Informatics for combinatorial materials science-Reference-Cited by-同舟云学术

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Informatics for combinatorial materials science

Published:2008-03 Issue:3 Volume:60 Page:56-59
ISSN:1047-4838
Container-title:JOM
language:en
Short-container-title:JOM

Author:

Broderick S.,Suh C.,Nowers J.,Vogel B.,Mallapragada S.,Narasimhan B.,Rajan K.

Publisher

Springer Science and Business Media LLC

Subject

General Engineering,General Materials Science

Link

http://link.springer.com/content/pdf/10.1007/s11837-008-0035-x.pdf

Reference17 articles.

1. S. Meguro et al., Applied Surface Science, 252 (2006), pp. 2634–2639.

2. S. Meguro et al., Meas. Sci. Technol., 16 (2005), pp. 309–316.

3. C.H. Yen et al., Computer Aided Chemical Engineering, 15 (2003), pp. 364–369.

4. A. Corma et al., Journal of Catalysis, 232 (2005), pp.335–341.

5. C. Suh et al., Data Sci. J., 1(1) (April 2002), p. 19.

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1. Center-environment feature models for materials image segmentation based on machine learning;Scientific Reports;2022-07-28

2. Biomaterialomics: Data science-driven pathways to develop fourth-generation biomaterials;Acta Biomaterialia;2022-04

3. Improving direct physical properties prediction of heterogeneous materials from imaging data via convolutional neural network and a morphology-aware generative model;Computational Materials Science;2018-07

4. Data-driven computing in dynamics;International Journal for Numerical Methods in Engineering;2017-12-15

5. Data Driven Computing with noisy material data sets;Computer Methods in Applied Mechanics and Engineering;2017-11

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