cond-mat.mtrl-sci 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.

🔬 mesoscale physics

Localized-basis formulation of interacting Hamiltonians in flat topological bands: coherent states and coherent-like states for fractional physics

This paper proposes a unified framework for describing fractional quantum Hall systems and fractional Chern insulators by extending the concept of coherent states to Chern bands via "coherent-like states," enabling the construction of a localized-basis Hamiltonian that exhibits topological degeneracy and zero-energy ground states across both systems.

Nobuyuki Okuma2026-02-17

🔬 applied physics

Quantitative models for excess carrier diffusion and recombination in STEM-EBIC experiments on semiconductor nanostructures

This paper presents a quantitative model combining analytical and finite element approaches to analyze excess carrier diffusion and recombination in STEM-EBIC experiments on semiconductor nanostructures, successfully demonstrating its ability to precisely determine the bulk diffusion length of SrTi0.995Nb0.005O3.

Tobias Meyer, Christoph Flathmann, David A. Ehrlich, Patrick Paap-Peretzki, Jonas Lindner, Christian Jooß, Michael Seibt2026-02-17

🔬 materials science

From interface-limited to Auger-dominated carrier dynamics in $π$ -SnS

Using element-specific attosecond transient absorption spectroscopy, this study reveals that carrier dynamics in metastable cubic $\pi$ -SnS transition from interface-limited recombination at low densities to Auger-dominated processes at high densities, while also demonstrating strong coupling between electronic excitation and coherent lattice phonons.

Hugo Laurell, Kevin Xiong, Nedjma Ouahioune, Thomas Kjellberg Jensen, Jonah R. Adelman, Kylie J. Gannan, Rafael Quintero (…)2026-02-17

🔬 materials science

Magnetic skyrmion lattice disclinations in pentagon- and heptagon-shaped FeGe crystals

This study reports the stabilization and characterization of five-fold and seven-fold magnetic skyrmion lattice disclinations in pentagon- and heptagon-shaped FeGe nanocrystals, combining experimental imaging with micromagnetic simulations and analytical models to explore these previously unexplored angular defects.

Thibaud Denneulin, Nikolai S. Kiselev, Vladyslav M. Kuchkin, Rafal E. Dunin-Borkowski2026-02-17

🔬 materials science

Stacking-Tunable Electronic Properties in Recently Synthesized Hydrogen-Substituted Graphdiyne

This study employs first-principles calculations to demonstrate that hydrogen-substituted graphdiyne (HsGDY) is a thermally robust, indirect semiconductor with a 0.89 eV band gap in its energetically favorable AA stacking configuration, exhibiting strong visible-to-UV optical absorption that positions it as a promising candidate for next-generation optoelectronic and energy-harvesting applications.

Guilherme S. L. Fabris, Raphael B. de Oliveira, Bruno Ipaves, Marcelo L. Pereira Junior, Douglas S. Galvao2026-02-17

🔬 materials science

Ilmenite-Type Ca $_x$ IrO $_3$ via Topochemical Ion Exchange: Stacking Faults and Low-Temperature Magnetic Anomaly

This study reports the synthesis of a nonstoichiometric, ilmenite-type Ca $_x$ IrO $_3$ polymorph via topochemical ion exchange, characterizing its quantifiable stacking faults and identifying a low-temperature magnetic anomaly associated with $J_{\rm eff}=1/2$ Ir $^{4+}$ moments.

Haruki Kira, Yuya Haraguchi, Wataru Yokoshima, Daisuke Nishio-Hamane, Hiroko Aruga Katori2026-02-17

🔬 materials science

Why is the $d$ -Wave spin splitting in CuF $_2$ bulk-like?

This study reveals that the unique bulk-like $d$ -wave spin splitting in CuF $_2$ , distinguishing it from other transition-metal difluorides, is driven by antipolar fluorine ion displacements that introduce an additional magnetic octupole component, thereby offering a pathway to control nonrelativistic spin splitting through structural modifications.

Muskan, Subhadeep Bandyopadhyay, Sayantika Bhowal2026-02-17

🔬 materials science

On the challenge of simulating dipolar contributions to spin relaxation with generalized cluster correlation expansion methods

This paper demonstrates that the standard generalized Cluster-Correlation Expansion (gCCE) method fails to provide even a qualitatively accurate description of spin-spin relaxation at low temperatures, and offers a mathematical deconstruction of the theory to identify the root causes of this breakdown for future resolution.

Conor Ryan, Alessandro Lunghi2026-02-17

🔬 mesoscale physics

A scalable non-superconducting tunnel junction technology

This paper presents a scalable, CMOS-compatible non-superconducting tunnel junction technology based on TiW alloy and AlOx barriers, which overcomes the integration limitations of previous methods and demonstrates robust performance in cryogenic applications down to 20 mK.

Juho Luomahaara, Kristupas Razas, Omid Sharifi Sedeh, Renan P. Loreto, Janne S. Lehtinen, Mingchi Xu, Armel A. Cotten, A (…)2026-02-17

🔬 materials science

Data-Efficient Machine learning for Predicting Dopant Formation Energies in TiO $_2$ Monolayer

This study demonstrates that combining density functional theory with physically informed descriptors enables accurate and chemically transferable machine learning predictions of dopant formation energies in TiO $_2$ monolayers, even when trained on small, well-curated datasets.

Kati Asikainen, Matti Alatalo, Marko Huttula, Assa Aravindh Sasikala Devi2026-02-17

← Previous Next →

cond-mat.mtrl-sci

Localized-basis formulation of interacting Hamiltonians in flat topological bands: coherent states and coherent-like states for fractional physics

Quantitative models for excess carrier diffusion and recombination in STEM-EBIC experiments on semiconductor nanostructures

From interface-limited to Auger-dominated carrier dynamics in πππ-SnS

Magnetic skyrmion lattice disclinations in pentagon- and heptagon-shaped FeGe crystals

Stacking-Tunable Electronic Properties in Recently Synthesized Hydrogen-Substituted Graphdiyne

Ilmenite-Type Cax_xx​IrO3_33​ via Topochemical Ion Exchange: Stacking Faults and Low-Temperature Magnetic Anomaly

Why is the ddd-Wave spin splitting in CuF2_22​ bulk-like?

On the challenge of simulating dipolar contributions to spin relaxation with generalized cluster correlation expansion methods

A scalable non-superconducting tunnel junction technology

Data-Efficient Machine learning for Predicting Dopant Formation Energies in TiO2_22​ Monolayer

From interface-limited to Auger-dominated carrier dynamics in $π$ -SnS

Ilmenite-Type Ca $_x$ IrO $_3$ via Topochemical Ion Exchange: Stacking Faults and Low-Temperature Magnetic Anomaly

Why is the $d$ -Wave spin splitting in CuF $_2$ bulk-like?

Data-Efficient Machine learning for Predicting Dopant Formation Energies in TiO $_2$ Monolayer