- Csatlakozás
- 2020.09.06.
- Üzenetek
- 6,223
- Reakció pontszám
- 73
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- 48
- Díjak
- 5
Krishnan N Machine Learning for Materials Discovery Numerical Recipes 2024 | 11.54 MB
287 Pages
Title: Machine Learning for Materials Discovery
Author: N. M. Anoop Krishnan · Hariprasad Kodamana ·
Description:
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 lucid manner to ensure that readers from different materials domains are able to use these techniques successfully. A unique feature of this book is its hands-on aspect-each method presented herein is accompanied by a code that implements the method in open-source platforms such as Python. This book is thus aimed at graduate students, researchers, and engineers to enable the use of data-driven methods for understanding and accelerating the discovery of novel materials.
DOWNLOAD:
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 lucid manner to ensure that readers from different materials domains are able to use these techniques successfully. A unique feature of this book is its hands-on aspect-each method presented herein is accompanied by a code that implements the method in open-source platforms such as Python. This book is thus aimed at graduate students, researchers, and engineers to enable the use of data-driven methods for understanding and accelerating the discovery of novel materials.
DOWNLOAD:
Code:
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Code:
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