Materials Data Science

Introduction to Data Mining, Machine Learning, and Data-Driven Predictions for Materials Science and Engineering

AvStefan Sandfeld

Inbunden, Engelska, 2024

Del i serien Materials Research Society Series

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Beskrivning

This text covers all of the data science, machine learning, and deep learning topics relevant to materials science and engineering, accompanied by numerous examples and applications. The section on unsupervised learning emphasizes principal component analysis, and also covers manifold learning (t-SNE and UMAP) and clustering techniques.

Produktinformation

Utgivningsdatum:2024-05-09
Mått:155 x 235 x 37 mm
Vikt:1 176 g
Format:Inbunden
Språk:Engelska
Serie:Materials Research Society Series
Antal sidor:618
Förlag:Springer International Publishing AG
ISBN:9783031465642

Utforska kategorier

Systemvetenskap och AI inom Data och IT
Databaser inom Data och IT
Maskinteknik och material inom Naturvetenskap och teknik

Mer om författaren

Prof. Dr. Stefan Sandfeld is Director of the Institute for Advanced Simulation: Materials Data Science and Informatics (IAS-9) Forschungszentrum Juelich, Germany; and Professor/Chair of Materials Data Science and Materials Informatics, RWTH Aachen University.

Innehållsförteckning

Introduction to Data, Data Mining, and Prediction in Materials Science.- A Primer on Probabilities, Distributions and Statistics.- Introduction to Statistical Machine Learning.- Artificial Neural Networks and Deep Learning.- Advanced Topics of Machine Learning and Data Mining in Materials Science and Engineering.- Conclusion Outlook.- Appendix.