Results 291 to 300 of about 175,630 (355)

Toroidal metamaterials.

Wen-Ying Zhou (10049543), Yu-Xin Li (323895), Wei Li (7081), Mai Lu (3764398), Jin-Jing Xu (12564499)   +4 more
openalex   +1 more source

Dynamically tunable electromagnetically induced reflection in terahertz complementary graphene metamaterials

, 2015
Jiuxing Jiang, Qinfei Zhang, Qixiang Ma, Shitao Yan, Fengmin Wu, Xunjun He   +5 more
openalex   +1 more source

Factorization Machine‐Based Active Learning for Functional Materials Design with Optimal Initial Data

Advanced Intelligent Discovery, EarlyView.
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

Low and medium frequency acoustic absorption properties of acoustic metamaterials with irregular cylindrical cavities. [PDF]

Sci Rep
Hou Z, Zhang K, Zhou Z, Zheng Y, Wang J, Wang L.   +5 more
europepmc   +1 more source

Microelectromechanically reconfigurable interpixelated metamaterial for independent tuning of multiple resonances at terahertz spectral region

, 2015
Prakash Pitchappa, Chong Pei Ho, Lokesh Dhakar, Chengkuo Lee   +3 more
openalex   +1 more source

Machine Learning Driven Inverse Design of Broadband Acoustic Superscattering

Advanced Intelligent Discovery, EarlyView.
Multilayer acoustic superscatterers are designed using machine learning to achieve broadband superscattering and strong sound insulation. By incorporating a weighted mean absolute error into the loss function, the forward and inverse neural networks accurately map structural parameters to spectral responses.
Lijuan Fan, Xiangliang Zhang, Ying Wu
wiley   +1 more source

Structural-Material Coupling Enabling Broadband Absorption for a Graphene Aerogel All-Medium Metamaterial Absorber. [PDF]

Nanomaterials (Basel)
Yan K, Ren Y, Zhang J, Song M, Du X, Lu M, Wu D, Li Y, Yun J.   +8 more
europepmc   +1 more source

Subcell misalignment in vertically cascaded metamaterial absorbers

, 2013
Qin Chen, Sun Fu-He, Shichao Song
openalex   +1 more source

Enhancing Sensitivity across Scales with Highly Sensitive Hall Effect‐Based Auxetic Tactile Sensors

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
Herein, a tactile sensor based on hall‐effect sensors with an auxetic structure, called Hall effect‐based auxetic tactile sensor (HEATS), is proposed. The change in magnetism resulting from the deformation of the auxetic structure is utilized for sensing.
Youngheon Yun, Dongchan Lee, Soyeon Lee, Salvador Pané, Josep Puigmartí‐Luis, Sungwoo Chun, Bumjin Jang   +6 more
wiley   +1 more source

Accurate prediction of geometrical parameters of an ultra-broadband metamaterial absorber using machine learning. [PDF]

Sci Rep
Ahmed MR, Jyoti O, Sarkar PP, Motin MA, Habib MS, Habib MS.   +5 more
europepmc   +1 more source