Results 181 to 190 of about 3,234 (302)
Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang +4 more
wiley +1 more source
Metal-Assisted Chemical Etching of p‑type Si Nanopillars with Doping Level of 10<sup>20</sup> cm<sup>-3</sup>. [PDF]
Giulio F +6 more
europepmc +1 more source
Flexible tactile sensors have considerable potential for broad application in healthcare monitoring, human–machine interfaces, and bioinspired robotics. This review explores recent progress in device design, performance optimization, and intelligent applications. It highlights how AI algorithms enhance environmental adaptability and perception accuracy
Siyuan Wang +3 more
wiley +1 more source
Enhanced Model for the Analysis of Thermoelectric Effects at Nanoscale: Onsager's Method and Liu's Technique in Comparison. [PDF]
Di Domenico M, Sellitto A.
europepmc +1 more source
Simple and effective computation methods are needed to calculate energy efficiency in buildings for building thermal comfort and HVAC system simulations.
Peng, Changhai, Wu, Zhishen
core
This work investigates the optimal initial data size for surrogate‐based active learning in functional material optimization. Using factorization machine (FM)‐based quadratic unconstrained binary optimization (QUBO) surrogates and averaged piecewise linear regression, we show that adequate initial data accelerates convergence, enhances efficiency, and ...
Seongmin Kim, In‐Saeng Suh
wiley +1 more source
Bionic Multimodal Augmented Somatosensory Receptor Enabled by Thermogalvanic Hydrogel. [PDF]
Li N +6 more
europepmc +1 more source
A low‐cost, self‐driving laboratory is developed to democratize autonomous materials discovery. Using this "frugal twin" hardware architecture with Bayesian optimization, the platform rapidly converges to target lower critical solution temperature (LCST) values while self‐correcting from off‐target experiments, demonstrating an accessible route to data‐
Guoyue Xu, Renzheng Zhang, Tengfei Luo
wiley +1 more source
Ultrahigh thermoelectricity obtained in classical BiSbTe alloy processed under super-gravity. [PDF]
Zhou M +11 more
europepmc +1 more source
Harnessing Digital Microstructure for Simulation‐Guided Optimization of Permanent Magnets
An experimental‐to‐computational workflow is presented that transforms experimental 3D focused ion beam‐scanning electron microscopy data into a simulation‐ready digital microstructure for multiphase functional materials. Using heavy‐rare‐earth‐free Nd–Fe–B magnets as a model system, the approach quantifies grain connectivity across complex secondary ...
Nikita Kulesh +4 more
wiley +1 more source

