Banca de QUALIFICAÇÃO: LUCAS BANDEIRA

Uma banca de QUALIFICAÇÃO de MESTRADO foi cadastrada pelo programa.
STUDENT : LUCAS BANDEIRA
DATE: 11/05/2023
TIME: 14:00
LOCAL: Auditório 801 no 8º andar do Bloco B da Universidade Federal do ABC
TITLE:

Using Natural Language Processing to Extract Data about CO2 Reduction Reaction from the Scientific Literature

PAGES: 44
BIG AREA: Ciências Exatas e da Terra
AREA: Química
SUMMARY:

In the last 70 years, CO2 emissions in the Earth’s atmosphere have drastically surged, leading to a

1ºC increase in the Earth’s temperature. Climate models project this rise to reach 2.1 to 2.5ºC in 2100.

An alternative to mitigate this issue is to convert carbon dioxide into compounds that can be used as

chemical feedstocks and fuels, creating a closed CO2 cycle. However, this process has to be mediated

by a catalyst that must be stable, selective, active, and easily accessible to be economically viable. It

is therefore understandable and desirable that the topic of CO2 reduction reaction (CO2RR) has been

addressed by several research groups, with more than 16000 articles already published. However, all

this literature hampers a manual and comprehensive review of all the structures and methods utilized.

Therefore, we employed natural language processing (NLP) to analyze the data already published on

this topic in the scientific literature. We have devised an in-house code to process and separate sentences

according to the sections they extracted. With these samples, we created a model to classify new sentences

or unidentified sentences into “abstract”, “introduction”, “methodology”, “results and discussion”, and

“conclusions”. Later, we used the cleaned text to generate word embedding models and assessed their

quality based on their ability to cluster common terms in CO2RR literature. Finally, we leveraged regular

expressions to extract information about materials composition, electrolytes, and some important metrics

reported in the literature in our corpus, the faradaic efficiency and the applied potential. We found that

Ni is one of the elements highly used in catalysts for CO2RR, being in the top-3 rank along with Cu and

Ag, and spotted a Cu-based material with an astonishingly low FE for methane. We plan to amplify

the data collected, so we can create an exhaustive database that may be used for reviewing this field

and maybe steer future research by providing some insights into materials and approaches that seem

promising.

COMMITTEE MEMBERS:
Presidente - Interno ao Programa - 1282172 - ROBERTO GOMES DE AGUIAR VEIGA
Membro Titular - Examinador(a) Externo ao Programa - 2364326 - ALEXANDRE DONIZETI ALVES
Membro Titular - Examinador(a) Externo ao Programa - 1673092 - RONALDO CRISTIANO PRATI
Membro Suplente - Examinador(a) Interno ao Programa - 1309493 - PEDRO ALVES DA SILVA AUTRETO
Membro Suplente - Examinador(a) Interno ao Programa - 2249395 - THIAGO BRANQUINHO DE QUEIROZ
Membro Suplente - Examinador(a) Externo ao Programa - 1544403 - MAURICIO DOMINGUES COUTINHO NETO