Results 271 to 280 of about 175,630 (355)

Mining extreme properties from a large metamaterial database. [PDF]

Nat Commun
Chen J, Wei Z, Xiao X, Wei K, Yang X, Qu Z, Fang D.   +6 more
europepmc   +1 more source

Metamaterials

The Journal of The Institute of Image Information and Television Engineers, 2011
openaire   +2 more sources

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
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

Duct Metamaterial Muffler with Composite Acoustic Porous Media: Acoustic Optimization via Periodic Arrangement, Particle Swarm Optimization and Experimental Validation. [PDF]

Materials (Basel)
Liu Z, Wang A, Cai C, Wang X, Fan Q, Huang B, Liu C, Huang Y.   +7 more
europepmc   +1 more source

Named Entity Recognition Models for Machine Learning Interatomic Potentials: A User‐Centric Approach to Knowledge Extraction from Scientific Literature

Advanced Intelligent Discovery, EarlyView.
Named entity recognition pipeline for knowledge extraction from scientific literature. Machine learning interatomic potential (MLIP) is an emerging technique that has helped achieve molecular dynamics simulations with unprecedented balance between efficiency and accuracy. Recently, the body of MLIP literature has been growing rapidly, which propels the
Bowen Zheng, Grace X. Gu
wiley   +1 more source

Multiscale Design of Dual-Gradient Metamaterials Using Gel-Mediated 3D-Printed Graphene Aerogels for Broadband Electromagnetic Absorption. [PDF]

Nanomicro Lett
Lv X, Li C, Wang G, Estevez D, Yang J, Chen Q, Qin F.   +6 more
europepmc   +1 more source

Investigation of Compact Low Pass Filter with Sharp Cut–Off using Metamaterial

, 2013
K. Annaram, S. Nithya
openalex   +1 more source

Piezoelectric Origami Metamaterials for Enhanced Handwriting Recognition and Trajectory Tracking

Advanced Intelligent Discovery, EarlyView.
This study introduces origami metamaterials inspired by Kresling piezoelectric generators to enhance biometric authentication and handwriting trajectory recognition. Overcoming sensor limitations in conventional devices, the design enables multichannel data acquisition with fewer sensors, utilizing machine learning to accurately identify content ...
Yinzhi Jin, Ting Tan, Zhimiao Yan
wiley   +1 more source

Correction for Keogh and Bilal, Combinatorial asymmetric acoustic metamaterials with real-time programmability. [PDF]

Proc Natl Acad Sci U S A
europepmc   +1 more source

Multi-Band Enhanced Energy Harvesting from Dual Sources Using a Symmetrical Gradient Metamaterial Beam. [PDF]

Sensors (Basel)
Mo W, Lin Y, Huang S, Li D, Deng R, Gu F.   +5 more
europepmc   +1 more source