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

Momentum-Resolved Electronic Structure and Orbital Hybridization in the Layered Antiferromagnet CrPS4_4

This study combines momentum-resolved photoemission spectroscopy and DFT+U calculations to experimentally characterize the electronic band structure of the layered antiferromagnet CrPS4_4, revealing a ligand-to-metal charge-transfer gap and distinct orbital hybridization patterns that govern its magnetic and optical properties.

Lasse Sternemann, David Maximilian Janas, Eshan Banerjee, Richard Leven, Jonah Elias Nitschke, Marco Marino, Leon Becker (…)2026-06-09
🔬 materials science

A large-scale nanocrystal database with aligned synthesis and properties enabling generative inverse design

This paper introduces a large-scale, aligned Nanocrystal Synthesis-Property database constructed using the LLM-enhanced NanoExtractor tool, which enables the generative inverse design of viable nanocrystal synthesis routes through the NanoDesigner model, successfully validated by experimental confirmation of both established and novel nanocrystal formulations.

Kai Gu, Yingping Liang, Senliang Peng, Aotian Guo, Haizheng Zhong, Ying Fu2026-06-09
🔬 materials science

Enhancing Spatial Reasoning in Large Language Models for Metal-Organic Frameworks Structure Prediction

The paper introduces MOF-LLM, a novel framework that enhances the spatial reasoning capabilities of a Qwen-3 8B language model through spatial-aware continual pre-training, supervised fine-tuning, and reinforcement learning to achieve state-of-the-art, high-efficiency block-level 3D structure prediction for Metal-Organic Frameworks.

Mianzhi Pan, JianFei Li, Peishuo Liu, Botian Wang, Yawen Ouyang, Yiming Rong, Hao Zhou, Jianbing Zhang2026-06-09
🔬 materials science

MatMind: A Structure-Activity Knowledge-Driven Generative Foundation Model for Materials Science

MatMind is a unified generative foundation model for crystal materials science that integrates structure-activity knowledge and physics-informed feedback to surpass specialized narrow architectures in both property prediction and crystal generation tasks.

Zhan'ao Yao, Boxuan Zhang, Jingyuan Shu, Xiaoyu Wu, Rongyan Wang, Linjing Li, Dajun Zeng, Yudong Yao, Tingwei Chen, Youw (…)2026-06-09
🔬 optics

An ultra-wide-bandgap semiconductor photodetector for linear measurement of bright sub-bandgap light

This paper demonstrates that sub-bandgap AlN photodetectors, engineered with specific dopant designs and contact structures to create a narrow space charge region, achieve non-saturating, linear responses to ultra-bright blue light and elevated temperatures by leveraging deep-level defect-mediated photoresponse, thereby enabling reliable sensing in extreme industrial and aerospace environments.

Jiahao Dong, Zhenjing Liu, Rafael Jaramillo2026-06-09
🔬 materials science

Agentic multi-fidelity learning of quasiparticle and excitonic properties

This paper introduces an agent-guided multi-fidelity learning framework that employs a structural agent to diagnose numerical instabilities in GW-Bethe-Salpeter calculations and applies machine learning corrections to accurately predict quasiparticle and excitonic properties in strained MoS2-WS2 bilayers, demonstrating that explicit detection of numerical fragility is essential for reliable surrogate modeling of excited-state materials.

Arnab Neogi, Aaron Forde, Christopher A. Lane, Sergei Tretiak, Jian-Xin Zhu2026-06-09
🔬 condensed matter

Phase Formation and Thermal Stability of Superconducting Platinum Silicide Thin Films on Silicon

This study demonstrates that phase-pure, superconducting platinum silicide (PtSi) thin films with stable microstructures and consistent properties can be rapidly formed on silicon via thermal processing at 600°C, establishing a robust fabrication window for CMOS-compatible quantum devices while identifying interfacial roughening as an intrinsic consequence of the phase conversion rather than thermal degradation.

Tharanga R. Nanayakkara, Ananya Chattaraj, Mingzhao Liu, Charles T. Black2026-06-09
🔬 materials science

Elusive Exciton Insulator States in 1T-HfTe2: Exciton softening, and Symmetry Breaking by Ab Initio Methods

This study utilizes advanced ab initio calculations and symmetry-breaking analyses to demonstrate that excitonic insulator states spontaneously form in monolayer and bilayer 1T-HfTe2 due to negative exciton energies, while remaining absent in trilayer and bulk forms, with theoretical predictions aligning well with experimental observations.

Hong Tang, Niraj Pangeni, Daniel D. Rivera, Adrienn Ruzsinszky2026-06-09
🔬 materials science

Post Annealing Crystallization behavior of RF Sputtered Yttrium Iron Garnet thin films on Si/SiO2 patterned substrates

This paper investigates the post-annealing crystallization behavior of RF-sputtered Yttrium Iron Garnet (YIG) thin films on patterned and non-patterned Si/SiO2 substrates to establish a fabrication route for suspended magnonic devices, while noting that further stoichiometry optimization is needed for fully released structures.

Maria Roman, Tito Busani, Aleem Siddiqui2026-06-09
🔬 materials science

Wafer-scale Demonstration of High-voltage beta-Ga2O3 MOSFETs with Excellent Uniformity and over 3kV Breakdown Voltages

This study demonstrates the wafer-scale fabrication of highly uniform, high-voltage lateral β\beta-Ga2_2O3_3 MOSFETs on a 2-inch MOCVD-grown epitaxial wafer, achieving breakdown voltages exceeding 3 kV and excellent device consistency suitable for next-generation power applications.

Ningtao Liu, Hengrui Zhang, Shujun Zhu, Zhihao Yan, Dongyang Han, Shen Hu, Li Ji, Ning Xia, Jichun Ye, Wenrui Zhang2026-06-09