Results 181 to 190 of about 28,609 (295)
As‐spun carbon materials produced from Lignosulfonate, gelatin, and alginate, selected for water solubility, and ability to produce templated sustainable carbon nanostructures. Gelatin and alginate are sacrificial during thermal processing, allowing the production of engineered high surface area nanostructures, which are further characterized for ...
Judith Miralda‐Jalle +6 more
wiley +1 more source
Conductive Hydrogels for Exogenous Sensing and Cell Fate Control
We engineer electrically conductive hydrogels by combining sulfated glycosaminoglycans with semiconducting polymers. These hydrogels bind bioactive proteins, including growth factors, whose release or retention can be modulated by low‐voltage stimulation. The hydrogels are also integrated as 3D channels in organic electrochemical transistors as part of
Teuku Fawzul Akbar +15 more
wiley +1 more source
Multi-Scale Free-Form Surface Description and Curvature Estimation
A novel technique for multi-scale smoothing of a free-form 3-D surface is presented. Complete triangulated models of 3-D objects are constructed at our center [4] and using a local parametrization technique, are then smoothed using a 2-D Gaussian filter.
Yuen, P, Mokhtarian, F, Khalili, N
core
Polynomial translation surfaces of Weingarten types in Euclidean 3-space
Yoon Dae
doaj +1 more source
ABSTRACT Accurately knowing the frontier orbital energies of the structurally disordered small‐molecule organic semiconductors that are used in optoelectronic devices such as organic light‐emitting diodes is required to rationally improve their performance. Here, we show that these energies can be deduced with a large accuracy from the peak energies of
Christian B. McDonald +7 more
wiley +1 more source
Weaving Intelligence: Thermally Drawn Multimaterial Fibers Toward AI‐Enabled Smart Textiles
Thermally drawn multimaterial fibers are rapidly advancing as intelligent structural units for next‐generation smart textiles. Integrating multimaterial architectures with neuromorphic and spiking‐neural‐network principles enables fabrics that can sense, compute, and adapt autonomously.
Vuong Dinh Trung +9 more
wiley +1 more source
We introduce a computational workflow that combines quantum chemical calculations and machine learning techniques to predict the catalytic performance of a wide range of catalysts in the nitrogen reduction reaction (NRR). The analysis of the trained models provides insights into the complex structure–activity relationship in experimental catalytic ...
Leonardo Di Ciano +5 more
wiley +1 more source
Atomically precise functionalization by N‐heterocyclic carbenes enhances the catalytic efficiency of macroscopically defined step edges toward electrochemical CO2${\rm CO}_2$ reduction. Sub‐molecular imaging reveals conformational differences between specific NHCs, which can be correlated with their catalytic performance. Photoelectron spectroscopy and
Philipp Wiesener +9 more
wiley +1 more source
Impact of negative Gaussian curvature of nanoparticles on cellular uptake
Nanoparticles (NPs) have proven effective for delivering drugs, genes, diagnostics, and vaccines into target cells. Cellular uptake of NPs usually involves endocytosis mechanisms.
Pandey, Pramina Kumari, Mishra, Abhijit
core
Super‐Resolution Ultrasound Based Cell Tracking With Polymeric Nanobubbles
This study presents a super‐resolution ultrasound platform for tracking cells in vivo. Biocompatible polymeric nanobubbles are used as highly echogenic intracellular labels. Following the injection of cells and microbubbles, ultrasound localization microscopy (ULM) can dynamically match the microvascular architecture and individual cell trajectories ...
Junlin Chen +19 more
wiley +1 more source

