🔬 Category

cond-mat.mtrl-sci

2830 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.

First-Principles Investigation of the Pressure Dependent Physical Properties of Intermetallic Kagome ZrRe2

This study employs density functional theory to comprehensively investigate the pressure-dependent structural, electronic, mechanical, thermophysical, vibrational, and optical properties of the intermetallic Kagome compound ZrRe2, revealing its stability up to 25 GPa, the pressure-induced vanishing of topological features, a potential charge density wave phase, and a decrease in superconducting transition temperature due to weakened electron-phonon coupling.

Mst. Irin Naher, A. F. M. Yusuf Haider, Dholon Kumar Paul, Md Lutfor Rahman, Firoze H. Haque, Saleh Hasan Naqib2026-03-18🔬 cond-mat.mtrl-sci

Advances in the Fabrication of On-chip Superconducting Integral Field Units for CMB and Line-Intensity Astronomy

This paper addresses the fabrication challenges of on-chip superconducting integral field units for CMB and line-intensity astronomy by introducing novel components and techniques—including polarization-sensitive crossovers, optimized lithography, dielectric layer deposition, and yield-improving short removal—to successfully fabricate a fourteen-spaxel spectrometer array.

L. G. G. Olde Scholtenhuis, D. Perez Capelo, K. Karatsu, D. J. Thoen, A. J. van der Linden, S. O. Dabironezare, L. H. Marting, J. J. A. Baselmans, S. Vollebregt, A. Endo2026-03-18🔬 cond-mat.mtrl-sci

Ligand-Controlled Phonon Dynamics in CsPbBr3 Nanocrystals Revealed by Machine-Learned Interatomic Potentials

By employing machine-learned interatomic potentials to overcome the computational limitations of ab initio methods, this study reveals how cationic and anionic surface ligands systematically modulate key phonon modes in CsPbBr3 nanocrystals, offering critical design principles for minimizing nonradiative losses in next-generation optoelectronics.

Seungjun Cha, Chen Wang, Victor Fung, Guoxiang Hu2026-03-18🔬 cond-mat.mtrl-sci

Novelty-Driven Target-Space Discovery in Automated Electron and Scanning Probe Microscopy

This paper introduces BEACON, a deep-kernel-learning framework that enables automated electron and scanning probe microscopy to actively discover novel scientific behaviors in target spaces by learning structure-property relationships during experiments, a method validated through rigorous offline benchmarking and successfully deployed on a scanning transmission electron microscope (STEM).

Utkarsh Pratiush, Kamyar Barakati, Boris N. Slautin, Catherine C. Bodinger, Christopher D. Lowe, Brandi M. Cossairt, Sergei V. Kalinin2026-03-18🔬 cond-mat.mtrl-sci

Phonon collisional broadening and heat transport beyond the Boltzmann equation

This paper rigorously derives a generalized Boltzmann Transport Equation from the Kadanoff-Baym Equations to overcome the limitations of Fermi's Golden Rule by incorporating self-consistent collisional broadening and energy-nonconserving scattering, thereby resolving long-standing convergence issues in 3D crystals and the universal failure of standard methods in 2D systems.

Enrico Di Lucente, Nicola Marzari, Michele Simoncelli2026-03-18🔬 cond-mat.mtrl-sci

What DINO saw: ALiBi positional encoding reduces positional bias in Vision Transformers

This paper demonstrates that finetuning Vision Transformers with ALiBi positional encoding effectively reduces inherent positional biases while preserving general semantic representations, thereby enabling successful zero-shot adaptation and segmentation in direction-independent domains like material science microscopy.

Moritz Pawlowsky, Antonis Vamvakeros, Alexander Weiss, Anja Bielefeld, Samuel J. Cooper, Ronan Docherty2026-03-18🔬 cond-mat.mtrl-sci

Thermoelastic Properties Of The Ti2AlC MAX Phase: An Ab Initio Study

This study utilizes first-principles calculations to demonstrate that the elastic moduli of the Ti2AlC MAX phase undergo significant thermal-induced softening, with bulk and shear moduli reductions of 15–29% and 13–31% respectively, under high-pressure (10–30 GPa) and high-temperature (300–1200 K) conditions.

Bill Clintone Oyomo, Leah Wairimu Mungai, Geoffrey Arusei, Michael Atambo, Mirriam Chepkoech, Nicholas Makau, George Amolo2026-03-17🔬 cond-mat.mtrl-sci

Magnetic ground state of a Jeff = 1/2 based frustrated triangular lattice antiferromagnet

This study identifies Ba4YbReWO12 as a Jeff = 1/2 frustrated triangular lattice antiferromagnet that exhibits a dynamic, disordered ground state with short-range spin correlations down to 43 mK, lacking any signatures of long-range magnetic ordering or spin freezing.

M. Barik, J. Khatua, Suyoung Kim, Eundeok Mun, Suheon Lee, Bassam Hitti, Gerald D. Morris, Kwang-Yong Choi, P. Khuntia2026-03-17🔬 cond-mat.mtrl-sci