Condensed Matter · Physics & Astronomy
Materials Science
The newest papers in Materials Science that ReadSearch has read, newest first. Each links to its own page, with its authors, date, where it was published and the original.
269 papers, from 31 August 2026 to 5 November 2026: 195 arXiv preprints and 74 OpenAlex records.
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Newest papers, page 5
Scalable long-range machine learning interatomic potentials with electrical response for atomistic material modeling
Accurate atomistic simulations of materials under electric fields require long-range electrostatics and electrical-response modeling at length scales beyond the reach of conventional…pymatgen: 15 years of community growth, new functionality, and future prospects
We present a retrospective on the Python Materials Genomics (pymatgen) library, reflecting on 15 years of community growth and established best practices.Interplay between high-entropy effects and the superionic transition in fluorite oxides: A liquid-like perspective
Minor actinide (MA)-bearing mixed oxide (MOX), a prominent high-entropy ceramic (HEC), is a promising candidate for advanced fast reactor fuels.ActMOF: Mapping Reticular Synthesis through Active Learning
Reticular chemistry allows metal-organic frameworks (MOFs) to be designed from their building units, yet their synthesis remains constrained by sparse experimental data, noisy crystallization…Beyond DFT electronic band structures via dual-space orbital learning
Accurate electronic band structures are essential for predicting material properties, but high-fidelity calculations are computationally demanding.Learning from fracture: Teaching language models to design through physical experience
How can language models learn to optimize physical designs through experience?All-electron machine-learned orbital-free density functional for periodic CHNO systems
We introduce STRUCTURES-P, a machine-learned all-electron orbital-free density functional for periodic CHNO systems.Complex materials engineering via Provenance Action Graphs: potential, structure and demonstration
This work discusses and tests the potential of reaction graphs for material synthesis, in which events consist of reaction steps (actions) and their outputs (observations).Virtual-Alloy Physics-Aware Semantic System for extrapolative prediction of perovskite solar cells
Existing machine-learning models for perovskite solar cells struggle to predict devices made from new materials.Measuring higher-order bulk topology in a programmable quantum simulator
Topological insulators lie outside the standard Landau paradigm: Instead of being characterized by local order parameters and spontaneous symmetry breaking, their defining properties are encoded in…PXRD-Bench: How Close Are We to Determining Crystal Structures from Powder Diffraction?
Determining crystal structures from powder X-ray diffraction (PXRD) would enable routine characterization of newly synthesized materials, including those absent from reference databases.Honeycomb Crystal in a Mass-Asymmetric Electron-Hole Bilayer
A two-dimensional electron gas in a uniform neutralizing background forms a triangular Wigner crystal at low density.Comprehensive Workflow for Uncertainty-Aware Ionic Liquid Solvent Discovery
Designing synthesizable materials with targeted properties remains one of the central objectives in materials sciences.Length-scale dependence of collective time reparameterization in swap dynamics
Swap Monte Carlo dramatically accelerates the equilibration of deeply supercooled liquids while preserving the equilibrium Boltzmann distribution.Framework for an AI-Ready ARPES Community Database
Condensed matter stands to gain profoundly from widespread adoption of artificial intelligence (AI).Localized Joule heating and carbonization process optimization of 3D printed polymer structures for lab-on-CMOS applications
Use of carbon electrodes integrated with CMOS technology has great promise for lab-on-chip, biomedical, environmental, and industrial applications.Spiral Edge States in Topological 2D Sb2Te3 Crystals
This work explores the edge state conduction properties of twinned and spiraled, 2D Sb2Te3 topological insulator crystals.DiffGA: Steering Frozen Diffusion Models for Materials Design via Evolutionary Search
Steering candidate generation toward user-defined objectives is central to inverse materials design, yet remains difficult when objectives are black-box, changing, or non-differentiable, as in many…Evolution and breakdown of chiral anomaly in Weyl semiconductor tellurium
Chiral anomaly in topological materials manifests as negative longitudinal magnetoresistance, yet the tunability and evolution of this effect remain elusive.Theory of exciton-exciton interactions in crystalline systems
Excitons are bound electron-hole pairs in semiconductors whose interactions influence optical properties and determine their collective behavior and emergent correlated phases.