Results 151 to 160 of about 1,614,438 (324)
Shape‐Changing Multiphase Microparticles from Complex Liquid Crystal Emulsions
Liquid crystalline network (LCN) microparticles are prepared from single, double (Janus), and triple emulsions through a simple and scalable bulk‐emulsification strategy. Under heating, the particles exhibit robust, reversible, large‐amplitude deformations that depend both on the morphology and the liquid crystals director field configuration.
Marco Turriani +3 more
wiley +1 more source
Effective descriptions of bosonic systems can be considered complete. [PDF]
Arzani F, Booth RI, Chabaud U.
europepmc +1 more source
On the upper bounds of the Schur indices of simple finite groups of Lie type [PDF]
Zyozyu Ohmori
openalex +1 more source
Computational Modeling Meets 3D Bioprinting: Emerging Synergies in Cardiovascular Disease Modeling
Emerging advances in three‐dimensional bioprinting and computational modeling are reshaping cardiovascular (CV) research by enabling more realistic, patient‐specific tissue platforms. This review surveys cutting‐edge approaches that merge biomimetic CV constructs with computational simulations to overcome the limitations of traditional models, improve ...
Tanmay Mukherjee +7 more
wiley +1 more source
The impact of preparation dimensions and material choice on stress distribution in MOD inlays: a 3D finite element study. [PDF]
Chen S, Chen R, Chen Y, Zheng Z, Lin J.
europepmc +1 more source
Understanding the Effects of Conductive Polymer Electrode Coating on Recorded Neural Signals
Conductive polymer coatings are widely explored to improve the quality of signals recorded with chronically implanted neural electrodes, offering enhanced biocompatibility along with reduced electrode impedance. Combining computational modelling and data from PEDOT:PTS coated and PtIr electrodes in rats, we show that improvements in signal quality with
Karthik Sridhar +4 more
wiley +1 more source

