Results 291 to 300 of about 254,889 (389)
Noninvasive Quantitative Evaluation of Proliferative Lupus Nephritis Based on Ultrasonic Viscoelastic Imaging. [PDF]
Yuan H, Chen Y, Wei L, Liao X, Gao Y.
europepmc +1 more source
Electrostatically Reinforced Double Network Granular Hydrogels
Electrostatically reinforced double network granular hydrogels (DNGHs) with cartilage‐like fracture energy are introduced. An empirical model predicts the composition‐dependent fracture energy based on dissipation zone size, contact area, and inter‐particle adhesion energy. Thanks to their granular structure and the inter‐particle attraction, the DNGHs
Tianyu Yuan+3 more
wiley +1 more source
Dynamic Behavior of PVC Gel Actuators: Nonlinear Effects of Viscoelasticity and Electromechanical Coupling. [PDF]
Xiao Y, Chen Z, Wang Y, Lu H, Luo B.
europepmc +1 more source
Machine Learning‐Enhanced Optimization for High‐Throughput Precision in Cellular Droplet Bioprinting
A high‐throughput droplet‐based cellular bioprinting platform enhanced with machine learning optimizes five key printing parameters—bioink viscosity, nozzle size, printing time, printing pressure, and cell concentration—to enable accurate prediction of droplet size.
Jaemyung Shin+7 more
wiley +1 more source
Unified Analysis of Viscoelasticity and Viscoplasticity Using the Onsager Variational Principle. [PDF]
Cho KS.
europepmc +1 more source
Self‐Catalyzed Chemically Coalescing Liquid Metal Emulsions
A new type of liquid metal emulsion is developed that chemically activates and becomes electrically conductive under mild thermal stimulus. The activation mechanism occurs through a unique set of catalytic dehalogenation and chemical oxide etching reactions. These emulsions are 3D printable and exhibit high shape retention after being heated.
Stephanie F. Zopf+8 more
wiley +1 more source
A Physics-Guided Machine Learning Model for Predicting Viscoelasticity of Solids at Large Deformation. [PDF]
Qin B, Zhong Z.
europepmc +1 more source