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.

🔬 optics

Projection-based coupling of infrared thermography and stereocorrelation-based digital image correlation

This paper proposes a projection-based coupling method that utilizes a pinhole camera model and radial basis functions to accurately map infrared thermography temperature data onto 3D surface coordinates from stereocorrelation-based digital image correlation, enabling full-field analysis of deformation and thermal gradients on curved surfaces.

Jendrik-Alexander Tröger, Lutz Müller-Lohse, Stefan Hartmann2026-06-30
🔬 materials science

Structural properties of one-dimensional Cs2CoCl4\mathrm{Cs}_2\mathrm{CoCl}_4 confined within single-walled carbon nanotubes

This study demonstrates that confining Cs2CoCl4\mathrm{Cs}_2\mathrm{CoCl}_4 within single-walled carbon nanotubes induces unique tetragonal and orthorhombic polymorphs with preserved Co2+\mathrm{Co}^{2+} magnetic properties, revealing 1D confinement as a distinct mechanism for structural manipulation compared to high-pressure methods.

Jaskaran S. Mangat, Yu Lei, Matthew Weyland, Yisong Han, Kiran Bal, Martin R. Lees, Craig I. Hiley, Piotr DłuĊewski, Sła (…)2026-06-30
🔬 materials science

On Surrogate Modeling of Static Response of AM Short-Fiber Thermoplastics Using Graph Neural Networks

This paper proposes a physics-informed, hybrid Graph Neural Network-Long Short-Term Memory (GNN-LSTM) surrogate model that accurately and efficiently predicts the nonlinear mechanical behavior of additively manufactured short-fiber thermoplastic composites by encoding microstructural topology and damage evolution, thereby overcoming the computational limitations of traditional finite element analysis for digital twin development.

Pharindra Pathak (Auburn University, Oakridge National Lab, NASA Glenn Research Center, Auburn University, Auburn Univer (…)2026-06-30
🔬 optics

Peculiarities Of High-Speed Dynamics Of Two-Photon Absorption In Si Nanowire Waveguides

This paper challenges the conventional model of two-photon absorption in silicon nanowire waveguides by using three high-speed measurement techniques to reveal significant discrepancies between nonlinear photon absorption, electron excitation, and free-carrier generation, indicating complex, multi-pathway dynamics where most excited electrons recombine rapidly rather than contributing to long-lived free carriers.

Vadym Zayets, Siim Heinsalu, Akihiro Noriki2026-06-30
🔬 materials science

Real-space identification of distinct magnetic configurations in a candidate d-wave altermagnet

By employing spin-polarized scanning tunneling microscopy and magnetic-field-dependent quasiparticle interference imaging, this study resolves the magnetic origin of momentum-dependent spin splitting in the candidate d-wave altermagnet KV2Se2O by identifying coexisting C-type and G-type magnetic configurations and establishing a direct link between real-space magnetic order and momentum-space electronic signatures.

Jin-Cheng Gu, Mingzhe Hu, Ziyin Song, Lihan Wang, Lihong Wang, Junming Zhang, Jiali Zhao, Hang Li, Shifeng Jin, Xin-Ding (…)2026-06-30
🔬 materials science

Geometric Algebra Meets Cartesian Tensors: Higher-Order Equivariance for Interatomic Potentials

This paper introduces CliffordSTF, a novel interatomic potential that overcomes the directional inaccuracy of standard Cl(3,0)\mathrm{Cl}(3,0) geometric algebra models by coupling multivectors with symmetric-traceless tensor tracks, thereby achieving state-of-the-art performance in force direction and energy prediction across molecular and catalysis benchmarks without relying on Clebsch–Gordan coefficients or Wigner-DD matrices.

Can Polat, Erchin Serpedin, Mustafa Kurban, Hasan Kurban2026-06-30
🔬 atomic physics

STEMGym: Benchmarking Sequential Decision-Making under Dose Budgets in Autonomous Electron Microscopy

This paper introduces STEMGym, a benchmark demonstrating that in autonomous scanning transmission electron microscopy, optimizing the perception pipeline yields significantly greater dose efficiency than employing advanced adaptive navigation strategies, thereby reframing where machine learning efforts should be prioritized.

Can Polat, Erchin Serpedin, Mustafa Kurban, Hasan Kurban2026-06-30
🔬 mesoscale physics

Length--Velocity Gauge Equivalence of Quantum Geometric Nonlinear Conductivity

This paper resolves the conceptual ambiguity regarding intrinsic second-order dc nonlinear conductivity by establishing a gauge-consistent density-matrix theory that proves the equivalence of length and velocity gauges, demonstrating that the adiabatic response is a purely Fermi-surface quantum geometric contribution determined by the band-normalized quantum metric, which vanishes in fully gapped insulators.

Shakeel Ahmad, Fei Xue2026-06-30