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Machine Learning for Materials Discovery Numerical Recipes and Practical Applications /

Focusing on the fundamentals of machine learning, this book covers broad areas of data-driven modeling, ranging from simple regression to advanced machine learning and optimization methods for applications in materials modeling and discovery. The book explains complex mathematical concepts in a luci...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Krishnan, N. M. Anoop (VerfasserIn), Kodamana, Hariprasad (VerfasserIn), Bhattoo, Ravinder (VerfasserIn)
Körperschaft: SpringerLink (Online service)
Format: Elektronisch E-Book
Sprache:Englisch
Veröffentlicht: Cham : Springer International Publishing : Imprint: Springer, 2024.
Ausgabe:1st ed. 2024.
Schriftenreihe:Machine Intelligence for Materials Science,
Schlagworte:
Materials science > Data processing.
Machine learning.
System theory.
Mathematical physics.
Ceramic materials.
Computational Materials Science.
Machine Learning.
Complex Systems.
Theoretical, Mathematical and Computational Physics.
Ceramics.
Online-Zugang:https://doi.org/10.1007/978-3-031-44622-1
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Inhaltsangabe:
  • Part I: Introduction
  • Part II: Basics of Machine Learning Methods
  • Introduction to Data-Based Modeling
  • Model Development
  • Introduction to Machine Learning
  • Quick Dive into Probabilistic Methods
  • Optimization
  • Part III: Application in Glass Science
  • Property Prediction
  • Glass Discovery
  • Understanding Glass Physics
  • Atomistic Modeling
  • Future Directions.

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