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 10
Resonantly Enhanced Phonon Transport by Magnon Pumping in a Ferromagnetic/Piezoelectric Bilayer
We report the first experimental observation of resonantly enhanced propagating phonon transport induced by magnon pumping in a ferromagnetic/piezoelectric bilayer.Divergent strategies and convergent outcomes in autonomous materials discovery
Scientific agents are mostly evaluated on whether they complete tasks or recover known results; we instead study variation across repeated open-ended campaigns.Electronic-Entropy-Driven Phase Transitions in Compressed Iron Oxides
Electronic entropy is usually treated as a secondary correction to structural stability, but under strong electronic excitation it can become a primary thermodynamic driving force.Vacancy aggregation enhances NV- spin coherence in diamond: a cluster-correlation-expansion study of multi-vacancy spin baths in semiconductors
Annealing a semiconductor makes its vacancies mobile; they aggregate into multi-vacancy complexes that often carry spin.On the dual character of Zn impurity in SnTe: Tuning thermoelectric and topological properties
We present a first-principles study of the electronic structure and thermoelectric properties of Zn-doped SnTe using the Korringa-Kohn-Rostoker method within the coherent potential approximation…Notes on a strongly aperiodic monotile in $E^3$
We provide a clearer presentation of the Chair44 monotile, a new strongly aperiodic monotile in three-dimensional Euclidean space $E^3$.Towards Accurate Prediction of Mutation-Induced Changes in Protein Structure
Proteins can possess numerous mutations relative to their wild-type amino acid sequences with minimal impact to their structure and function.Matching Rules for a Three-Dimensional Strongly Aperiodic Monotile
A recent pre-print [arXiv:2609.19214] proposed a three-dimensional (3D) strongly aperiodic monotile: a shape that tiles Euclidean space only non-periodically and which admits no symmetry of infinite…Complete Neural Electronic Initialization Accelerates Materials DFT
We present the first complete machine learning method for accelerating plane-wave density functional theory (DFT) in materials under the projector augmented wave (PAW) formalism.Portfolio-Based Constrained Multi-Objective Bayesian Optimization for Materials Design
Materials discovery and design campaigns can be formulated as constrained multi-objective Bayesian optimization (CMOBO) problems, within which each experimental decision negotiates between two…Truncated automatic sparse differentiation for machine learning interatomic potentials
Machine learning interatomic potentials (MLIPs) learn the mapping from atomic positions to potential energy.A Hybrid Quantum Neural Network to Analyse Big Experimental Powder X-ray Diffraction Data
Quantitative analysis of experimental powder X-ray diffraction data remains challenging when evaluating complex multiphase materials and noisy measurements.Human Language Shapes the Emerging Physical Reasoning in Large Language Models
Whether large language models (LLMs) acquire adequate representations of physical reality by predicting the next token remains unresolved.Hypothesis-Driven Autonomous Materials Synthesis with Multimodal LLM Agents
Self-driving laboratories can explore synthesis conditions autonomously, but their decision-making layer is typically a black-box optimizer, and the output is a set of optimized samples, with the…Physics-based prediction, uncertainty quantification and decision-making for IN718 crystallographic texture intensity across LPBF defocus regimes
Reliable prediction of crystallographic texture in laser powder bed fusion is critical for linking process conditions with anisotropic response and for qualification.A Strongly Aperiodic Monotile in Three Dimensions
Socolar and Taylor asked for a single, simply connected three-dimensional prototile that forces nonperiodicity by shape alone, admitting no weakly nonperiodic tiling; the Schmitt-Conway-Danzer…AI for Science with GPT-6 Astra: Thermal Design and Electrothermal Analysis of 2D CFET
Thermal optimization of 2D CFET inverters requires testing structural proposals against their electrical costs.Robust and Efficient AI Frameworks for Scalable Material Design and Property Prediction
This thesis develops robust and efficient AI frameworks for accelerating crystalline materials discovery by addressing both major stages of the materials-design pipeline: crystal property prediction…Neural-Network Solutions to Real-Space Charge Density and Generalization
The Hohenberg-Kohn theorem establishes that, in principle, the ground state (GS) charge density contains all GS information of a many-electron system, such that all GS observables can be expressed…Multi4D: an end-to-end neural network for structural determination at complex material interfaces
Heterogeneous interfaces dictate the performance and degradation of functional materials, making it essential to link local structural variations with macroscopic failure mechanisms to guide future…