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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| Place / Publishing House: | Berlin ;, Boston : : De Gruyter, , [2022] ©2022 |
| Year of Publication: | 2022 |
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Accelerated Materials Discovery : How to Use Artificial Intelligence to Speed Up Development / ed. by Phil De Luna. Berlin ; Boston : De Gruyter, [2022] ©2022 1 online resource (X, 205 p.) text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda De Gruyter STEM Frontmatter -- Preface -- Contents -- List of contributors -- 1 An overview of accelerated materials discovery -- 2 Artificial intelligence for catalysis -- 3 Artificial intelligence for materials spectroscopy -- 4 Flexible automation for self-driving laboratories -- 5 Algorithms for materials discovery -- 6 Industrial materials informatics -- About the editor -- Index restricted access http://purl.org/coar/access_right/c_16ec online access with authorization star 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). Issued also in print. Mode of access: Internet via World Wide Web. In English. Description based on online resource; title from PDF title page (publisher's Web site, viewed 02. Mai 2023) Materialwirtschaft. Materialwissenschaft. künstliche Intelligenz. maschinelles Lernen. Artificial Intelligence. Machine Learning. Materials Development. Materials Discovery. Berlinguette, Curtis P., contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Black, Robert, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Brown, Amanda K., contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Carbone, Matthew R., contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Dagdelen, John, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb De Luna, Phil, editor. edt http://id.loc.gov/vocabulary/relators/edt Dunn, Alex, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Gates, Ian D., contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Gomes, Carla P., contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Gregoire, John M., contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Gusarov, Sergey, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Guzman, Gustavo, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Hein, Jason E., contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Hung, Linda, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb MacLeod, Benjamin P., contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Parlane, Fraser G. L., contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Siahrostami, Samira, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Stoyanov, Stanislav R., contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Suram, Santosh K., contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Tamblyn, Isaac, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Torrisi, Steven B., contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Yano, Junko, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Title is part of eBook package: De Gruyter DG Plus DeG Package 2022 Part 1 9783110766820 Title is part of eBook package: De Gruyter EBOOK PACKAGE COMPLETE 2022 English 9783110993899 Title is part of eBook package: De Gruyter EBOOK PACKAGE COMPLETE 2022 9783110994810 ZDB-23-DGG Title is part of eBook package: De Gruyter EBOOK PACKAGE Physics, Chemistry, Mat.Sc, Geosc 2022 English 9783110993448 Title is part of eBook package: De Gruyter EBOOK PACKAGE Physics, Chemistry, Mat.Sc, Geosc 2022 9783110993219 ZDB-23-DPC EPUB 9783110733259 print 9783110738049 https://doi.org/10.1515/9783110738087 https://www.degruyter.com/isbn/9783110738087 Cover https://www.degruyter.com/document/cover/isbn/9783110738087/original |
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Berlinguette, Curtis P., Berlinguette, Curtis P., Black, Robert, Black, Robert, Brown, Amanda K., Brown, Amanda K., Carbone, Matthew R., Carbone, Matthew R., Dagdelen, John, Dagdelen, John, De Luna, Phil, De Luna, Phil, Dunn, Alex, Dunn, Alex, Gates, Ian D., Gates, Ian D., Gomes, Carla P., Gomes, Carla P., Gregoire, John M., Gregoire, John M., Gusarov, Sergey, Gusarov, Sergey, Guzman, Gustavo, Guzman, Gustavo, Hein, Jason E., Hein, Jason E., Hung, Linda, Hung, Linda, MacLeod, Benjamin P., MacLeod, Benjamin P., Parlane, Fraser G. L., Parlane, Fraser G. L., Siahrostami, Samira, Siahrostami, Samira, Stoyanov, Stanislav R., Stoyanov, Stanislav R., Suram, Santosh K., Suram, Santosh K., Tamblyn, Isaac, Tamblyn, Isaac, Torrisi, Steven B., Torrisi, Steven B., Yano, Junko, Yano, Junko, |
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Berlinguette, Curtis P., Berlinguette, Curtis P., Black, Robert, Black, Robert, Brown, Amanda K., Brown, Amanda K., Carbone, Matthew R., Carbone, Matthew R., Dagdelen, John, Dagdelen, John, De Luna, Phil, De Luna, Phil, Dunn, Alex, Dunn, Alex, Gates, Ian D., Gates, Ian D., Gomes, Carla P., Gomes, Carla P., Gregoire, John M., Gregoire, John M., Gusarov, Sergey, Gusarov, Sergey, Guzman, Gustavo, Guzman, Gustavo, Hein, Jason E., Hein, Jason E., Hung, Linda, Hung, Linda, MacLeod, Benjamin P., MacLeod, Benjamin P., Parlane, Fraser G. L., Parlane, Fraser G. L., Siahrostami, Samira, Siahrostami, Samira, Stoyanov, Stanislav R., Stoyanov, Stanislav R., Suram, Santosh K., Suram, Santosh K., Tamblyn, Isaac, Tamblyn, Isaac, Torrisi, Steven B., Torrisi, Steven B., Yano, Junko, Yano, Junko, |
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Berlinguette, Curtis P., |
| title |
Accelerated Materials Discovery : How to Use Artificial Intelligence to Speed Up Development / |
| spellingShingle |
Accelerated Materials Discovery : How to Use Artificial Intelligence to Speed Up Development / De Gruyter STEM Frontmatter -- Preface -- Contents -- List of contributors -- 1 An overview of accelerated materials discovery -- 2 Artificial intelligence for catalysis -- 3 Artificial intelligence for materials spectroscopy -- 4 Flexible automation for self-driving laboratories -- 5 Algorithms for materials discovery -- 6 Industrial materials informatics -- About the editor -- Index |
| title_sub |
How to Use Artificial Intelligence to Speed Up Development / |
| title_full |
Accelerated Materials Discovery : How to Use Artificial Intelligence to Speed Up Development / ed. by Phil De Luna. |
| title_fullStr |
Accelerated Materials Discovery : How to Use Artificial Intelligence to Speed Up Development / ed. by Phil De Luna. |
| title_full_unstemmed |
Accelerated Materials Discovery : How to Use Artificial Intelligence to Speed Up Development / ed. by Phil De Luna. |
| title_auth |
Accelerated Materials Discovery : How to Use Artificial Intelligence to Speed Up Development / |
| title_alt |
Frontmatter -- Preface -- Contents -- List of contributors -- 1 An overview of accelerated materials discovery -- 2 Artificial intelligence for catalysis -- 3 Artificial intelligence for materials spectroscopy -- 4 Flexible automation for self-driving laboratories -- 5 Algorithms for materials discovery -- 6 Industrial materials informatics -- About the editor -- Index |
| title_new |
Accelerated Materials Discovery : |
| title_sort |
accelerated materials discovery : how to use artificial intelligence to speed up development / |
| series |
De Gruyter STEM |
| series2 |
De Gruyter STEM |
| publisher |
De Gruyter, |
| publishDate |
2022 |
| physical |
1 online resource (X, 205 p.) Issued also in print. |
| contents |
Frontmatter -- Preface -- Contents -- List of contributors -- 1 An overview of accelerated materials discovery -- 2 Artificial intelligence for catalysis -- 3 Artificial intelligence for materials spectroscopy -- 4 Flexible automation for self-driving laboratories -- 5 Algorithms for materials discovery -- 6 Industrial materials informatics -- About the editor -- Index |
| isbn |
9783110738087 9783110766820 9783110993899 9783110994810 9783110993448 9783110993219 9783110733259 9783110738049 |
| url |
https://doi.org/10.1515/9783110738087 https://www.degruyter.com/isbn/9783110738087 https://www.degruyter.com/document/cover/isbn/9783110738087/original |
| illustrated |
Not Illustrated |
| dewey-hundreds |
600 - Technology |
| dewey-tens |
620 - Engineering |
| dewey-ones |
620 - Engineering & allied operations |
| dewey-full |
620.11028563 |
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3620.11028563 |
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620.11028563 |
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620.11028563 |
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10.1515/9783110738087 |
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1301548073 |
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