Determination of Effective Heat-Transfer Coefficient for Dualfoil, Based on Full-Scale Cylindrical and Prismatic Cells [PDF]
William Tiedemann, John Newman
openalex +1 more source
Substrate Stress Relaxation Regulates Cell‐Mediated Assembly of Extracellular Matrix
Silicone‐based viscoelastic substrates with tunable stress relaxation reveal how matrix mechanics regulates cellular mechanosensing and cell‐mediated matrix remodelling in the stiff regime. High stress relaxation promotes assembly of fibronectin fibril‐like structures, increased nuclear localization of YAP and formation of β1 integrin‐enriched ...
Jonah L. Voigt +2 more
wiley +1 more source
Experimental investigation of heat transfer coefficient in pool boiling of hybrid nanofluid over grooved surfaces. [PDF]
Vasei Moghadam A +2 more
europepmc +1 more source
Recycling of Thermoplastics with Machine Learning: A Review
This review shows how machine learning is revolutionizing mechanical, chemical, and biological pathways, overcoming traditional challenges and optimizing sorting, efficiency, and quality. It provides a detailed analysis of effective feature engineering strategies and establishes a forward‐looking research agenda for a truly circular thermoplastic ...
Rodrigo Q. Albuquerque +5 more
wiley +1 more source
Prediction model of heat transfer coefficient for high pressure water descaling based on water flux. [PDF]
Gao P, Zhuo Y, Sun G.
europepmc +1 more source
Advances in Micro/Nanofiber‐Based Porous Materials for High‐Performance Thermal Insulation
Micro/nanofiber porous materials have engendered great interest in the thermal insulation field. Herein, the structural designs, fabrication techniques, and applications of the micro/nanofiber thermal insulation materials are systematically summarized.
Xiaobao Gong +5 more
wiley +1 more source
Intelligent Soft Sensor for Spindle Convective Heat Transfer Coefficient Under Varying Operating Conditions Using Improved Grey Wolf Optimization Algorithm. [PDF]
Pian J, Li G.
europepmc +1 more source
Establishment of the falling film evaporation model and correlation of the overall heat transfer coefficient. [PDF]
Fang J, Fang J, Li K, Diao M.
europepmc +1 more source
Advances in integrating artificial intelligence into 3D bioprinting are systematically reviewed here. Machine learning, computer vision, robotics, natural language processing, and expert systems are examined for their roles in optimizing bioprinting parameters, real‐time monitoring, quality control, and predictive maintenance.
Joao Vitor Silva Robazzi +10 more
wiley +1 more source

