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10.1021/acscentsci.8b00176 http://scihub22266oqcxt.onion/10.1021/acscentsci.8b00176 C6062836!6062836!30062108     free     free     free Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       ACS+Cent+Sci 2018 ; 4 (7): 793-804 Nephropedia Template TP {{tp|p=30062108|t=2018. Designing Algorithms To Aid Discovery by Chemical Robots |pdf=|usr=}}{{30062108}} gab.com Text Designing Algorithms To Aid Discovery by Chemical Robots JO: ACS Cent Sci http://www.kidney.de/pget.php?&tw=1&pmid=30062108 #FOAvip Recently, automated robotic systems have become very efficient, thanks to improved coupling between sensor systems and algorithms, of which the latter have been gaining significance thanks to the increase in computing power over the past few decades. However, intelligent automated chemistry platforms for discovery orientated tasks need to be able to cope with the unknown, which is a profoundly hard problem. In this Outlook, we describe how recent advances in the design and application of algorithms, coupled with the increased amount of chemical data available, and automation and control systems may allow more productive chemical research and the development of chemical robots able to target discovery. This is shown through examples of workflow and data processing with automation and control, and through the use of both well-used and cutting-edge algorithms illustrated using recent studies in chemistry. Finally, several algorithms are presented in relation to chemical robots and chemical intelligence for knowledge discovery. Twit Text FOAVip Designing Algorithms To Aid Discovery by Chemical Robots ????ACS Cent Sci http://www.kidney.de/pget.php?&tw=1&pmid=30062108 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=30062108 #FOAvip English Wikipedia <ref>{{Cite pmid|30062108}}</ref> Designing Algorithms To Aid Discovery by Chemical Robots #MMPMID30062108 Henson AB; Gromski PS; Cronin L ACS Cent Sci 2018[Jul]; 4 (7): 793-804 PMID30062108show ga Recently, automated robotic systems have become very efficient, thanks to improved coupling between sensor systems and algorithms, of which the latter have been gaining significance thanks to the increase in computing power over the past few decades. However, intelligent automated chemistry platforms for discovery orientated tasks need to be able to cope with the unknown, which is a profoundly hard problem. In this Outlook, we describe how recent advances in the design and application of algorithms, coupled with the increased amount of chemical data available, and automation and control systems may allow more productive chemical research and the development of chemical robots able to target discovery. This is shown through examples of workflow and data processing with automation and control, and through the use of both well-used and cutting-edge algorithms illustrated using recent studies in chemistry. Finally, several algorithms are presented in relation to chemical robots and chemical intelligence for knowledge discovery. äDesigning Algorithms To Aid Discovery by Chemical Robots (epmc).pdf DeepDyve Pubget Overpricing