Data mining-aided materials discovery and optimization
Recent developments in data mining-aided materials discovery and optimization are reviewed in this paper, and an introduction to the materials data mining (MDM) process is provided using case studies. Both qualitative and quantitative methods in machine learning can be adopted in the MDM process to...
Main Authors: | Wencong Lu, Ruijuan Xiao, Jiong Yang, Hong Li, Wenqing Zhang |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2017-09-01
|
Series: | Journal of Materiomics |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2352847817300618 |
Similar Items
-
Polyoxometalate (POM)-Layered Double Hydroxides (LDH) Composite Materials: Design and Catalytic Applications
by: Tengfei Li, et al.
Published: (2017-09-01) -
Hydrotalcites in Construction Materials
by: Anna-Marie Lauermannová, et al.
Published: (2020-11-01) -
Two-Dimensional Layered Double Hydroxide Derived from Vermiculite Waste Water Supported Highly Dispersed Ni Nanoparticles for CO Methanation
by: Panpan Li, et al.
Published: (2017-03-01) -
Advances in Layered Double Hydroxide/Carbon Nanocomposites Containing Ni2+ and Co2+/3+ for Supercapacitors
by: Shalini Kulandaivalu, et al.
Published: (2020-06-01) -
Highlights on the Catalytic Properties of Polyoxometalate-Intercalated Layered Double Hydroxides: A Review
by: Alexandra-Elisabeta Stamate, et al.
Published: (2020-01-01)