A predictive machine learning approach for microstructure optimization and materials design
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Adaptive Strategies for Materials Design using Uncertainties.Prediction of seebeck coefficient for compounds without restriction to fixed stoichiometry: A machine learning approach.Characterization of the Optical Properties of Turbid Media by Supervised Learning of Scattering Patterns.Inferring low-dimensional microstructure representations using convolutional neural networks.Identifying an efficient, thermally robust inorganic phosphor host via machine learningA Transfer Learning Approach for Microstructure Reconstruction and Structure-property Predictions
P2860
A predictive machine learning approach for microstructure optimization and materials design
description
2015 nî lūn-bûn
@nan
2015年の論文
@ja
2015年論文
@yue
2015年論文
@zh-hant
2015年論文
@zh-hk
2015年論文
@zh-mo
2015年論文
@zh-tw
2015年论文
@wuu
2015年论文
@zh
2015年论文
@zh-cn
name
A predictive machine learning ...... imization and materials design
@ast
A predictive machine learning ...... imization and materials design
@en
type
label
A predictive machine learning ...... imization and materials design
@ast
A predictive machine learning ...... imization and materials design
@en
prefLabel
A predictive machine learning ...... imization and materials design
@ast
A predictive machine learning ...... imization and materials design
@en
P2093
P2860
P356
P1433
P1476
A predictive machine learning ...... imization and materials design
@en
P2093
Abhishek Kumar
Alok Choudhary
Ankit Agrawal
Ruoqian Liu
Zhengzhang Chen
P2860
P2888
P356
10.1038/SREP11551
P407
P577
2015-06-23T00:00:00Z