Methods and applications of autonomous experimentation / edited by Marcus M. Noack and Daniela Ushizima.

Other author Noack, Marcus M.
Other author Ushizima, Daniela.
Format Electronic
EditionFirst edition.
Publication InfoBoca Raton, FL : CRC Press, Taylor & Francis Group, 2024.
Description1 online resource
Supplemental ContentFull text available from eBooks on EBSCOhost
Subjects

SeriesChapman & Hall/CRC computational science series
Abstract "Autonomous Experimentation is poised to revolutionize scientific experiments at advanced facilities worldwide. 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 human interference. Illustrating theoretical foundations and incorporating practitioners' first-hand experience, 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"-- Provided by publisher.
General note"A Chapman & Hall book."--Title page.
Bibliography noteIncludes bibliographical references and index.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Source of descriptionDescription based on print version record and CIP data provided by publisher.
Issued in other formPrint version: Methods and applications of autonomous experimentation First edition. Boca Raton, FL : CRC Press, Taylor & Francis Group, 2024 9781032314655
Genre/formElectronic books.
LCCN 2023031625
ISBN9781003359593 (ebook)
ISBN(hardback)
ISBN(paperback)

Availability

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Electronic Resources Access Content Online ✔ Available