Machine learning for materials discovery : numerical recipes and practical applications (Record no. 200809)
[ view plain ]
| 000 -LEADER | |
|---|---|
| fixed length control field | 02074nam a22002897a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20260714091903.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 260714b |||||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 978-3031446214 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 3031446216 |
| 041 ## - LANGUAGE CODE | |
| Language code of text/sound track or separate title | eng |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006.31 KRI-M |
| 100 ## - MAIN ENTRY--AUTHOR NAME | |
| Personal name | Krishnan, N. M. Anoop, |
| 245 ## - TITLE STATEMENT | |
| Title | Machine learning for materials discovery : numerical recipes and practical applications |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication | Switzerland; |
| Name of publisher | Springer Nature Switzerland AG, |
| Year of publication | 2024. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | xx, 279p. |
| 440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE | |
| Title | Machine intelligence for materials science. |
| Volume number/sequential designation | ISSN 2948-1813 |
| 505 ## - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Introduction --<br/>Basics of machine learning --<br/>Data visualization and preprocessing --<br/>Regression methods --<br/>Dimensionality reduction --<br/>Deep learning --<br/>Interpretable machine learning --<br/>Machine learning for materials modelling --<br/>Property prediction --<br/>Materials discovery --<br/>Machine-learned simulations --<br/>Image-based prediction --<br/>Natural language processing. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | 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.<br/><br/> |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Machine learning. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Artificial intelligence. |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Kodamana, Hariprasad, |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Bhattoo, Ravinder, |
| 856 ## - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | https://doi.org/10.1007/978-3-031-44622-1 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Books and Monographs |
| Full call number | Accession Number | Koha item type | Lost status | Damaged status | Permanent Location | Current Location | Shelving location | Date acquired | Source of acquisition | Cost, normal purchase price |
|---|---|---|---|---|---|---|---|---|---|---|
| 006.31 KRI-M | 103072 | Books and Monographs | Central Library, NIT Jalandhar | Central Library, NIT Jalandhar | General Stacks | 13.07.2026 | Delhi, Narendra Publishing House | 21129.76 |