Accelerated materials discovery : How to Use Artificial Intelligence to Speed Up Development / Edited by Phil De Luna

Contributor(s):

De Luna, Phil [editor.]

text

Media type:

unmediated

Carrier type:

volume

ISBN:

9783110738049

Subject(s):

DDC classification:

23 620.11028563

Summary: Typical timelines to go from discovery to impact in the advanced materials sector are between 10 to 30 years. Advances in robotics and artificial intelligence are poised to accelerate the discovery and development of new materials dramatically. This book is a primer for any materials scientist looking to future-proof their careers and get ahead of the disruption that artificial intelligence and robotic automation is just starting to unleash. It is meant to be an overview of how we can use these disruptive technologies to augment and supercharge our abilities to discover new materials that will solve world's biggest challenges. Written by world leading experts on accelerated materials discovery from academia (UC Berkeley, Caltech, UBC, Cornell, etc.), industry (Toyota Research Institute, Citrine Informatics) and national labs (National Research Council of Canada, Lawrence Berkeley National Labs)

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Holdings
Item type	Current library	Collection	Shelving location	Call number	Status	Barcode
Book	Perpustakaan Alor Setar	RFID	Rujukan Dewasa	R 620.11028563 ACC (Browse shelf(Opens below))	Not For Loan	A01766490

Includes index

Typical timelines to go from discovery to impact in the advanced materials sector are between 10 to 30 years. Advances in robotics and artificial intelligence are poised to accelerate the discovery and development of new materials dramatically. This book is a primer for any materials scientist looking to future-proof their careers and get ahead of the disruption that artificial intelligence and robotic automation is just starting to unleash. It is meant to be an overview of how we can use these disruptive technologies to augment and supercharge our abilities to discover new materials that will solve world's biggest challenges. Written by world leading experts on accelerated materials discovery from academia (UC Berkeley, Caltech, UBC, Cornell, etc.), industry (Toyota Research Institute, Citrine Informatics) and national labs (National Research Council of Canada, Lawrence Berkeley National Labs)

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