Matches in SemOpenAlex for { <https://semopenalex.org/work/W4322489504> ?p ?o ?g. }
- W4322489504 endingPage "185" @default.
- W4322489504 startingPage "179" @default.
- W4322489504 abstract "The contradiction between the importance of materials to modern society and their slow development process has led to the development of multiple methods to accelerate materials discovery. The recently emerged concept of intelligent laboratories integrates the developments in fields of high-throughput experimentation, automation, theoretical computing, and artificial intelligence to form a system that can autonomously carry out designed experiments and make scientific discoveries. We present the basic concepts and the foundations of this new research paradigm, demonstrate its typical application scenarios through case studies, and envision a collaborative human-machine meta laboratory in the future." @default.
- W4322489504 created "2023-02-28" @default.
- W4322489504 creator A5001647002 @default.
- W4322489504 creator A5028753640 @default.
- W4322489504 creator A5058314532 @default.
- W4322489504 creator A5087390873 @default.
- W4322489504 date "2023-02-01" @default.
- W4322489504 modified "2023-10-17" @default.
- W4322489504 title "Next-generation intelligent laboratories for materials design and manufacturing" @default.
- W4322489504 cites W1976492731 @default.
- W4322489504 cites W1978747175 @default.
- W4322489504 cites W1986983782 @default.
- W4322489504 cites W1992985800 @default.
- W4322489504 cites W2043898072 @default.
- W4322489504 cites W2053161982 @default.
- W4322489504 cites W2058557544 @default.
- W4322489504 cites W2092070658 @default.
- W4322489504 cites W2114804859 @default.
- W4322489504 cites W2117363206 @default.
- W4322489504 cites W2123306226 @default.
- W4322489504 cites W2131686485 @default.
- W4322489504 cites W2134329894 @default.
- W4322489504 cites W2146216242 @default.
- W4322489504 cites W2334820078 @default.
- W4322489504 cites W2347129741 @default.
- W4322489504 cites W2515090858 @default.
- W4322489504 cites W2558921396 @default.
- W4322489504 cites W2593855134 @default.
- W4322489504 cites W2775714759 @default.
- W4322489504 cites W2783428669 @default.
- W4322489504 cites W2788545772 @default.
- W4322489504 cites W2884430236 @default.
- W4322489504 cites W2891182990 @default.
- W4322489504 cites W2902441058 @default.
- W4322489504 cites W2910636130 @default.
- W4322489504 cites W2914605717 @default.
- W4322489504 cites W2948382874 @default.
- W4322489504 cites W2968071222 @default.
- W4322489504 cites W3015947126 @default.
- W4322489504 cites W3016862866 @default.
- W4322489504 cites W3018637171 @default.
- W4322489504 cites W3024236153 @default.
- W4322489504 cites W3030627920 @default.
- W4322489504 cites W3031157367 @default.
- W4322489504 cites W3042021489 @default.
- W4322489504 cites W3047184465 @default.
- W4322489504 cites W3091684735 @default.
- W4322489504 cites W3100632886 @default.
- W4322489504 cites W3107581532 @default.
- W4322489504 cites W3182797044 @default.
- W4322489504 cites W3183861986 @default.
- W4322489504 cites W3212601637 @default.
- W4322489504 cites W4200241887 @default.
- W4322489504 cites W4210412723 @default.
- W4322489504 cites W4212913440 @default.
- W4322489504 cites W4224236348 @default.
- W4322489504 cites W4226077263 @default.
- W4322489504 cites W4282837156 @default.
- W4322489504 cites W4295022004 @default.
- W4322489504 cites W4296154431 @default.
- W4322489504 cites W4297324421 @default.
- W4322489504 cites W4302425308 @default.
- W4322489504 cites W4303449037 @default.
- W4322489504 cites W4306698380 @default.
- W4322489504 cites W4307410169 @default.
- W4322489504 doi "https://doi.org/10.1557/s43577-023-00481-z" @default.
- W4322489504 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/36960275" @default.
- W4322489504 hasPublicationYear "2023" @default.
- W4322489504 type Work @default.
- W4322489504 citedByCount "2" @default.
- W4322489504 countsByYear W43224895042023 @default.
- W4322489504 crossrefType "journal-article" @default.
- W4322489504 hasAuthorship W4322489504A5001647002 @default.
- W4322489504 hasAuthorship W4322489504A5028753640 @default.
- W4322489504 hasAuthorship W4322489504A5058314532 @default.
- W4322489504 hasAuthorship W4322489504A5087390873 @default.
- W4322489504 hasBestOaLocation W43224895041 @default.
- W4322489504 hasConcept C111919701 @default.
- W4322489504 hasConcept C115901376 @default.
- W4322489504 hasConcept C117671659 @default.
- W4322489504 hasConcept C127413603 @default.
- W4322489504 hasConcept C171250308 @default.
- W4322489504 hasConcept C192562407 @default.
- W4322489504 hasConcept C201995342 @default.
- W4322489504 hasConcept C41008148 @default.
- W4322489504 hasConcept C78519656 @default.
- W4322489504 hasConcept C85135244 @default.
- W4322489504 hasConcept C98045186 @default.
- W4322489504 hasConceptScore W4322489504C111919701 @default.
- W4322489504 hasConceptScore W4322489504C115901376 @default.
- W4322489504 hasConceptScore W4322489504C117671659 @default.
- W4322489504 hasConceptScore W4322489504C127413603 @default.
- W4322489504 hasConceptScore W4322489504C171250308 @default.
- W4322489504 hasConceptScore W4322489504C192562407 @default.
- W4322489504 hasConceptScore W4322489504C201995342 @default.
- W4322489504 hasConceptScore W4322489504C41008148 @default.
- W4322489504 hasConceptScore W4322489504C78519656 @default.
- W4322489504 hasConceptScore W4322489504C85135244 @default.