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10.1073/pnas.1418241112 http://scihub22266oqcxt.onion/10.1073/pnas.1418241112 C4371946!4371946!25737545     free     free     free Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\25737545.jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       Proc+Natl+Acad+Sci+U+S+A 2015 ; 112 (11): 3235-40 Nephropedia Template TP {{tp|p=25737545|t=2015. Locating landmarks on high-dimensional free energy surfaces |pdf=|usr=}}{{25737545}} gab.com Text Locating landmarks on high-dimensional free energy surfaces JO: Proc Natl Acad Sci U S A http://www.kidney.de/pget.php?&tw=1&pmid=25737545 #FOAvip The problem of generating and navigating high-dimensional free energy surfaces is a significant challenge in the study of complex systems. The approach introduced represents an advance in this area, and its ability to generate and organize the key features of a high-dimensional free energy surface, i.e., its landmarks, with high efficiency impacts numerous problems in the materials and biomolecular sciences for which prediction of optimal structures is key. These include polypeptide and nucleic acid structure and crystal design and structure prediction. Moreover, as the algorithm targets the free energy surface, candidate structures can be ranked based on their relative free energies, which is not possible with algorithms that target only the bare potential energy surface. Twit Text FOAVip Locating landmarks on high-dimensional free energy surfaces ????Proc Natl Acad Sci U S A http://www.kidney.de/pget.php?&tw=1&pmid=25737545 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=25737545 #FOAvip English Wikipedia <ref>{{Cite pmid|25737545}}</ref> Locating landmarks on high-dimensional free energy surfaces #MMPMID25737545 Chen M; Yu TQ; Tuckerman ME Proc Natl Acad Sci U S A 2015[Mar]; 112 (11): 3235-40 PMID25737545show ga The problem of generating and navigating high-dimensional free energy surfaces is a significant challenge in the study of complex systems. The approach introduced represents an advance in this area, and its ability to generate and organize the key features of a high-dimensional free energy surface, i.e., its landmarks, with high efficiency impacts numerous problems in the materials and biomolecular sciences for which prediction of optimal structures is key. These include polypeptide and nucleic acid structure and crystal design and structure prediction. Moreover, as the algorithm targets the free energy surface, candidate structures can be ranked based on their relative free energies, which is not possible with algorithms that target only the bare potential energy surface. äLocating landmarks on high-dimensional free energy surfaces (epmc).pdf DeepDyve Pubget Overpricing