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

Quantum Dynamics of Electron Scattering from Skyrmions

This paper investigates the quantum dynamics of Gaussian wavepackets scattering from skyrmions using the time-dependent Schrödinger equation, revealing that iterative spin flipping induces complex angular-dependent cross sections, secondary wavefronts, and long-lived quasi-bound states, while providing a versatile numerical framework for exploring tunable spin transport in arbitrary spin textures.

Hareram Swain, Arijit Mandal, S. Satpathy, B. R. K. Nanda2026-03-03
🔬 materials science

Advancing Universal Deep Learning for Electronic-Structure Hamiltonian Prediction of Materials

This paper introduces NextHAM, a universal deep learning framework combining a novel E(3)-symmetric Transformer architecture and a zeroth-step Hamiltonian correction strategy, alongside a large-scale benchmark dataset (Materials-HAM-SOC), to achieve highly accurate and efficient prediction of electronic-structure Hamiltonians across diverse materials while explicitly accounting for spin-orbit coupling effects.

Shi Yin, Zujian Dai, Xinyang Pan, Lixin He2026-03-03
🔬 materials science

Microscopic origin of the magnetic easy-axis switching in Fe3GaTe2 under pressure

This study employs first-principles calculations to reveal that pressure-induced magnetic easy-axis switching in Fe3GaTe2 near 10 GPa arises from a reduction in magnetic moments and a sign reversal of the spin-orbit coupling contribution from FeI atoms, which collectively overcome the out-of-plane preference to establish an in-plane anisotropy.

Jiaqi Li, Shuyuan Liu, Chongze Wang, Fengzhu Ren, Bing Wang, Jun-Hyung Cho2026-03-03
🔬 optics

Visible Imaging of Incoherent 1200-nm Light via Triplet--Triplet Annihilation Upconversion

This paper presents a single-layer thin-film bulk heterojunction integrating PbS quantum dots with an organic semiconductor matrix that achieves a 15-fold improvement in upconversion efficiency, enabling the visible imaging of incoherent 1200-nm light at low intensities.

Pournima Narayanan, Rabeeya Hamid, Linda Pucurimay, Ona Segura Lecina, Ben P. Carwithen, Jacob Schopp, Justin S. Edwards (…)2026-03-03
🔬 materials science

Altermagnetism and Anomalous Transport in Ag2+^{2+} Fluorides: KAgF3_3 and K2_2AgF4_4

First-principles calculations reveal that Ag2+^{2+}-based fluorides KAgF3_3 and K2_2AgF4_4 exhibit distinct magnetic and orbital orderings, where the A-type antiferromagnetic KAgF3_3 displays altermagnetic properties with significant anomalous transport and magneto-optical responses, while the conventional antiferromagnetic K2_2AgF4_4 preserves PT\mathcal{PT} symmetry and lacks such anomalous effects.

Xiao Nan Chen, Sining Zhang, Zhengxuan Wang, Minping Zhang, Guangtao Wang2026-03-03
🔬 materials science

Rheology of dense vibrated granular flows: non-monotonic response controlled by granular temperature

Using numerical simulations of a stress-imposed vane rheometer, this study reveals that the rheology of dense vibrated granular flows is governed by the balance between grain-scale agitation energy and confinement, leading to a non-monotonic viscosity response to vibration frequency that reconciles previously observed trends in friction and viscosity weakening.

A. Plati, G. Petrillo, L. de Arcangelis, A. Gnoli, A. Puglisi, A. Sarracino, E. Lippiello2026-03-03
🔬 materials science

Generative Models for Crystalline Materials

This review examines the current state, methods, and challenges of using end-to-end generative machine learning models for predicting and designing crystalline materials, offering guidance on representations, evaluation, software tools, and future directions for both experimentalists and ML specialists.

Houssam Metni, Laura Ruple, Lauren N. Walters, Luca Torresi, Jonas Teufel, Henrik Schopmans, Jona Östreicher, Yumeng Zha (…)2026-03-03
🔬 materials science

Atomically-precise synthesis and simultaneous integration of 2D transition metal dichalcogenides enabled by nano-confinement

This study presents a versatile nano-confinement strategy using van der Waals capping layers to enable the atomically precise synthesis of tailored 2D transition metal dichalcogenides and Janus monolayers while simultaneously creating ultraclean interfaces that preserve air-sensitive properties.

Ce Bian, Yifan Zhao, Roger Guzman, Hongtao Liu, Hao Hu, Qi Qi, Ke Zhu, Hao Wang, Kang Wu, Hui Guo, Wanzhen He, Zhaoqing (…)2026-03-03