Information Science for Materials Discovery and Design [E-Book] / edited by Turab Lookman, Francis J. Alexander, Krishna Rajan
This book deals with an information-driven approach to plan materials discovery and design, iterative learning. The authors present contrasting but complementary approaches, such as those based on high throughput calculations, combinatorial experiments or data driven discovery, together with machine...
Saved in:
Full text |
|
Personal Name(s): | Alexander, Francis J., editor |
Lookman, Turab, editor / Rajan, Krishna, editor | |
Edition: |
1st ed. 2016. |
Imprint: |
Cham :
Springer,
2016
|
Physical Description: |
XVII, 307 p. 134 illus., 88 illus. in color. online resource. |
Note: |
englisch |
ISBN: |
9783319238715 |
DOI: |
10.1007/978-3-319-23871-5 |
Series Title: |
/* Depending on the record driver, $field may either be an array with
"name" and "number" keys or a flat string containing only the series
name. We should account for both cases to maximize compatibility. */?>
Springer Series in Materials Science ;
225 |
Subject (LOC): |
- From the Contents: Introduction
- Data-Driven Discovery of Physical, Chemical, and Pharmaceutical Materials
- Cross-Validation and Inference in Bioinformatics/Cancer Genomics
- Applying MQSPRs - New Challenges and Opportunities.