Information Science for Materials Discovery and Design - Springer Series in Materials Science
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Published By Springer International Publishing

9783319238708, 9783319238715

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Bayesian Optimization for Materials Design

Information Science for Materials Discovery and Design - Springer Series in Materials Science ◽

10.1007/978-3-319-23871-5_3 ◽

2015 ◽

pp. 45-75 ◽

Cited By ~ 31

Author(s):

Peter I. Frazier ◽

Jialei Wang

Keyword(s):

Materials Design ◽

Bayesian Optimization

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Inference of Hidden Structures in Complex Physical Systems by Multi-scale Clustering

Information Science for Materials Discovery and Design - Springer Series in Materials Science ◽

10.1007/978-3-319-23871-5_6 ◽

2015 ◽

pp. 115-138 ◽

Cited By ~ 4

Author(s):

Z. Nussinov ◽

P. Ronhovde ◽

Dandan Hu ◽

S. Chakrabarty ◽

Bo Sun ◽

...

Keyword(s):

Physical Systems ◽

Multi Scale

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On the Use of Data Mining Techniques to Build High-Density, Additively-Manufactured Parts

Information Science for Materials Discovery and Design - Springer Series in Materials Science ◽

10.1007/978-3-319-23871-5_7 ◽

2015 ◽

pp. 141-155 ◽

Cited By ~ 2

Author(s):

Chandrika Kamath

Keyword(s):

Data Mining ◽

High Density ◽

Data Mining Techniques ◽

Use Of Data

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Discovering Electronic Signatures for Phase Stability of Intermetallics via Machine Learning

Information Science for Materials Discovery and Design - Springer Series in Materials Science ◽

10.1007/978-3-319-23871-5_12 ◽

2015 ◽

pp. 223-238 ◽

Cited By ~ 1

Author(s):

Scott R. Broderick ◽

Krishna Rajan

Keyword(s):

Machine Learning ◽

Phase Stability ◽

Electronic Signatures

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A Perspective on Materials Informatics: State-of-the-Art and Challenges

Information Science for Materials Discovery and Design - Springer Series in Materials Science ◽

10.1007/978-3-319-23871-5_1 ◽

2015 ◽

pp. 3-12 ◽

Cited By ~ 12

Author(s):

T. Lookman ◽

P. V. Balachandran ◽

D. Xue ◽

G. Pilania ◽

T. Shearman ◽

...

Keyword(s):

State Of The Art ◽

Materials Informatics

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Small-Sample Classification

Information Science for Materials Discovery and Design - Springer Series in Materials Science ◽

10.1007/978-3-319-23871-5_4 ◽

2015 ◽

pp. 77-101 ◽

Cited By ~ 1

Author(s):

Lori A. Dalton ◽

Edward R. Dougherty

Keyword(s):

Small Sample ◽

Sample Classification

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Optimal Dopant Selection for Water Splitting with Cerium Oxides: Mining and Screening First Principles Data

Information Science for Materials Discovery and Design - Springer Series in Materials Science ◽

10.1007/978-3-319-23871-5_8 ◽

2015 ◽

pp. 157-171 ◽

Cited By ~ 2

Author(s):

V. Botu ◽

A. B. Mhadeshwar ◽

S. L. Suib ◽

R. Ramprasad

Keyword(s):

Water Splitting ◽

First Principles ◽

Cerium Oxides ◽

Selection For

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High Throughput Combinatorial Experimentation + Informatics = Combinatorial Science

Information Science for Materials Discovery and Design - Springer Series in Materials Science ◽

10.1007/978-3-319-23871-5_14 ◽

2015 ◽

pp. 271-300 ◽

Cited By ~ 2

Author(s):

Santosh K. Suram ◽

Meyer Z. Pesenson ◽

John M. Gregoire

Keyword(s):

High Throughput

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Symmetry-Adapted Distortion Modes as Descriptors for Materials Informatics

Information Science for Materials Discovery and Design - Springer Series in Materials Science ◽

10.1007/978-3-319-23871-5_11 ◽

2015 ◽

pp. 213-222 ◽

Cited By ~ 2

Author(s):

Prasanna V. Balachandran ◽

Nicole A. Benedek ◽

James M. Rondinelli

Keyword(s):

Materials Informatics

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Combinatorial Materials Science, and a Perspective on Challenges in Data Acquisition, Analysis and Presentation

Information Science for Materials Discovery and Design - Springer Series in Materials Science ◽

10.1007/978-3-319-23871-5_13 ◽

2015 ◽

pp. 241-270 ◽

Cited By ~ 1

Author(s):

Robert C. Pullar

Keyword(s):

Data Acquisition ◽

Materials Science ◽

Combinatorial Materials ◽

Combinatorial Materials Science

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Information Science for Materials Discovery and Design - Springer Series in Materials ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Bayesian Optimization for Materials Design

Inference of Hidden Structures in Complex Physical Systems by Multi-scale Clustering

On the Use of Data Mining Techniques to Build High-Density, Additively-Manufactured Parts

Discovering Electronic Signatures for Phase Stability of Intermetallics via Machine Learning

A Perspective on Materials Informatics: State-of-the-Art and Challenges

Small-Sample Classification

Optimal Dopant Selection for Water Splitting with Cerium Oxides: Mining and Screening First Principles Data

High Throughput Combinatorial Experimentation + Informatics = Combinatorial Science

Symmetry-Adapted Distortion Modes as Descriptors for Materials Informatics

Combinatorial Materials Science, and a Perspective on Challenges in Data Acquisition, Analysis and Presentation

Information Science for Materials Discovery and Design - Springer Series in Materials Science
Latest Publications