Informatics for Materials Science and Engineering
Data-driven Discovery for Accelerated Experimentation and Application
Computational materials scientists, combinatorial and high-throughput experimentalists and affiliated applications specialists.
Hardbound, 542 Pages
Published: July 2013
Imprint: Butterworth Heinemann
"The first half of the volume sets out foundational aspects of data science, and the second half surveys applications in materials science using a case-study approach. The topics include novel approaches to statistical learning in materials science, data dimensionality reduction in materials science,â¦. high-performance computing for accelerated zeolitic materials modeling, and using multivariate analysis to answer questions concerning the conservation of artworks and cultural heritage materials."-- Reference & Research Book News,December 2013