🔬 Category

cond-mat.mtrl-sci

4006 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

Thermal Transport in Ag8TS6 (T= Si, Ge, Sn) Argyrodites: An Integrated Experimental, Quantum-Chemical, and Computational Modelling Study

This study integrates experimental measurements with quantum-chemical and computational modeling to demonstrate that bond heterogeneity and strong anharmonicity drive the exceptionally low lattice thermal conductivity in Ag8TS6 (T=Si, Ge, Sn) argyrodites, while confirming that their thermal and ionic conductivities can be tuned independently.

Joana Bustamante, Anupama Ghata, Aakash A. Naik, Christina Ertural, Katharina Ueltzen, Wolfgang G. Zeier, Janine George2026-08-03
🔬 materials science

Symmetry Rules for Cavity Materials Engineering with Linearly Polarized Vacuum Fields

This paper establishes general symmetry rules for cavity materials engineering by using group theory to classify symmetry-breaking patterns induced by linearly polarized vacuum fields across all crystallographic point groups, a framework validated through QED-DFT calculations on BaTiO3_3 and MoS2_2.

Jingkai Quan, Chongxiao Fan, Benshu Fan, I-Te Lu, Dante M. Kennes, Angel Rubio2026-08-03
🔬 materials science

Local B-site chemistry controls oxygen-vacancy energetics in Ca-Ce-Ti-Mn perovskites for thermochemical hydrogen production

This study demonstrates that local B-site chemistry, particularly the nearest-neighbor Mn fraction, primarily governs oxygen-vacancy formation energetics in Ca-Ce-Ti-Mn perovskites, enabling the identification of specific compositions that achieve superior redox performance for solar thermochemical hydrogen production at lower temperatures than the ceria benchmark.

Manish Kumar (Washington University in St. Louis), Natalia Ali (Arizona State University), Matthew D. Witman (Sandia Nat (…)2026-08-03
🤖 machine learning

Representations from Pretrained Machine-Learning Interatomic Potentials as Coarse Coordinates for Material Generation and Evaluation

This paper demonstrates that atom-averaged features from pretrained Machine-Learning Interatomic Potentials (MLIPs), such as MACE, serve as effective coarse coordinates for both evaluating material generative models via a novel Coarse-Fine Transport Distance (CFTD) metric and guiding the generation process itself.

Paul Hagemann, Katharina Ueltzen, Simon Müller, Janine George, Philipp Benner2026-08-03
🔬 materials science

An End-to-End Differentiable Forward Model for High-Energy Diffraction Microscopy

This paper introduces the first end-to-end differentiable forward model for High-Energy Diffraction Microscopy (HEDM) that covers far-field, near-field, and point-focused geometries, enabling gradient-based joint parameter refinement and uncertainty quantification while achieving pixel-exact agreement with established simulators.

Hemant Sharma, Nina Andrejevic, Simon Zhang, Mathew Cherukara2026-08-03
🔬 materials science

Molecular beam epitaxy synthesis of ternary nitride PrTaN2_2 and its crystal structure determination

This paper reports the molecular beam epitaxy synthesis of a novel ternary nitride, PrTaN2_2, and details the determination of its orthorhombic crystal structure (space group P222P222) using a specialized fitting procedure for thin-film diffraction data, thereby demonstrating MBE's potential to stabilize and characterize previously unexplored complex nitride materials.

Kosuke Takiguchi, Yoshiharu Krockenberger, Eisuke Magome, Yoji Kunihashi, Hideki Yamamoto2026-08-03
🔬 materials science

Strength-degradation phase-field regularization of cohesive fracture: the antiplane case

This paper introduces a strength-degradation phase-field model for antiplane fracture that unifies limit analysis, plasticity, and various fracture regimes by decoupling strength, stiffness, and toughness, thereby allowing crack nucleation and propagation to be governed by an arbitrary convex strength surface and an elasto-cohesive length scale rather than being constrained by elastic energy.

Blaise Bourdin, Corrado Maurini2026-08-03
🔬 materials science

Beyond Stoner-Wohlfarth: Machine-Learning Models and Symbolic Regression of Hard-Magnet Properties

This paper introduces machine-learning models and symbolic regression trained on over 12,000 micromagnetic simulations to accurately predict hard-magnet extrinsic properties and recover intrinsic parameters, offering a computationally efficient alternative to traditional analytical models and direct simulations.

Samuel J. R. Holt, Christina Winkler, Timoteo Colnaghi, Martin Lang, Swapneel A. Pathak, Andrea Petrocchi, Michael Adams (…)2026-08-03