03624nam a22006135i 4500 978-3-031-44622-1 DE-He213 20251030112029.0 cr nn 008mamaa 240506s2024 sz | s |||| 0|eng d 9783031446221 978-3-031-44622-1 10.1007/978-3-031-44622-1 doi TA404.23 TGM bicssc TEC021000 bisacsh TGM thema Krishnan, N. M. Anoop. author. aut http://id.loc.gov/vocabulary/relators/aut 76431 Machine Learning for Materials Discovery [electronic resource] : Numerical Recipes and Practical Applications / by N. M. Anoop Krishnan, Hariprasad Kodamana, Ravinder Bhattoo. 1st ed. 2024. Cham : Springer International Publishing : Imprint: Springer, 2024. XX, 279 p. 110 illus., 95 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Machine Intelligence for Materials Science, 2948-1821 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. 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. Materials science Data processing. 67985 Machine learning. 55059 System theory. 66519 Mathematical physics. Ceramic materials. 67115 Computational Materials Science. 67987 Machine Learning. 55059 Complex Systems. 66520 Theoretical, Mathematical and Computational Physics. 65563 Ceramics. 67117 Kodamana, Hariprasad. author. aut http://id.loc.gov/vocabulary/relators/aut 76432 Bhattoo, Ravinder. author. aut http://id.loc.gov/vocabulary/relators/aut 76433 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031446214 Printed edition: 9783031446238 Printed edition: 9783031446245 Machine Intelligence for Materials Science, 2948-1821 68417 https://doi.org/10.1007/978-3-031-44622-1 ZDB-2-PHA ZDB-2-SXP 59670 59670