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

Staged emergence of anomalous Hall transport in a correlated uranium Weyl semimetal

This study reveals that in the uranium Weyl semimetal UPS, strong electronic correlations and magnetic order drive a staged emergence of anomalous Hall transport, where a pronounced redistribution of 5f5f spectral weight below 90 K—distinct from the magnetic ordering at 118 K—reshapes the topological states to produce a large intrinsic anomalous Hall conductivity.

Sabin Regmi, Shuxiang Zhou, Chandan K. Singh, Alexei Fedorov, Jonathan Denlinger, Zeyu Ma, Yidi Wang, Jennifer E. Hoffma (…)2026-09-22
🔬 materials science

Stability, electronic quantum states, and magnetic interactions of Er3+^{3+} ions in Ga2_2O3_3

This study employs hybrid functional calculations to comprehensively investigate the structural, electronic, and magnetic properties of Er3+^{3+}-doped α\alpha- and β\beta-Ga2_2O3_3, revealing distinct ground states (antiferromagnetic vs. ferromagnetic) and confirming that the material's 4ff transition energy of approximately 1.53 μ\mum aligns with quantum telecommunication requirements.

Yogendra Limbu, Hari Paudyal, Michael E. Flatté, Durga Paudyal2026-09-21
🧬 biology

Transformers Discover Molecular Structure Without Graph Priors

This paper demonstrates that general-purpose Transformer models, when trained without explicit graph-based physical priors, can autonomously discover key molecular structures and interaction patterns from data alone, achieving accuracy competitive with physics-informed architectures and suggesting that such inductive biases may be learnable rather than strictly necessary.

Tobias Kreiman, Yutong Bai, Fadi Atieh, Elizabeth Weaver, Eric Qu, Aditi S. Krishnapriyan2026-09-21
🔬 materials science

Mechanism of charge transfer and electrostatic field fluctuations in complex metallic alloys

This paper establishes a theoretical framework and validates it with DFT calculations to reveal universal Gaussian statistics and linear charge-potential correlations in complex metallic alloys, providing a computationally efficient foundation for predicting disorder-driven electrostatic fluctuations and guiding the design of advanced materials.

Wai-Ga D. Ho, Wasim Raja Mondal, Swarnava Ghosh, Hanna Terletska, Ka-Ming Tam, Mariia Karabin, Markus Eisenbach, Yang Wa (…)2026-09-21
🔬 materials science

The Critical Role of Itinerant Contributions to Orbital Angular Momentum Relaxation and Dynamics

This study resolves the discrepancy between theoretical predictions and experimental observations of orbital angular momentum (OAM) relaxation by demonstrating, through first-principles simulations of MoS2 and silicene, that itinerant OAM contributions are essential for accurately describing long diffusion lengths, as atom-centered models fail to capture these effects and significantly underestimate OAM lifetimes.

Andrew C. Grieder, Luis M. Canonico, Frederico Simões, Aron W. Cummings, Yuan Ping2026-09-21
🔬 applied physics

Single Best Fits Can Be Misleading: Resolving Common Trapping Signatures across FA--Cs Perovskites

By combining fluence-dependent photoluminescence, Shockley-Read-Hall modeling, and Bayesian inference across FA1−x_{1-x}Csx_xPbI3_3 perovskites, this study reveals that trap filling resolves parameter degeneracies to identify universal non-radiative recombination signatures (TβT\beta and TαT\alpha) and composition-specific defects (TϵT\epsilon), thereby establishing a robust framework for comparing trapping behaviors in semiconducting materials.

Maxim Simmonds, Katarzyna Pydzińska-Białek, Thomas C. Rossi, Mostafa Othman, Aïcha Hessler-Wyser, Christian Wolff, Chris (…)2026-09-21