Artificial intelligence-aided materials design AI-algorithms and case studies on alloys and metallurgical processes / Rajesh Jha and Bimal Kumar Jha.
| Author/creator | Jha, Rajesh |
| Other author | Jha, B. K. (Bimal K.) |
| Format | Electronic |
| Edition | First edition. |
| Publication Info | Boca Raton, FL : CRC Press, 2022. |
| Description | 1 online resource |
| Supplemental Content | Full text available from eBooks on EBSCOhost |
| Supplemental Content | Full text available from Taylor & Francis eBooks |
| Subjects |
| Abstract | "This book describes the application of artificial intelligence (AI)/machine learning (ML) concepts to develop predictive models that can be used to design alloy materials. Readers new to AI/ML algorithms can use the book as a starting point and use the included MATLAB and Python implementation of AI/ML algorithms through included case studies. Experienced AI/ML researchers who want to try new algorithms can use this book and study the case studies for reference. This book is written for materials scientists and metallurgists interested in the application of AI, ML, and data science in the development of new materials"-- Provided by publisher. |
| Bibliography note | Includes bibliographical references and index. |
| Access restriction | Available only to authorized users. |
| Technical details | Mode of access: World Wide Web |
| Source of description | Description based on print version record and CIP data provided by publisher. |
| Issued in other form | Print version: Jha, Rajesh. Artificial intelligence-aided materials design First edition. Boca Raton, FL : CRC Press, 2022 9780367765279 |
| Genre/form | Electronic books. |
| LCCN | 2021047602 |
| ISBN | 9781000541380 (epub) |
| ISBN | 9781003167372 (ebk) |
| ISBN | (hbk) |
| ISBN | (pbk) |
Availability
| Library | Location | Call Number | Status | Item Actions |
|---|---|---|---|---|
| Electronic Resources | ✔ Available |