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Methods and Applications of Autonomous Experimentation

By: (Edited by) Daniela Ushizima , (Edited by) Marcus Noack

Manufacture on Demand

Ksh 13,500.00

Format: Hardback or Cased Book

ISBN-10: 1032314656

ISBN-13: 9781032314655

Series: Chapman & Hall/CRC Computational Science

Publisher: Taylor & Francis Ltd

Imprint: Chapman & Hall/CRC

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Dec 14th, 2023

Print length: 402 Pages

Weight: 453 grams

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Illustrating theoretical foundations and incorporating practitioners’ first-hand experience, book is a practical guide to successful Autonomous Experimentation.

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.


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