Cargando…
Inverse Design of Micro Phononic Beams Incorporating Size Effects via Tandem Neural Network
Phononic crystals of the smaller scale show a promising future in the field of vibration and sound reduction owing to their capability of accurate manipulation of elastic waves arising from size-dependent band gaps. However, manipulating band gaps is still a major challenge for existing design appro...
Autores principales: | Li, Jingru, Miao, Zhongjian, Li, Sheng, Ma, Qingfen |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9962746/ https://www.ncbi.nlm.nih.gov/pubmed/36837147 http://dx.doi.org/10.3390/ma16041518 |
Ejemplares similares
-
Design of Graphene Phononic Crystals for Heat Phonon Engineering
por: Masrura, Haque Mayeesha, et al.
Publicado: (2020) -
Neural Inverse Design of Nanostructures (NIDN)
por: Gómez, Pablo, et al.
Publicado: (2022) -
Comparison of Different Neural Network Architectures
for Plasmonic Inverse Design
por: Wu, Qingxin, et al.
Publicado: (2021) -
Topological Design of Cellular Phononic Band Gap Crystals
por: Li, Yang Fan, et al.
Publicado: (2016) -
Direct Prediction of Phonon Density of States With Euclidean Neural Networks
por: Chen, Zhantao, et al.
Publicado: (2021)