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 8
Quantum Krylov Learning
The Hamiltonian of a natural quantum system is usually determined indirectly, by proposing microscopic models and comparing their predicted observables with experiment.CompMat-Bench: Benchmarking AI Agents for Computational Materials Science
Evaluating AI agents on scientific research tasks is constrained by the time and resources required for the underlying experiments or calculations.A robust single-sensing-element tactile sensor for concurrent pressure and tackiness detection with real-time signal decoupling capability
Integrating tackiness sensation into the artificial skin of humanoid robots significantly enhances their cognitive and operational capabilities.A Digital Simulation Toolkit for Physics-Based Generation of Realistic Experimental Scanning Tunneling Microscopy Images
Scanning Tunneling Microscopy (STM) is a widely used tool for characterizing surfaces of materials at the atomic scale, playing a crucial role in discoveries across condensed matter physics and…GLASS: Global Latent Aggregation with Slot-based Set Decoding for Scalable All-Atom Crystal Generation
Generative models for crystals enable the discovery of novel structures, but scaling all-atom generation to larger systems such as metal--organic frameworks remains challenging.L-band single-photon generation from a cavity-coupled silicon C-center
Monolithic integration of single-photon sources into silicon photonics offers a compelling solution for realizing scalable quantum telecommunication architectures.Single-particle detection of the Néel transition in LaCrO$_3$ microcrystals via widefield nitrogen-vacancy center magnetic imaging
Rare-earth orthochromites exhibit rich, chemically tunable magnetic behavior, making them attractive for temperature sensing and temperature-dependent switching applications.Native implementation of the machine-learned Skala exchange-correlation functional in CP2K: Unified one-centre reconstruction for molecular and condensed-phase calculations
We implement the machine-learned Skala exchange-correlation (XC) functional natively in CP2K using its Gaussian and plane-wave (GPW) and Gaussian and augmented-plane-wave (GAPW) methods.Pre-registered tests of solid-state-physics-inspired LLM compression: a cluster-level negative result at small-language-model scale
We report a three-month autonomous research-agent program testing five solid-state-physics-inspired compression mappings on pretrained language models, with predictions committed to git before any…Bounding Retraining Equivalence and the Deletion Floor in Materials Machine Unlearning
In materials machine learning, closely related retained structures can sustain accurate property predictions even after removing a specific record, rendering post-deletion prediction error an…A Si-on-SiC Platform for Interfacing with Vanadium Dopants in the Telecom O-Band
Vanadium color centers in silicon carbide (SiC) offer telecom O-band emission, sub-microsecond optical lifetimes, and second-scale spin relaxation times, rendering them promising candidates for…Photoelectron and electron microscopy investigation of laboratory grown Mg-silicate space dust analogues
The atomic structure at the surface of interstellar silicate dust particles likely plays a key role in a variety of chemical processes occurring in star- and planet-forming regions of the…Measuring trainable degrees of freedom in materials graph neural networks: a random-subspace intrinsic dimension analysis
Final predictive accuracy is the standard basis for comparing graph neural networks (GNNs) in materials-property prediction, but it does not show how strongly performance depends on access to…A minimizing cone from Cartan polynomials in the Alt-Caffarelli problem
In this paper we study a class of 1-homogeneous solutions of the one-phase problem coming from the Cartan isoparametric cubic polynomials, which exist only in dimensions $d=5,8,14,26$.Let CSP Be Your ANCHOR: Adaptive Crystal Search over Frozen Structure Priors
De novo crystal generation (DNG) models decide where to search in composition space and how to generate structures with one set of weights.Placement-driven reversal of preferred spin alignment in monolayer hBN vacancy pairs
The negatively charged boron vacancy is an optically addressable spin centre in hexagonal boron nitride (hBN), but bringing two vacancies together introduces electronic interactions absent from the…Democratizing Atomistic Simulation Workflows for the AI Era with the Quantum Accelerator
We present the Quantum Accelerator (QuAcc), an open-source workflow library for atomistic simulations with an emphasis on quantum-mechanical calculations.On mechanistically accessible copolymer sequences
Structural observations in polymer chemistry are often rationalized through underlying mechanistic insights.Active 3D weaves for load-bearing and damage-resilient locomotion
The craft of weaving, where different materials are interlaced, has tremendous potential for creating active and functional systems for use in soft robots, prosthetics, wearables, exoskeletons, and…Phase Space Attention:A Hairer Lift Circumvents the Single-Layer Induction Obstruction
We circumvent the Sanford-Hsu-Telgarsky (SHT) single-layer induction obstruction within a linear, one-step, causal, bilinear, symplectically consistent design class on the post-RoPE substrate, by…