Results 171 to 180 of about 1,797 (243)
The sulfonated zwitterionic photosensitizer (PYSO3) is synthesized by reacting maleic anhydride derivatives with 4‐aminopyridine to form PY, followed by sulfonation with 1,4‐butane sultone. It exhibits both photothermal and photodynamic properties, enabling effective eradication of MRSA and biofilms, as well as promoting wound healing in mice ...
Changxu Zhu +10 more
wiley +1 more source
Fluid-Structure Interaction Study of Transcatheter Aortic Valve Dynamics Using Smoothed Particle Hydrodynamics. [PDF]
Mao W, Li K, Sun W.
europepmc +1 more source
Abstract BACKGROUND Curcumin is a naturally derived polyphenol known for its potent biological properties. Its therapeutic potential, however, is hindered by low bioavailability. Nanostructured lipid carriers (NLCs) have emerged as advanced delivery systems to overcome such limitations. Natural deep eutectic solvents (NADESs) have garnered attention as
Kyriaki Safari +5 more
wiley +1 more source
Deformation of Soft Tissue and Force Feedback Using the Smoothed Particle Hydrodynamics. [PDF]
Liu X, Wang R, Li Y, Song D.
europepmc +1 more source
Laser ablation in liquid enables nanoparticle synthesis from diverse materials but remains less energy‐efficient than ablation in air. This study quantifies the absorption‐corrected ablation efficiency and experimentally confirms redeposition as the key loss mechanism using pump‐probe microscopy.
Maximilian Spellauge +9 more
wiley +1 more source
Landslides and tsunamis predicted by incompressible smoothed particle hydrodynamics (SPH) with application to the 1958 Lituya Bay event and idealized experiment. [PDF]
Xenakis AM +3 more
europepmc +1 more source
This work presents a structure‐aware graph convolutional network that models polymers as statistical ensembles to predict macroscopic properties. By combining topologically realistic graphs generated via kinetic Monte Carlo simulations with explicit molar mass distributions, the framework achieves high accuracy in classifying architectures and ...
Julian Kimmig +7 more
wiley +1 more source
This study establishes the relationship between loading conditions and loading results in graded density impactor (GDI)‐based controllable stress/strain‐rate loading via deep learning, and ultimately realizing the prediction of loading curves and design of loading conditions.
Yiwei Zhang +7 more
wiley +1 more source
Explicit‐Implicit Material Point Method for Dense Granular Flows With a Novel Regularized µ(I) Model
ABSTRACT The material point method (MPM) is widely employed to simulate granular flows. Although explicit time integration is favored in most current MPM implementations for its simplicity, it cannot rigorously incorporate the incompressible µ(I)‐rheology, an efficient model ubiquitously adopted in other particle‐based numerical methods. While operator‐
Hang Feng, Zhen‐Yu Yin
wiley +1 more source
Numerical calculation of protein-ligand binding rates through solution of the Smoluchowski equation using smoothed particle hydrodynamics. [PDF]
Pan W, Daily M, Baker NA.
europepmc +1 more source

