Literature DB >> 28383012

Smart manufacturing must embrace big data.

Andrew Kusiak1.   

Abstract

Year:  2017        PMID： 28383012     DOI： 10.1038/544023a

Source DB:  PubMed          Journal:  Nature        ISSN： 0028-0836            Impact factor:   49.962


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  1 in total

1.  Organic materials for printed electronics.

Authors:  M Berggren; D Nilsson; N D Robinson
Journal:  Nat Mater       Date:  2007-01       Impact factor: 43.841
  1 in total
  5 in total

1.  Materials Science in the AI age: high-throughput library generation, machine learning and a pathway from correlations to the underpinning physics.

Authors:  Rama K Vasudevan; Kamal Choudhary; Apurva Mehta; Ryan Smith; Gilad Kusne; Francesca Tavazza; Lukas Vlcek; Maxim Ziatdinov; Sergei V Kalinin; Jason Hattrick-Simpers
Journal:  MRS Commun       Date:  2019       Impact factor: 2.566

2.  Make more digital twins.

Authors:  Fei Tao; Qinglin Qi
Journal:  Nature       Date:  2019-09       Impact factor: 49.962

Review 3.  A Primer on the Factories of the Future.

Authors:  Noble Anumbe; Clint Saidy; Ramy Harik
Journal:  Sensors (Basel)       Date:  2022-08-04       Impact factor: 3.847

4.  MOSS-Multi-Modal Best Subset Modeling in Smart Manufacturing.

Authors:  Lening Wang; Pang Du; Ran Jin
Journal:  Sensors (Basel)       Date:  2021-01-01       Impact factor: 3.576

5.  Implementation of a Six-Layer Smart Factory Architecture with Special Focus on Transdisciplinary Engineering Education.

Authors:  Benjamin James Ralph; Marcel Sorger; Benjamin Schödinger; Hans-Jörg Schmölzer; Karin Hartl; Martin Stockinger
Journal:  Sensors (Basel)       Date:  2021-04-22       Impact factor: 3.576
  5 in total

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