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10.1038/s41467-018-03154-7 http://scihub22266oqcxt.onion/10.1038/s41467-018-03154-7 C5834624!5834624 !29500429     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=29500429 &cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215 Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\29500429 .jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       Nat+Commun 2018 ; 9 (1 ): 931 Nephropedia Template TP {{tp|p=29500429 |t=2018. Rotating robots move collectively and self-organize |pdf=|usr=}}{{29500429 }} gab.com Text Rotating robots move collectively and self-organize JO: Nat Commun http://www.kidney.de/pget.php?&tw=1&pmid=29500429 #FOAvip Biological organisms and artificial active particles self-organize into swarms and patterns. Open questions concern the design of emergent phenomena by choosing appropriate forms of activity and particle interactions. A particularly simple and versatile system are 3D-printed robots on a vibrating table that can perform self-propelled and self-spinning motion. Here we study a mixture of minimalistic clockwise and counter-clockwise rotating robots, called rotors. Our experiments show that rotors move collectively and exhibit super-diffusive interfacial motion and phase separate via spinodal decomposition. On long time scales, confinement favors symmetric demixing patterns. By mapping rotor motion on a Langevin equation with a constant driving torque and by comparison with computer simulations, we demonstrate that our macroscopic system is a form of active soft matter. Twit Text FOAVip Rotating robots move collectively and self-organize ????Nat Commun http://www.kidney.de/pget.php?&tw=1&pmid=29500429 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=29500429 #FOAvip English Wikipedia <ref>{{Cite pmid|29500429 }}</ref> Rotating robots move collectively and self-organize #MMPMID29500429 Scholz C ; Engel M ; Pöschel T Nat Commun 2018[Mar]; 9 (1 ): 931 PMID29500429 show ga Biological organisms and artificial active particles self-organize into swarms and patterns. Open questions concern the design of emergent phenomena by choosing appropriate forms of activity and particle interactions. A particularly simple and versatile system are 3D-printed robots on a vibrating table that can perform self-propelled and self-spinning motion. Here we study a mixture of minimalistic clockwise and counter-clockwise rotating robots, called rotors. Our experiments show that rotors move collectively and exhibit super-diffusive interfacial motion and phase separate via spinodal decomposition. On long time scales, confinement favors symmetric demixing patterns. By mapping rotor motion on a Langevin equation with a constant driving torque and by comparison with computer simulations, we demonstrate that our macroscopic system is a form of active soft matter. äRotating robots move collectively and self-organize (epmc).pdf DeepDyve Pubget Overpricing