Use my Search Websuite to scan PubMed, PMCentral, Journal Hosts and Journal Archives, FullText. Kick-your-searchterm to multiple Engines kick-your-query now !>

A dictionary by aggregated review articles of nephrology, medicine and the life sciences Your one-stop-run pathway from word to the immediate pdf of peer-reviewed on-topic knowledge.

10.1038/s41467-025-67013-y http://scihub22266oqcxt.onion/10.1038/s41467-025-67013-y 41353253!?!41353253 Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=41353253&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       Nat+Commun 2025 ; ? (?): ? Nephropedia Template TP {{tp|p=41353253|t=2025. Thermal conductivity modeling beyond the dilute limit using a body-centered cubic framework for densely packed polymer composites |pdf=|usr=}}{{41353253}} gab.com Text Thermal conductivity modeling beyond the dilute limit using a body-centered cubic framework for densely packed polymer composites JO: Nat Commun http://www.kidney.de/pget.php?&tw=1&pmid=41353253 #FOAvip Existing models of thermal conductivity in polymer composites typically address dilute to semi-dilute filler concentrations (</= 40 vol%) yet fail to capture the strong interactions that arise when fillers are closely packed. In densely filled systems, these interactions reorganize heat transport according to the principles of thermal resistance, directing it along preferred pathways. In this study, we introduce a mechanistic thermal conductivity model based on a simplified body-centered cubic framework. This model effectively captures the essential impact of reduced interparticle distances and enhanced filler interactions in densely packed composites, enabling a more accurate description of heat flow by forcing it to follow the least-resistance pathways. This approach delivers high-precision predictions across a wide range of filler concentrations (0-68 vol%), spanning nearly the entire practical concentration range, and has been rigorously validated against diverse cross-material datasets. This model also can help to offer a physical interpretation of the thermal percolation transition, identifying both its underlying mechanism and the quantitative conditions for its onset. Its modular and computationally efficient design reduces reliance on extensive experimental testing, providing both a practical tool for optimizing composite design and a deeper quantitative understanding of thermal transport in composite materials. Twit Text FOAVip Thermal conductivity modeling beyond the dilute limit using a body-centered cubic framework for densely packed polymer composites ????Nat Commun http://www.kidney.de/pget.php?&tw=1&pmid=41353253 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=41353253 #FOAvip English Wikipedia <ref>{{Cite pmid|41353253}}</ref> Thermal conductivity modeling beyond the dilute limit using a body-centered cubic framework for densely packed polymer composites #MMPMID41353253 He L; Wu K; Fu Q Nat Commun 2025[Dec]; ? (?): ? PMID41353253show ga Existing models of thermal conductivity in polymer composites typically address dilute to semi-dilute filler concentrations ( ?Thermal conductivity modeling beyond the dilute limit using a body-cen(epmc).pdf DeepDyve Pubget Overpricing