Accelerated Materials Discovery : : How to Use Artificial Intelligence to Speed Up Development / / ed. by Phil De Luna.
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 looki...
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Superior document: | Title is part of eBook package: De Gruyter DG Plus DeG Package 2022 Part 1 |
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MitwirkendeR: |
Berlinguette, Curtis P.,
Black, Robert, Brown, Amanda K., Carbone, Matthew R., Dagdelen, John, Dunn, Alex, Gates, Ian D., Gomes, Carla P., Gregoire, John M., Gusarov, Sergey, Guzman, Gustavo, Hein, Jason E., Hung, Linda, MacLeod, Benjamin P., Parlane, Fraser G. L., Siahrostami, Samira, Stoyanov, Stanislav R., Suram, Santosh K., Tamblyn, Isaac, Torrisi, Steven B., Yano, Junko, |
HerausgeberIn: | |
Place / Publishing House: | Berlin ;, Boston : : De Gruyter, , [2022] ©2022 |
Year of Publication: | 2022 |
Language: | English |
Series: | De Gruyter STEM
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Online Access: | |
Physical Description: | 1 online resource (X, 205 p.) |
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