Machine learning and deep learning in phononic crystals and metamaterials – A review

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

Fingerprint

???publication_fingerprints_help???

Material Science

100
Materials Material Science
100
Metamaterial Material Science
100
Phononic Crystal Material Science
50
Materials Science Material Science
50
Field Research Material Science

Keyphrases

100
Phononic Crystal Keyphrases
100
Machine Learning Le... Keyphrases
100
Deep Machine Learni... Keyphrases
100
Phononic Metamateri... Keyphrases
66
Acoustics Keyphrases
66
Machine Learning Keyphrases
66
Network Architectur... Keyphrases
66
Deep Learning Metho... Keyphrases
66
Deep Learning Keyphrases
66
Artificial Material... Keyphrases
66
Artificial Structur... Keyphrases
33
Structural Design Keyphrases
33
Materials Science Keyphrases
33
Artificial Intellig... Keyphrases
33
Technological Progr... Keyphrases
33
Working Principle Keyphrases
33
Interdisciplinary R... Keyphrases
33
Data-driven Methods Keyphrases
33
Historical Context Keyphrases
33
Learning Communitie... Keyphrases
33
New Research Direct... Keyphrases
33
Crystal Design Keyphrases
33
Design Exploration Keyphrases
33
Science Learning Keyphrases
33
Metamaterial Design Keyphrases
33
Architecture Princi... Keyphrases

INIS

100
learning INIS
100
crystals INIS
100
reviews INIS
100
machine learning INIS
100
metamaterials INIS
80
design INIS
40
acoustics INIS
40
optimization INIS
40
architecture INIS
40
mechanics INIS
40
communities INIS
40
physics INIS
20
applications INIS
20
data INIS
20
surveys INIS
20
exploration INIS
20
artificial intellig... INIS
20
surges INIS
Research OutputsResearch Output authored by Machine learning and deep learning in phononic crystals and metamaterials – A review is tagged with the concept