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.

Band gap renormalization, carrier mobility, and transport in Mg2_{2}Si and Ca2_{2}Si: \textit{Ab initio} scattering and Boltzmann transport equation study

This study employs first-principles electron-phonon interaction calculations and the Boltzmann transport equation to comprehensively analyze the temperature-dependent band gaps, carrier mobilities, and thermoelectric transport properties of Mg2_2Si and Ca2_2Si, demonstrating that accurately accounting for electron-phonon scattering is critical for predicting experimental mobility and thermoelectric performance while identifying nanostructuring as a viable strategy to enhance their figure of merit.

Vinod Kumar Solet, Sudhir K. Pandey2026-04-07🔬 physics.app-ph

Atomistic mechanism and interface-structure-energetics of van der Waals epitaxy demonstrated by layered alpha-MoO3 growth on mica

This study elucidates the atomistic mechanism of van der Waals epitaxy for α\alpha-MoO3_3 on mica by combining experimental characterization of stress-free, multi-oriented growth with ab initio calculations that identify specific Mo-K proximity as the key driver for interface energetics, thereby establishing a predictive framework for designing stress-free epitaxial films of layered materials.

Faezeh A. F. Lahiji, Davide G. Sangiovanni, Biplab Paul, Justinas Palisaitis, Per O. A. Persson, Arnaud le Febvrier, Ganpati Ramanath, Per Eklund2026-04-07🔬 cond-mat.mtrl-sci

Many-body \textit{ab initio} study of quasiparticles, optical excitations, and excitonic properties in LiZnAs and ScAgC for photovoltaic applications

This study employs first-principles many-body calculations to demonstrate that the half-Heusler compounds LiZnAs and ScAgC are direct bandgap semiconductors with strong optical absorption, Mott-Wannier excitons, and high theoretical solar efficiencies (31–32%), making them promising candidates for thin-film photovoltaic applications.

Vinod Kumar Solet, Sudhir K. Pandey2026-04-07🔬 cond-mat.mtrl-sci

Composition Design of Shape Memory Ceramics based on Gaussian Processes

This study demonstrates that while Gaussian process machine learning effectively predicts lattice parameters and compositions for ZrO2_2-based shape memory ceramics, the metal alloy-derived design criteria used to identify a low-hysteresis candidate failed to account for critical ceramic-specific factors, resulting in a composition with unexpectedly high thermal hysteresis.

Ashutosh Pandey, Justin Jetter, Hanlin Gu, Eckhard Quandt, Richard D. James2026-04-07🔬 cond-mat.mtrl-sci

Electron-electrolyte coupling in AC transport through nanofluidic channels

This paper investigates AC-driven transport in nanofluidic channels to reveal how capacitive coupling between channel wall electrons and electrolyte ions creates distinct frequency-dependent signatures, modifies electro-osmotic flows, and establishes a comprehensive transport matrix linking ionic, electronic, and hydrodynamic phenomena.

Baptiste Coquinot, Mathieu Lizée, Lydéric Bocquet, Nikita Kavokine2026-04-07🔬 cond-mat.mes-hall

High-throughput computational framework for lattice dynamics and thermal transport including high-order anharmonicity: an application to cubic and tetragonal inorganic compounds

This paper presents a high-throughput computational framework that integrates higher-order anharmonic effects, including phonon renormalization and four-phonon scattering, to accurately predict lattice thermal conductivity across 773 inorganic compounds, revealing that while standard methods suffice for many materials, these advanced corrections are critical for identifying extreme thermal behaviors in highly anharmonic systems.

Zhi Li, Huiju Lee, Chris Wolverton, Yi Xia2026-04-07🔬 cond-mat.mtrl-sci