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

 
9781032417530: Methods and Applications of Autonomous Experimentation (Chapman & Hall/CRC Computational Science)
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ISBN 10: 1032417536 ISBN 13: 9781032417530
Editorial: Chapman and Hall/CRC, 2025

Sinopsis

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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Acerca del autor

Marcus M. Noack received his Ph.D. in applied mathematics from Oslo University, Norway. At Lawrence Berkeley National Laboratory, he is working on stochastic function approximation, optimization and uncertainty quantification, applied to Autonomous Experimentation.

Daniela Ushizima, Ph.D. in physics from the University of Sao Paulo, Brazil after majoring in computer science, has been associated with Lawrence Berkeley National Laboratory since 2007, where she investigates machine learning algorithms applied to image processing. Her primary focus has been on developing computer vision software to automate scientific data analysis.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Chapman and Hall/CRC
Año de publicación
2025
Idioma
Inglés
ISBN 10 
1032417536
ISBN 13 
9781032417530
Encuadernación
Tapa blanda
Número de edición
1
Número de páginas
402
Editor
Noack Marcus, Ushizima Daniela
Contacto del fabricante
no disponible
Persona responsable
gpsr@libri.de
gpsr@libri.de

Europaallee 1
Bad Hersfeld
36244
Alemania

Otras ediciones populares con el mismo título

9781032314655: Methods and Applications of Autonomous Experimentation (Chapman & Hall/CRC Computational Science)

Edición Destacada

ISBN 10:  1032314656 ISBN 13:  9781032314655
Editorial: Chapman and Hall/CRC, 2023
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