Accelerated materials discovery: how to use artificial intelligence to speed up development
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...
Gespeichert in:
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Berlin ; Boston
De Gruyter
[2022]
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| Schriftenreihe: | De Gruyter STEM
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| Schlagworte: | |
| Online-Zugang: | FAB01 FAW01 FCO01 FHA01 FKE01 FLA01 UBT01 UPA01 Volltext |
| Zusammenfassung: | 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) |
| Beschreibung: | Description based on online resource; title from PDF title page (publisher's Web site, viewed 02. Mrz 2022) |
| Beschreibung: | 1 Online-Ressource (X, 205 Seiten) |
| ISBN: | 9783110738087 |
| DOI: | 10.1515/9783110738087 |
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| 520 | |a 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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Datensatz im Suchindex
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| illustrated | Not Illustrated |
| index_date | 2024-07-03T19:20:00Z |
| indexdate | 2024-07-10T09:23:41Z |
| institution | BVB |
| isbn | 9783110738087 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-033252906 |
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| owner_facet | DE-1043 DE-1046 DE-858 DE-Aug4 DE-859 DE-860 DE-739 DE-703 |
| physical | 1 Online-Ressource (X, 205 Seiten) |
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| spelling | Accelerated materials discovery how to use artificial intelligence to speed up development edited by Phil De Luna Berlin ; Boston De Gruyter [2022] © 2022 1 Online-Ressource (X, 205 Seiten) txt rdacontent c rdamedia cr rdacarrier De Gruyter STEM Description based on online resource; title from PDF title page (publisher's Web site, viewed 02. Mrz 2022) 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) In English Materialwirtschaft Materialwissenschaft künstliche Intelligenz maschinelles Lernen Künstliche Intelligenz (DE-588)4033447-8 gnd rswk-swf Werkstoffkunde (DE-588)4079184-1 gnd rswk-swf (DE-588)4143413-4 Aufsatzsammlung gnd-content Werkstoffkunde (DE-588)4079184-1 s Künstliche Intelligenz (DE-588)4033447-8 s DE-604 De Luna, Phil (DE-588)1259366618 edt Erscheint auch als Druck-Ausgabe 978-3-11-073804-9 Erscheint auch als Online-Ausgabe, EPUB 978-3-11-073325-9 https://doi.org/10.1515/9783110738087 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Accelerated materials discovery how to use artificial intelligence to speed up development Materialwirtschaft Materialwissenschaft künstliche Intelligenz maschinelles Lernen Künstliche Intelligenz (DE-588)4033447-8 gnd Werkstoffkunde (DE-588)4079184-1 gnd |
| subject_GND | (DE-588)4033447-8 (DE-588)4079184-1 (DE-588)4143413-4 |
| title | Accelerated materials discovery how to use artificial intelligence to speed up development |
| title_auth | Accelerated materials discovery how to use artificial intelligence to speed up development |
| title_exact_search | Accelerated materials discovery how to use artificial intelligence to speed up development |
| title_exact_search_txtP | Accelerated materials discovery how to use artificial intelligence to speed up development |
| title_full | Accelerated materials discovery how to use artificial intelligence to speed up development edited by Phil De Luna |
| title_fullStr | Accelerated materials discovery how to use artificial intelligence to speed up development edited by Phil De Luna |
| title_full_unstemmed | Accelerated materials discovery how to use artificial intelligence to speed up development edited by Phil De Luna |
| title_short | Accelerated materials discovery |
| title_sort | accelerated materials discovery how to use artificial intelligence to speed up development |
| title_sub | how to use artificial intelligence to speed up development |
| topic | Materialwirtschaft Materialwissenschaft künstliche Intelligenz maschinelles Lernen Künstliche Intelligenz (DE-588)4033447-8 gnd Werkstoffkunde (DE-588)4079184-1 gnd |
| topic_facet | Materialwirtschaft Materialwissenschaft künstliche Intelligenz maschinelles Lernen Künstliche Intelligenz Werkstoffkunde Aufsatzsammlung |
| url | https://doi.org/10.1515/9783110738087 |
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