Results 161 to 170 of about 3,088,219 (346)
Influence of the Grain Orientation of Wood upon Its Sound Absorption Properties. [PDF]
Guiman MV +5 more
europepmc +1 more source
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley +1 more source
Multi-Layered Porous Helmholtz Resonators for Low-Frequency and Broadband Sound Absorption. [PDF]
Liu X, Gu T, Li L, Wang D.
europepmc +1 more source
Flexible Memory: Progress, Challenges, and Opportunities
Flexible memory technology is crucial for flexible electronics integration. This review covers its historical evolution, evaluates rigid systems, proposes a flexible memory framework based on multiple mechanisms, stresses material design's role, presents a coupling model for performance optimization, and points out future directions.
Ruizhi Yuan +5 more
wiley +1 more source
Comprehensive evaluation of sound absorption property in dual-layer porous concrete pavement. [PDF]
Zhang Y +5 more
europepmc +1 more source
Sound Absorption of the Absorber Composed of a Shunt Loudspeaker and Porous Materials in Tandem. [PDF]
Li X, Cao Z, Xu L, Liu B.
europepmc +1 more source
Memristors based on trimethylsulfonium (phenanthroline)tetraiodobismuthate have been utilised as a nonlinear node in a delayed feedback reservoir. This system allowed an efficient classification of acoustic signals, namely differentiation of vocalisation of the brushtail possum (Trichosurus vulpecula).
Ewelina Cechosz +4 more
wiley +1 more source
Sierpiński carpet-inspired hierarchical patterning of porous materials for sound absorption. [PDF]
Kuznetsova S +4 more
europepmc +1 more source
Sound Absorption Performance and Mechanical Properties of the 3D-Printed Bio-Degradable Panels. [PDF]
Zaharia SM +5 more
europepmc +1 more source
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

