🔬 Category

cond-mat.mtrl-sci

4007 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.

🔬 materials science

Response-function-optimized phase field modeling of solute trapping and solute drag in rapid alloy solidification

This paper introduces an optimization-based calibration strategy for phase field modeling that embeds target sharp-interface response functions into dilute alloy simulations by treating interfacial diffusivity as a tunable parameter, thereby enabling accurate quantitative prediction of solute trapping, solute drag effects, and resulting microstructural transitions in rapidly solidified multicomponent alloys.

Joni Kaipainen, Tatu Pinomaa, Nikolas Provatas2026-07-21
🔬 mesoscale physics

Symmetry-isolated magnetoelectric electro-optic effects in noncentrosymmetric metals

This paper identifies 11 space groups in noncentrosymmetric metals where the Berry curvature dipole and gyrotropic magnetic tensor vanish by symmetry, isolating the magnetoelectric electro-optic effect driven by the G\mathbf{G} tensor and proposing an oblique-incidence experimental geometry to distinguish its unique circular dichroism signature from other optical responses.

C. O. Ascencio, D. J. P. de Sousa, Seungjun Lee, Tony Low2026-07-21
🔬 materials science

Non-equilibrium Effects in Vibrational Modes Pumped by Inelastic Tunneling

Using inelastic electron tunneling microscopy on the hydrogen-adsorbed Pd-terminated surface of the strongly correlated oxide PdCrO2, researchers demonstrated that localized vibrational modes exhibit unusually long lifetimes and distinct non-equilibrium signatures, a phenomenon attributed to the unique properties of the substrate.

Chi Ming Yim, Owain T. Beynon, Seunghyun Khim, Chiara Gattinoni, Peter Wahl2026-07-21
🔬 materials science

d-band filling dictates magnetic stability in Mn- and Co-substituted FeRh alloys

First-principles calculations reveal that dd-band filling serves as the primary control parameter for magnetic stability in Mn- and Co-substituted FeRh alloys, where Mn-induced hole doping triggers itinerant magnetic softness via competing exchange interactions, while Co-induced electron doping acts as a magnetic hardener by stabilizing ferromagnetism through Fermi level pinning within a majority-spin pseudogap.

Greeshma R, Rudra Banerjee2026-07-21
🔬 materials science

Correcting DFT formation energies towards experimental accuracy using foundational MLIPs and latent-feature delta-learning

This paper presents the experimentally focused MC3D database and demonstrates that combining foundational machine learning interatomic potentials with latent-feature delta-learning significantly corrects DFT formation energies, reducing errors to experimental uncertainty levels while preserving relative phase stability.

Timo Reents, Marnik Bercx, Giovanni Pizzi2026-07-21
🔬 materials science

Study of ordering in (MoCrTi)100−x_{100-x}Alx_x refractory high-entropy alloys using machine learning interatomic potential

This study employs machine learning interatomic potentials combined with hybrid Monte Carlo and molecular dynamics simulations to reveal that chemical ordering in (MoCrTi)100−x_{100-x}Alx_x refractory high-entropy alloys exhibits distinct temperature-dependent transition behaviors and significantly enhances mechanical stiffness through an optimized population of stiff atomic pairs, offering critical insights for alloy design.

Jiyao Zhang, Klemens Lechner, Markus Maßwohl, Petra Spoerk-Erdely, David Holec2026-07-21