Materials informatics: a 'hot topic' area in materials science, aims to combine traditionally bio-led informatics with computational methodologies, supporting m
This book deals with an information-driven approach to plan materials discovery and design, iterative learning. The authors present contrasting but complementar
Artificial neural networks (ANNs) and genetic programming (GP) have already emerged as two very effective computing strategies for constructing data-driven mode
Design of combinatorial and high-throughput experiments has continued to build on the progress of the last two decades. New variations of factorial and mixture
Studying structure–property relationships is an accepted paradigm in materials science, yet these relationships are often not linear and the challenge is to s