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.

Mesh Graph Neural Network Framework for Accelerating Finite Element Simulation for Arbitrary Geometries

This paper introduces a translation- and rotation-invariant Mesh Graph Neural Network (MGN) framework that successfully generalizes to predict von Mises stress fields in 2D structural components with arbitrary hole geometries and unseen load conditions, significantly outperforming conventional machine learning models in accuracy and adaptability for finite element analysis.

Josiah D. Kunz, Kamal Choudhary2026-06-09🔬 cond-mat.mtrl-sci

First-Principles Insights into Surface and Ligand Effects in Stoichiometric HgTe Quantum Dots

This study employs atomistic simulations to reveal how size-dependent surface coordination and ligand passivation govern the electronic structure of stoichiometric HgTe quantum dots, demonstrating that neutral ligands effectively eliminate localized surface states and offer a chemical handle for engineering frontier states relevant to mid-infrared optoelectronics.

Raagya Arora, Patrick J. Lohr, Dibyajyoti Ghosh, Jennifer Hollingsworth, Sergei Tretiak2026-06-09🔬 cond-mat.mtrl-sci

Information Entropy Based Crystal Structure Prediction of Chemically Disordered Alloys via Graph Convolutional Neural Networks

This paper proposes an information-theoretic approach for predicting the phase stability of chemically disordered alloys by combining alchemical Monte Carlo sampling with a Graph Convolutional Neural Network model and an information entropy-based metric, demonstrating its effectiveness across binary to quinary systems where conventional methods face computational challenges.

Suman Chabri, Gautam Anand2026-06-09🔬 cond-mat.mtrl-sci

Chiral-Angle-Controlled Altermagnetic Spin Splitting in Nanotubes

This paper demonstrates that rolling a two-dimensional dd-wave altermagnet into a nanotube transforms its momentum-dependent spin splitting into a chiral-angle-controlled one-dimensional splitting following a cos(2θ)\cos(2\theta) dependence, thereby establishing dimensional projection as a general strategy for engineering spin-split quantum states in low-dimensional magnetic materials.

Ersoy Sasioglu, Tom. G. Saunderson, Börge Göbel, Ingrid Mertig, Samir Lounis2026-06-09🔬 cond-mat.mes-hall

Chemical tuning of magnetic ordering and cryogenic magnetocaloric response in zircon-type Gd1-xErxVO4

This study demonstrates that partial substitution of Gd³⁺ with smaller Er³⁺ ions in zircon-type Gd₁₋ₓErₓVO₄ systematically tunes lattice parameters and magnetic interactions, effectively optimizing the low-temperature magnetocaloric performance for cryogenic refrigeration, with the Gd₀.₉Er₀.₁VO₄ composition achieving a maximum magnetic entropy change of 45.1 J kg⁻¹ K⁻¹ under a 7 T field.

Ming Zeng, Muqing Su, Liang Ming, Xiaolong Yang, Wang Chen, Lingwei Li, Hai-Feng Li2026-06-09✓ Author reviewed 🔬 physics.app-ph

Valley Engineering in Bilayer WSe2_2 Gate-All-Around Transistors

This paper demonstrates that bilayer WSe2_2 is the optimal channel for valley-engineered gate-all-around transistors because its near-thermal K-Γ\Gamma valley degeneracy at room temperature enables simultaneous enhancement of on-current and suppression of off-current via strain, while maintaining a subthreshold swing near the thermionic limit.

Katsunori Wakabayashi, Souren Adhikary, Kazuhito Tsukagoshi2026-06-09🔬 cond-mat.mes-hall