Developing robust catalysts for ammonia electrochemical oxidation (AOR) is essential for advancing NH3 utilization technologies. This review summarizes recent progress in catalyst design and mechanistic understanding of AOR. In addition, it systematically investigates strategies to improve AOR performance for various types of catalysts.
Yike Ye +4 more
wiley +1 more source
The collaborative evolution of trust, information flow, and social cooperation: a study on network stability based on dynamic game models. [PDF]
Weiqi L, Jun Y, Jieyu X.
europepmc +1 more source
Ab initio machine-learning simulation of calcium carbonate from aqueous solutions to the solid state. [PDF]
Piaggi PM, Gale JD, Raiteri P.
europepmc +1 more source
Structural stability-guided scaffold hopping and computational modeling of tankyrase inhibitors targeting colorectal cancer. [PDF]
Alshahrani MM.
europepmc +1 more source
High-throughput design of bimetallic materials <i>via</i> multimodal machine learning and the accessibility index. [PDF]
Gu Y +12 more
europepmc +1 more source
Intelligent generation and optimization of resources in music teaching reform based on artificial intelligence and deep learning. [PDF]
Cheng D, Qu X.
europepmc +1 more source
Vaccination games of boundedly rational parents toward new childhood immunization. [PDF]
Yin W, Ndeffo-Mbah ML, Oraby T.
europepmc +1 more source
A NOTE ON STABILITY OF ERROR BOUNDS IN STATISTICAL LEARNING THEORY [PDF]
We consider a wide class of error bounds developed in the context of statistical learning theory which are expressed in terms of functionals of the regression function, for instance, its norm in a reproducing kernel Hilbert space or other functional space.
Ming Li, Andrea Caponnetto
openalex +2 more sources

