Results 281 to 290 of about 188,571 (367)

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

Experimental Study on the Effect of Humidity on the Mechanical Properties of 3D-Printed Mechanical Metamaterials. [PDF]

Polymers (Basel)
Sun Q, Tan X, Man J, Li S, Ali Z, Yin K, Cao B, Eberl C.   +7 more
europepmc   +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

Electrostatic Orientation of Optically Asymmetric Janus Particles

ACS Omega
Mohammad Mojtaba Sadafi, Achiles Fontana da Mota, Hossein Mosallaei   +2 more
doaj   +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

A metamaterial structure with high tunability

, 2010
Kelvin J. Nicholson, Kamran Ghorbani
openalex  

CrossMatAgent: AI‐Assisted Design of Manufacturable Metamaterial Patterns via Multi‐Agent Generative Framework

Advanced Intelligent Discovery, EarlyView.
CrossMatAgent is a multi‐agent framework that combines large language models and diffusion‐based generative AI to automate metamaterial design. By coordinating task‐specific agents—such as describer, architect, and builder—it transforms user‐provided image prompts into high‐fidelity, printable lattice patterns.
Jie Tian, Martin Taylor Sobczak, Dhanush Patil, Jixin Hou, Lin Pang, Arunachalam Ramanathan, Libin Yang, Xianyan Chen, Yuval Golan, Xiaoming Zhai, Hongyue Sun, Kenan Song, Xianqiao Wang   +12 more
wiley   +1 more source

Spectral synthesis of temporal response of nonlinearity through tuneable electron and phonon dynamics in a metamaterial. [PDF]

Npj Nanophoton
Wu J, Bykov AY, Zaleska A, Zayats AV.
europepmc   +1 more source

A three-dimensional THz metamaterials using double split-ring resonators

, 2013
Yu‐Sheng Lin, Fusheng Ma, You Qian, Piotr Kropelnicki, Zhen Liu, Chengkuo Lee   +5 more
openalex   +2 more sources

Deep Learning‐Assisted Design of Mechanical Metamaterials

Advanced Intelligent Discovery, EarlyView.
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong, Pu Wen, Zhiping Chai, Dunxuan Wu, Han Ding, Zhigang Wu   +5 more
wiley   +1 more source