Ammonia
synthesis in a plasma catalysis system coupling dielectric
barrier discharge and an alumina-loaded ruthenium catalyst was investigated.
The discharge energy, the N2 to H2 ratio, and
the reactant flow rate greatly affect the production of NH3 and the efficiency of energy. Higher ammonia synthesis rates and
higher energy yields were obtained at high discharge powers and flow
rates. An artificial neural network (ANN) was built to describe the
influence of operating parameters on the NH3 synthesis
performance, including ammonia synthesis rate and energy yield. The
proposed ANN model was trained using experimental data. The results
showed the N2 to H2 ratio was the most impactful
parameter with a relative importance of 41.7% on the model, followed
by the flow rate and discharge power of 32 and 26.3%, respectively.
This ANN model can effectively help to optimize the operating parameters
of the plasma catalysis system for NH3 synthesis and predict
the catalysis performance under specific situations.
Two-dimensional (2D) MoS2 is commonly used
as an anode
catalyst for electrochemical water splitting. However, the limited
active edge sites of 2D MoS2 have hindered its electrochemical
performance in electrochemical water splitting. Here, experimental
outcomes and density functional theory (DFT) calculations demonstrate
that the catalytic performance of inert 2D MoS2 surfaces
can be triggered by doping transition-metal atoms and introducing
S-vacancies. In this work, the catalytic activity of different metal-doped
(Cu, Mn, and Nb) 2D MoS2 with S-vacancies shows a great
difference among tested MoS2-based samples. Characterizations
verify the existence of dopant ions and S-vacancies. In particular,
the Cu-doped electrocatalyst exhibits a low overpotential of 197 mV
at 10 mA cm–2 in an acidic solution and superior
stability of less than 10 mV increase in overpotential after 12 h
of continuous hydrogen production process, proving that Cu doping
and introduced S-vacancies can benefit the electrochemical performance.
Moreover, DFT calculations reveal that S-vacancies and the further
introduction of different metal ions can alter the adsorption behavior
of H atoms by changing the d-band center of the in-plane Mo site neighboring
the doped heteroatom atoms and S-vacancy sites, which explains well
the superior performance of Cu-doped 2D MoS2.
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