Results 251 to 260 of about 600,622 (298)
Bio‐based and (semi‐)synthetic zwitterion‐modified novel materials and fully synthetic next‐generation alternatives show the importance of material design for different biomedical applications. The zwitterionic character affects the physiochemical behavior of the material and deepens the understanding of chemical interaction mechanisms within the ...
Theresa M. Lutz +3 more
wiley +1 more source
Sharp Conditions for the BBM Formula and Asymptotics of Heat Content-Type Energies. [PDF]
Gennaioli L, Stefani G.
europepmc +1 more source
This review explores functional and responsive materials for triboelectric nanogenerators (TENGs) in sustainable smart agriculture. It examines how particulate contamination and dirt affect charge transfer and efficiency. Environmental challenges and strategies to enhance durability and responsiveness are outlined, including active functional layers ...
Rafael R. A. Silva +9 more
wiley +1 more source
A meta-interactive neural network for solving time-varying quadratic programming problems. [PDF]
Zhang Z, Sun X, Liu Y, Luo Y.
europepmc +1 more source
Highly Selective Toward HER or CO2RR by Regulating Cu Single and Dual Atoms on g‐C3N4
This systematic study provides insights into the design of electrocatalysts for hydrogen evolution reaction (HER) and carbon dioxide reduction (CO2RR). It serves as a useful guide for tuning catalyst architecture toward efficient multifunctional performance by varying synthetic parameters, demonstrating the impact of copper (Cu) species ranging from ...
Wan‐Ting Chen +9 more
wiley +1 more source
Vocal convergence during formation of social relationships in vampire bats. [PDF]
Vrtilek JK +4 more
europepmc +1 more source
SUSTAINABILITY AND GDP: CONVERGING OR DIVERGING? - AN ECONOMETRIC ANALYSIS
Ashutosh Yadav +2 more
openalex +1 more source
Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore +7 more
wiley +1 more source
Thermal Phase‐Modulation of Thickness‐Dependent CVD‐Grown 2D In2Se3
A comprehensive study of CVD‐grown 2D In2Se3 reveals a distinct thickness‐dependent phase landscape and a reversible, thermally driven transformation between β″ and β* variants. In situ TEM electron diffraction and Raman spectroscopy reveal structural dynamics, while the structural invariance of the α‐phase in ultrathin regimes highlights its stability—
Dasun P. W. Guruge +6 more
wiley +1 more source
Design of composite adaptive controller with multilateral adaptive learning mechanism. [PDF]
Niu C, Yao Y, Zhang Z, Zuo M.
europepmc +1 more source

