🔬 Category

cond-mat.mtrl-sci

3499 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.

Quantum Geometry, Fractionalization, and Provability Hierarchy: A Unified Framework for Strongly Correlated Systems

This paper proposes a unified framework for strongly correlated systems that redefines Mott physics through five pioneering discoveries, including golden-ratio scaling of quantum metrics, Fibonacci-sequenced fractional Chern insulators, a Provability Hierarchy Theorem linking strange metals to QMA-hard complexity, geometric-phase-induced nonlinear Hall oscillations, and the quantum geometric tensor as a unified descriptor of band geometry and topology.

Zhanchun Li, Renwu Zhang2026-04-15🔬 cond-mat

XANE(3): An E(3)-Equivariant Graph Neural Network for Accurate Prediction of XANES Spectra from Atomic Structures

The paper introduces XANE(3), an E(3)-equivariant graph neural network that accurately predicts X-ray absorption near-edge structure (XANES) spectra directly from atomic structures by combining tensor-product message passing with a derivative-aware training objective, achieving high fidelity in reproducing spectral features on a large iron oxide dataset.

Vitor F. Grizzi, Luke N. Pretzie, Jiayi Xu, Cong Liu2026-04-15🔬 cond-mat.mtrl-sci

Fault-tolerant simulation of the electronic structure using Projector Augmented-Waves and Bloch orbitals

This paper introduces the Bloch-UPAW framework, a fault-tolerant quantum simulation method combining Bloch orbitals with unitary projector-augmented waves to efficiently model strongly correlated periodic materials, offering improved resource scaling and a significant reduction in Toffoli gate costs compared to prior approaches for periodic solids.

Rishabh Bhardwaj, Alexander Reed Muñoz, Travis E. Jones, John Golden2026-04-15⚛️ quant-ph

Polymer-free van der Waals assembly of 2D material heterostructures using muscovite crystals

This paper introduces a polymer-free method for assembling 2D material heterostructures using temperature-controlled muscovite crystals, which enables deterministic, contamination-free transfer and stacking to facilitate the automated fabrication of pristine van der Waals devices.

Ian Babich, Timofey M. Savilov, Natalia A. Mamchik, Kristina Vaklinova, Nansi Zhou, Denis S. Baranov, Dmitrii A. Litvinov, Virgil Gavriliuc, Yue Yuan, Amoz Chua, Kenji Watanabe, Takashi Taniguchi, Mar (…)2026-04-15🔬 cond-mat.mes-hall

Enhancing Laser Surface Texturing through Advanced Machine Learning Techniques

This paper demonstrates how advanced machine learning techniques, such as neural networks and random forests, can overcome the complex, nonlinear challenges of laser surface texturing by accurately predicting surface roughness and enabling faster, data-driven process optimization without relying solely on extensive empirical experimentation or expert knowledge.

Christoph Zwahr, Frederic Schell, Tobias Steege, Andrés Fabián Lasagni2026-04-15🔬 cond-mat.mtrl-sci

Gate-Reconfigurable Single- and Double-Dot Transport in Trilayer MoSe2

This paper demonstrates that trilayer MoSe2 devices with a multi-gate architecture can be electrically reconfigured to transition from single-dot to double-dot transport regimes by tuning the backgate voltage, enabling the study of non-equivalent quantum dots with tunable coupling.

Seungwoo Lee, Minjun Park, Yunsang Noh, Sung Jin An, Soyun Kim, Minseo Cho, Dohun Kim, Takashi Taniguchi, Kenji Watanabe, Minkyung Jung, Youngwook Kim2026-04-15🔬 cond-mat.mes-hall

Depth-Resolved Thermal Conductivity of HFCVD Diamond Films via Square-Pulsed Thermometry

This study utilizes square-pulsed source thermometry combined with microstructural analysis to reveal that the thermal conductivity of HFCVD diamond films on SiC substrates increases significantly from ~60 to ~200 W m⁻¹ K⁻¹ from the nucleation interface to the surface, directly correlating with grain coarsening and offering critical insights for optimizing thermal management in high-power electronics.

Kexin Zhang, Xiaosong Han, Ershuai Yin, Xin Qian, Junjun Wei, Puqing Jiang2026-04-15🔬 cond-mat.mtrl-sci