Deep Learning‐Assisted Quantification of Atomic Dopants and Defects in 2D Materials
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DOI: 10.1002/advs.202101099
Abstract: Abstract Atomic dopants and defects play a crucial role in creating new functionalities in 2D transition metal dichalcogenides (2D TMDs). Therefore, atomic‐scale identification and their quantification warrant precise engineering that widens their application to many… read more here.
Keywords: deep learning; dopants defects; atomic dopants; quantification ... See more keywords
Synergistic Functionality of Dopants and Defects in Co-Phthalocyanine/B-CN Z-Scheme Photocatalysts for Promoting Photocatalytic CO2 Reduction Reactions.
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DOI: 10.1002/smll.202208179
Abstract: The realization of solar-light-driven CO2 reduction reactions (CO2 RR) is essential for the commercial development of renewable energy modules and the reduction of global CO2 emissions. Combining experimental measurements and theoretical calculations, to introduce boron… read more here.
Keywords: photocatalytic co2; dopants defects; co2 reduction; reduction reactions ... See more keywords