A corpus of CO₂ electrocatalytic reduction process extracted from the scientific literature.

ABSTRACT: The electrocatalytic CO₂ reduction process has gained enormous attention for both environmental protection and chemicals production. Thereinto, the design of new electrocatalysts with high activity and selectivity can draw inspiration from the abundant scientific literature. An annotated and verified corpus made from massive literature can assist the development of natural language processing (NLP) models, which can offer insight to help guide the understanding of these underlying mechanisms. To facilitate data mining in this direction, we present a benchmark corpus of 6,086 records manually extracted from 835 electrocatalytic publications, along with an extended corpus with 145,179 records in this article. In this corpus, nine types of knowledge such as material, regulation met

SUBMITTER: Wang L 

PROVIDER: S-EPMC10060421 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature