Application of machine learning in understanding the irradiation damage mechanism of high-entropy materials

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

Fingerprint

???publication_fingerprints_help???

Material Science

Materials Material Science

Radiation Damage Material Science

Building Material Material Science

Keyphrases

Radiation Damage Keyphrases

Damage Mechanism Keyphrases

Machine Learning Ap... Keyphrases

High-entropy Materi... Keyphrases

Defect Evolution Keyphrases

Machine Learning Ba... Keyphrases

Defect Dynamics Keyphrases

Irradiation Respons... Keyphrases

Structural Material... Keyphrases

Radiation Resistanc... Keyphrases

Machine Learning Te... Keyphrases

Machine Learning Keyphrases

Response Prediction Keyphrases

Local Environment Keyphrases

Learning Developmen... Keyphrases

Environmental Depen... Keyphrases

Prediction Machines Keyphrases

Implicit Relationsh... Keyphrases

Interatomic Potenti... Keyphrases

INIS

irradiation INIS

applications INIS

machine learning INIS

environment INIS

prediction INIS

radiation effects INIS

structural material... INIS

Research OutputsResearch Output authored by Application of machine learning in understanding the irradiation damage mechanism of high-entropy materials is tagged with the concept

Find experts having the same concept