Methods and Applications of Autonomous Experimentation (Chapman & Hall/CRC Computational Science)

By: Marcus M. Noack and Daniela Ushizima

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Synopsis: 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.

Book Quality:: Publisher Quality
ISBN-13:: 9781003821281
Related ISBNs:: 9781003359593, 9781032417530, 9781032314655
Publisher:: CRC Press
Date of Addition:: 12/14/23
Copyrighted By:: selection and editorial matter, Marcus M. Noack and Daniela Ushizima
Adult content:: No
Language:: English
Has Image Descriptions:: No
Categories:: Nonfiction, Science, Computers and Internet, Business and Finance, Mathematics and Statistics
Submitted By:: Bookshare Staff
Usage Restrictions:: This is a copyrighted book.
Edited by:: Marcus Noack
Edited by:: Daniela Ushizima