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.

Layer-mediated tuning of spin and valley physics in stacked tetragonal altermagnetic bilayers

This study demonstrates that interlayer sliding and external electric fields can tune the spin and valley degrees of freedom in stacked tetragonal altermagnetic bilayers by manipulating symmetry constraints, thereby enabling the control of magnetic states and enhanced tunneling magnetoresistance for spintronic and valleytronic applications.

Jianke Tian, Xiaowen Zhou, Gui-Bin Liu2026-04-23🔬 cond-mat.mtrl-sci

Crystal structure prediction with nuclear quantum and finite-temperature effects via deep free energy learning

This paper introduces a deep free energy learning framework that leverages the mathematical similarity between the self-consistent harmonic approximation free energy surface and potential energy surfaces to enable efficient, high-throughput crystal structure prediction incorporating finite-temperature and nuclear quantum effects, successfully identifying stable hydride structures in the La-Sc-H system with a million-fold reduction in computational cost compared to traditional methods.

Xiaoyang Wang, Yinan Wang, Wenbo Zhao, Hanyu Liu, Hao Xie, Lei Wang, Han Wang2026-04-23🔬 cond-mat.mtrl-sci

Domain-Wall-Mediated Ultralow-Barrier Sliding and Pinning in Ferroelectric Moiré Superlattices Revealed by Machine Learning

This study employs machine-learning molecular dynamics to reveal that thermally driven interlayer sliding in ferroelectric MoS₂ moiré superlattices occurs via a domain-wall-mediated, ultralow-barrier collective reconstruction pathway rather than rigid translation, and that minimal sulfur vacancies can trigger a transition from long-range sliding to localized pinning.

Jia-Wen Li, Sheng Meng, Xinghua Shi, Jin Zhang, Wei-Hai Fang2026-04-23🔬 cond-mat.mtrl-sci

LLM-guided phase diagram construction through high-throughput experimentation

This study demonstrates that large language models can effectively guide high-throughput experimentation to construct ternary phase diagrams, with a domain-specific LLM excelling at discovering complex interior phases and a general-purpose LLM efficiently identifying a broader range of phases through a textbook-like approach.

Ryo Tamura, Haruhiko Morito, Yuna Oikawa, Guillaume Deffrennes, Shoichi Matsuda, Naruki Yoshikawa, Tomoaki Takayama, Taichi Abe, Koji Tsuda, Kei Terayama2026-04-23🔬 cond-mat.mtrl-sci

Multilayer Laue Lenses for Enhanced Spatial Resolution in Dark-Field X-ray Microscopy

This paper demonstrates that using crossed Multilayer Laue Lenses (MLLs) as objectives in Dark-Field X-ray Microscopy significantly enhances spatial resolution to 56 nm and increases numerical aperture by a factor of three compared to compound refractive lenses, thereby expanding the technique's capabilities for high-resolution bulk and near-surface imaging.

Steffen Staeck, Can Yildirim, Raquel Rodriguez-Lamas, Thomas Dufrane, Carsten Detlefs, Nis Gellert, Antonella Gayoso Padula, Henning Friis Poulsen2026-04-23🔬 cond-mat.mtrl-sci

Fluctuation-driven multi-step charge density wave transition in monolayer TiSe2_2

Using large-scale molecular dynamics simulations with machine-learning potentials, this study reveals that monolayer TiSe2_2 undergoes a fluctuation-driven, two-step CDW melting process characterized by topological defects and anisotropic thermal fluctuations that stabilize a chiral 3Q3Q order, demonstrating that its complex physics can be explained without invoking excitonic correlations.

Luka Benic, Dino Novko, Ivor Lončaric2026-04-23🔬 cond-mat.mtrl-sci

Second-order topology in two-dimensional azulenoid kekulene carbon lattices

Based on first-principles calculations, this study demonstrates that two-dimensional azulenoid-kekulene carbon lattices (AKC-[3,3] and AKC-[6,0]) exhibit a robust second-order topological insulator phase characterized by C6C_6 symmetry-protected fractional corner charges and exotic corner states, establishing them as promising platforms for exploring higher-order topology in carbon allotropes.

Xiaorong Zou, Hyeon Suk Shin, Chang-Jong Kang, Baibiao Huang, Ying Dai, Chengwang Niu, Chang Woo Myung2026-04-23🔬 cond-mat.mtrl-sci