and cryogenic magnetocaloric response in zircon-type Gd1-xErxVO4

This study demonstrates that partial substitution of Gd³⁺ with smaller Er³⁺ ions in zircon-type Gd₁₋ₓErₓVO₄ systematically tunes lattice parameters and magnetic interactions, effectively optimizing the low-temperature magnetocaloric performance for cryogenic refrigeration, with the Gd₀.₉Er₀.₁VO₄ composition achieving a maximum magnetic entropy change of 45.1 J kg⁻¹ K⁻¹ under a 7 T field.

Ming Zeng, Muqing Su, Liang Ming, Xiaolong Yang, Wang Chen, Lingwei Li, Hai-Feng Li2026-06-09✓ Author reviewed ⓘ
🔬 mesoscale physics

Valley Engineering in Bilayer WSe2_2 Gate-All-Around Transistors

This paper demonstrates that bilayer WSe2_2 is the optimal channel for valley-engineered gate-all-around transistors because its near-thermal K-Γ\Gamma valley degeneracy at room temperature enables simultaneous enhancement of on-current and suppression of off-current via strain, while maintaining a subthreshold swing near the thermionic limit.

Katsunori Wakabayashi, Souren Adhikary, Kazuhito Tsukagoshi2026-06-09
🔬 materials science

Artificial Intelligence for Instability in Inorganic Perovskites: From Mechanism Discovery to Engineering Strategies

This review outlines how artificial intelligence can overcome current limitations in studying the instability of 3D all-inorganic halide perovskites by structuring research into four key tasks—stability diagnosis, mechanism analysis, reliability modeling, and engineering enhancement—while proposing future directions for standardized data, interpretable models, and integrated automated experimentation.

Xue Zhao, Chuan-Xin Cui, Zi-Hao Xu, Yuan-Long Pang, Jun-Jie Li, Jin-Wu Jiang2026-06-09
🔬 mesoscale physics

Layer-parity-defined surface polarization in Nb3_3Cl8_8 for excitonic modulation at van der Waals interfaces

This study demonstrates that the layer-parity-dependent surface polarization in Nb3_3Cl8_8, arising from its intrinsic breathing kagome lattice symmetry breaking, enables direct control over adjacent excitonic emission in van der Waals heterostructures through tunable interfacial band alignment and charge transfer.

Xinyue Huang, Hansheng Xu, Yuchen Gao, Yushen Zhou, Zhijie Ma, Kenji Watanabe, Takashi Taniguchi, Zuxin Chen, Jianqi Hua (…)2026-06-09
🔬 materials science

Hydride formation and phase separation in palladium nanoparticles from a transferable atomic cluster expansion potential

This paper introduces a transferable atomic cluster expansion potential for the palladium-hydrogen system that achieves near-DFT accuracy and enables efficient, large-scale molecular dynamics simulations of PdHx_x nanoparticles, successfully resolving their nanoscale phase separation, size-dependent lattice expansion, and hydrogen-induced melting point depression.

Minaam Qamar, Apinya Ngoipala, Matous Mrovec, Matthias Vandichel, Ralf Drautz2026-06-09
🔬 materials science

\textit{\textbf{First-principles}} description of pumped inelastic X-ray scattering: example of K-edge RIXS in graphite

This paper presents an *ab initio* framework combining the Bethe-Salpeter equation and real-time time-dependent density-functional theory to predict time-resolved resonant inelastic X-ray scattering (RIXS) in optically pumped materials, demonstrating its accuracy by successfully modeling angular-dependent K-edge RIXS spectra in graphite at various delay times.

Elias Richter, Benedikt Maurer, Claudia Draxl2026-06-09
🔬 materials science

Predicting Physical and Physical-Chemical Properties of Molecular-Based Materials Using Computational Neural Networks

This paper presents a computational neural network scheme that encodes molecular structures into numerical vectors to accurately predict a wide range of thermodynamic, physical, and physical-chemical properties of organic and polymeric materials, thereby enabling a "computational synthesis" approach for materials design.

Andrei A. Gakh, Bobby G. Sumpter, Donald W. Noid2026-06-09