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Methods and Applications of 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.
This is a digital product.
Additional ISBNs
9781032314655, 9781003359593, 9781003821267
Methods and Applications of Autonomous Experimentation 1st Edition and published by Chapman & Hall. The Digital and eTextbook ISBNs for Methods and Applications of Autonomous Experimentation are 9781003821281, 1003821286 and the print ISBNs are 9781032417530, 1032417536. Additional ISBNs for this eTextbook include 9781032314655, 9781003359593, 9781003821267.
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