Advanced Smart Hydrogel Modeling provides structured computational models alongside experimental validation for predicting hydrogel performance under complex biochemical and physical stimuli. Guidance on using these models in specific biomedical and engineering applications is also covered, as are the latest developments in the area of hydrogels. Stimuli discussed include magnetic field, pressure coupled with temperature, pH coupled with magnetic field, salt concentration, light, glucose or carbohydrate concentration, urea concentration, and pH coupled with oxygen concentration.The book also includes a chapter discussing the plant mimosa pudica as a smart natural plant system, focusing on two-dimensional biochemical-electrical-mechanical transient models to capture its rapid collapse and slow recovery movements, providing a bridge from smart artificial synthesis materials to smart natural materials. - Describes the theoretical modeling of smart hydrogels under various stimuli, applying the models to different biomedical and engineering settings - Includes magnetic field, salt concentration, light, urea concentration, and more - Covers the latest developments in the area of smart hydrogels

Dr. Li's research interests include the multiphysics modelling of soft matters, development of highly efficient numerical computational methodology, simulation of sustainable energy, and structural dynamics. He is the author of Smart Hydrogel Modeling, and co-author of Reduced Modeling of Planar Fuel Cells; Meshless Methods and Their Numericl Properties; and Rotating Shell Dynamics. He has authored or co-authored over 150 articles published in an array of international journals, and was awarded Winner of Top Project of the Singapore Maritime Institute Forum-Research Showcase 2015.