Results 271 to 280 of about 667,125 (317)
Approximate resolution convolution function for fitting a dispersion gap measured on a triple-axis spectrometer. [PDF]
Lenander EY +3 more
europepmc +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
Thermal-State Continuous-Variable Quantum Key Distribution Under the Effects of Gravity. [PDF]
Zhang L, Huang J, Zhou J.
europepmc +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
Ultraviolet metasurface-enabled flat-top beam shaping with size preservation uniformity and broadband robustness. [PDF]
Li W +8 more
europepmc +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
A First-Principles Thermodynamic Uncertainty Relation for Shortcuts to Adiabaticity. [PDF]
Perna GE, Centrone F, Calzetta E.
europepmc +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
DiGS: Depth-Initialized Gaussian Splatting for Single-Object Reconstruction. [PDF]
Meglioraldi J, Cascarano P, Marfia G.
europepmc +1 more source

