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Electrochemical CO2 reduction to valuable ethylene and ethanol offers a promising strategy to lower CO2 emissions while storing renewable electricity. Cu‐based catalysts have shown the potential for CO2‐to‐ethylene/ethanol conversion, but still suffer from low activity and selectivity. Herein, the effects of surface and interface structures in Cu‐based catalysts for CO2‐to‐ethylene/ethanol production...
Hydrogenation of diesters to diols is a vital process for chemical industry. The inexpensive Cu+/Cu0‐based catalysts are highly active for the hydrogenation of esters, however, how to efficiently tune the ratio of Cu+/Cu0 and stabilize the Cu+ is a great challenge. In this work, it is demonstrated that doped Ti ions can tune the ratio of Cu+/Cu0 and stabilize the Cu+ by the TiOCu bonds in Ti‐doped...
Neuromorphic systems aim to implement large‐scale artificial neural network on hardware to ultimately realize human‐level intelligence. The recent development of nonsilicon nanodevices has opened the huge potential of full memristive neural networks (FMNN), consisting of memristive neurons and synapses, for neuromorphic applications. Unlike the widely reported memristive synapses, the development...
Hollow nanostructures with mesoporous shells are attractive for their advantageous structure‐dependent high‐efficiency electrochemical catalytic performances. In this work, a novel nanostructure of Fe‐doped CoP hollow triangle plate arrays (Fe–CoP HTPAs) with unique mesoporous shells is designed and synthesized through a room‐temperature postsynthetic ligand exchange reaction followed by a facile...
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