Results 201 to 210 of about 148,682 (379)
Optimizing operating conditions and stability evaluation of Fe/Co-NC catalyst in proton exchange membrane fuel cell. [PDF]
Gharibi H +4 more
europepmc +1 more source
Under the weakly alkaline condition, at pH 12, the *OH adsorption–mediated mechanism of direct aldehyde oxidation is demonstrated to complete HMF oxidation to FDCA, obtaining >95% selectivity and yield. In OH−‐deficient media, high FDCA selectivity is achieved on the CuO/NiOOH interface, a synergistic active site, where Cu enhances *OH utilization, and
Eunchong Lee +8 more
wiley +1 more source
Engineering Doping and Vacancy in a C<sub>3</sub>N<sub>4</sub> Electrocatalyst with Ni<sub>4</sub>Mo Cocatalyst for Efficient Alkaline Hydrogen Evolution. [PDF]
Lin HA +4 more
europepmc +1 more source
This study employs a nanogap‐induced microwave discharge strategy to pretreat coke deposits on iron‐based catalysts with engineered nanogaps, causing ultrarapid heating to 1990 K within seconds, selectively eliminating >70% surface carbon deposits and converting waste plastics and greenhouse gases into syngas.
Xi Shen +4 more
wiley +1 more source
Highly Selective Hydrogen Peroxide Production Using an AgPd-Based Electrocatalyst with Ultralow Pd Loading. [PDF]
Oliveira ES +10 more
europepmc +1 more source
Unraveling the Origin of Exceptional Activity in NiMo Alloys for Alkaline Hydrogen Evolution
This study resolves the controversy regarding the active origin of Nickel‐molybdenum (NiMo) alloys for alkaline hydrogen evolution. By combining surface Pourbaix diagrams with microkinetic modeling, we demonstrate that the O‐covered Ni3Mo surface drives activity through a synergistic mechanism: Mo sites facilitate water dissociation while adjacent Ni ...
Yuefeng Zhang +4 more
wiley +1 more source
New Paste Electrode Based on Copper and Gallium Mixed Metal Oxides-Decorated CNT for Highly Electrocatalyzed Hydrogen Evolution Reaction. [PDF]
Barrientos C +6 more
europepmc +1 more source
Hierarchical Embedded Sphere Model combines DFT and interpretable machine learning to decode catalytic activity on TM‐doped MO2. It disentangles global electronic, active‐site, and local coordination effects, revealing two activation mechanisms: dopant‐driven (Rh@MO2) and coordination‐mediated (Fe@ZrO2).
Ziyuan Li +5 more
wiley +1 more source

