Methods and Applications of Autonomous Experimentation Hardback
Edited by Marcus Noack, Daniela Ushizima
Part of the Chapman & Hall/CRC Computational Science series
Hardback
- Information
Description
Autonomous Experimentation is poised to revolutionize scientific experiments at advanced experimental facilities.
Whereas previously, human experimenters were burdened with the laborious task of overseeing each measurement, recent advances in mathematics, machine learning and algorithms have alleviated this burden by enabling automated and intelligent decision-making, minimizing the need for human interference.
Illustrating theoretical foundations and incorporating practitioners’ first-hand experiences, this book is a practical guide to successful Autonomous Experimentation. Despite the field’s growing potential, there exists numerous myths and misconceptions surrounding Autonomous Experimentation.
Combining insights from theorists, machine-learning engineers and applied scientists, this book aims to lay the foundation for future research and widespread adoption within the scientific community.
This book is particularly useful for members of the scientific community looking to improve their research methods but also contains additional insights for students and industry professionals interested in the future of the field.
Information
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Out of StockMore expected soonContact us for further information
- Format:Hardback
- Pages:402 pages, 5 Tables, black and white; 109 Line drawings, color; 8 Line drawings, black and white; 9
- Publisher:Taylor & Francis Ltd
- Publication Date:14/12/2023
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Category:
- Economic systems & structures
- Applied mathematics
- Electrical engineering
- Environmental science, engineering & technology
- Computing: general
- Supercomputers
- Algorithms & data structures
- Software Engineering
- Mathematical theory of computation
- Computer architecture & logic design
- Artificial intelligence
- ISBN:9781032314655
Information
-
Out of StockMore expected soonContact us for further information
- Format:Hardback
- Pages:402 pages, 5 Tables, black and white; 109 Line drawings, color; 8 Line drawings, black and white; 9
- Publisher:Taylor & Francis Ltd
- Publication Date:14/12/2023
-
Category:
- Economic systems & structures
- Applied mathematics
- Electrical engineering
- Environmental science, engineering & technology
- Computing: general
- Supercomputers
- Algorithms & data structures
- Software Engineering
- Mathematical theory of computation
- Computer architecture & logic design
- Artificial intelligence
- ISBN:9781032314655