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Materials Informatics and Catalysts Informatics An Introduction

This textbook is designed for students and researchers who are interested in materials and catalysts informatics with little to no prior experience in data science or programming languages. Starting with a comprehensive overview of the concept and historical context of materials and catalysts inform...

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Bibliographic Details
Main Authors: Takahashi, Keisuke, Takahashi, Lauren (Author)
Format: eBook
Language:English
Published: Singapore Springer Nature Singapore 2024, 2024
Edition:1st ed. 2024
Subjects:
Catalysis
Chemoinformatics
Materials Science / Data Processing
Graph Theory
Computational Materials Science
Computational Chemistry
Cheminformatics
Chemistry / Data Processing
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • Chapter 1. An Introduction to Materials Informatics and Catalysts Informatics
  • Chapter 2. Developing an Informatics Work Environment
  • Chapter 3. Programming
  • Chapter 4. Programming and Python
  • Chapter 5. Data and Materials and Catalysts Informatics
  • Chapter 6. Data Visualization
  • Chapter 7. Machine Learning
  • Chapter 8. Supervised Machine Learning
  • Chapter 9. Unsupervised Machine Learning and Beyond Machine Learning

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