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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 (AI) 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).
There have been three critical advances in technology over the past few decades that have revolutionized the way we discover new things. First, computational power has exploded. Today we carry more computing power in the cell phones in our pockets than in the rockets that brought man to the moon. This computing power has allowed humans to transcend biological limits of brain matter to tackle ever increasingly complex and wicked problems. Second, data is everywhere. We live in a data-rich world that is only getting richer. Advances in the way we collect, analyze, and store data has led to an exponential growth of information. Data is the new gold, and there’s a rush by technology companies looking to capitalize and extract full value from this untapped resource. Third, robots are better, much better.
Right now, you can go online and purchase a robot dog from Boston Dynamics, one that can perform routine maintenance on oil rigs or explore mining caverns that are unsafe. Robotics has never been cheaper and more accessible as today, and as economies of scale mature, this is only going to drive adoption and innovation. Taken together, these enabling technologies are accelerating the way scientists discover new things – from drugs and chemicals to batteries and consumer electronics. Automation and Artificial Intelligence (AI) are being applied to augment and improve traditional discovery. These efficiency gains are critical to saving humanity’s most precious resource – time. In a world challenged by a global pandemic and a warming climate, we cannot afford the one or two decades for the traditional cycle of discovery to impact. We need to act now.
An overview of accelerated materials discovery
Artificial intelligence for catalysis
Artificial intelligence for materials spectroscopy
Flexible automation for self-driving laboratories
Algorithms for materials discovery
Industrial materials informatics