Is ChatGPT a Reliable Source for Writing Review Articles in Catalysis Research? A Case Study on CO2 Hydrogenation to Higher Alcohols

Zhong, Qitong; Tan, Xin; Du, Ruixing; Liu, Jiacheng; Liao, Longfei; Wang, Cheng; Sun, Ruiyan; Tang, Zhenchen; Ren, Jie; Mebrahtu, Chalachew; Zhu, Feng

doi:10.20944/preprints202302.0292.v1

Cited by 9 publications

(10 citation statements)

References 60 publications

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“…This rigorous evaluation helped to ensure and relying on only a few articles 29,30 or using these NLP tools in a general fashion. 31 Unlike these previous analyses, our approach considers a larger corpus and has a broader scope: CO 2 catalysts Figure 2. An illustration of the pipeline used in this work.…”

Section: Methodsmentioning

confidence: 99%

“…This rigorous evaluation helped to ensure the accuracy and effectiveness of our strategy. It is worth noting that similar approaches have been attempted recently in the field of the CO 2 RR, but with a narrower focus on Cu-based catalysts for CO 2 ER and relying on only a few articles , or using these NLP tools in a general fashion . Unlike these previous analyses, our approach considers a larger corpus and has a broader scope: CO 2 catalysts beyond Cu-based materials.…”

Section: Methodsmentioning

confidence: 99%

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CO₂ Reduction beyond Copper-Based Catalysts: A Natural Language Processing Review from the Scientific Literature

Bandeira,

Ferreira,

Almeida

et al. 2024

ACS Sustainable Chem. Eng.

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Carbon dioxide (CO 2 ) is a prominent greenhouse gas that contributes significantly to global warming. To combat this issue, one strategy is the conversion of CO 2 into alcohols and hydrocarbons, which can be used as fuels and chemical feedstocks. Consequently, a substantial volume of scientific literature has been dedicated to investigating different materials and reaction conditions to facilitate the CO 2 reduction reaction (CO 2 RR) into these so-called high-value products. However, the vastness of this literature makes it challenging to stay updated on recent discoveries and review the most promising materials and conditions that have been explored. To address this issue, we applied natural language processing tools to extract valuable data from 7292 published articles in the scientific literature. Our analysis revealed the emergence of new materials such as cesium−lead−bromide perovskites and bismuth oxyhalides that have been recently used in the CO 2 RR and identified Bi-based catalysts as the most selective for HCOO − production. Furthermore, we gleaned insights into the composition of other elements and materials commonly employed in the CO 2 RR, their relationship to product distribution, and the prevalent electrolytes used in the CO 2 electrochemical reduction. Our findings can serve as a foundation for future investigations in the realm of catalysts for CO 2 RRs, offering insights into the most promising materials and conditions to pursue further research.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

CO₂ Reduction beyond Copper-Based Catalysts: A Natural Language Processing Review from the Scientific Literature

Bandeira,

Ferreira,

Almeida

et al. 2024

ACS Sustainable Chem. Eng.

View full text Add to dashboard Cite

show abstract

“…This rigorous evaluation helps to ensure the accuracy and effectiveness of our strategy. It is worth noting that similar approaches have been attempted recently in the field of CO 2 RR, but with a narrower focus on Cubased catalysts for CO 2 ER and relying on only a few articles 29,30 , or using these NLP tools in a general fashion 31 . Unlike these previous analyses, our approach considers a larger corpus and has a broader scope: CO 2 catalysts beyond Cubased materials.…”

Section: Methodsmentioning

confidence: 99%

CO2 Reduction Beyond Copper-Based Catalysts: A Natural Language Processing Review From The Scientific Literature

Bandeira,

dos Santos,

de Almeida

et al. 2023

Preprint

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Carbon dioxide (CO2) is a prominent greenhouse gas contributing significantly to global warming. To combat this issue, one strategy is the conversion of CO2 into alcohols and hydrocarbons, which can be utilized as fuels and chemical feedstocks. Consequently, a substantial volume of scientific literature has been dedicated to investigating different materials and reaction conditions to facilitate the CO2 reduction reaction (CO2RR) into these so-called high-value products. However, the vastness of this literature makes it challenging to stay updated on recent discoveries and review the most promising materials and conditions that have been explored. To address this issue, we applied natural language processing (NLP) tools to extract valuable data from 7292 published articles in the scientific literature. Our analysis revealed the emergence of new materials such as cesium-lead-bromide perovskites and bismuth oxyhalides, which have recently been used in CO2RR, and identified Bi-based catalysts as the most selective for HCOO – production. Furthermore, we gleaned insights into the composition of other elements and materials commonly employed in CO2RR, their relationship to product distribution, and the prevalent electrolytes used in CO2 electrochemical reduction (CO2ER). Our findings can serve as a foundation for future investigations in the realm of catalysts for CO2 reduction reactions, offering insights into the most promising materials and conditions to pursue further research.

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“…Considering the strong ability of ChaGPT in writing, we believe that review article is a good experiment subject to test its capability on benefiting pharmacy. [20] In this study, we used the public available ChatGPT as a tool to generate a review article on the topic of "lipidbased drug delivery systems" by conversation. The ChatGPT was firstly asked to give a concise outline on this topic, and then required to give more scientific information the subtitles based on the given outline.…”

Section: Ofmentioning

confidence: 99%

How Can ChatGPT Benefit Pharmacy: A Case Report on Review Writing

Zhu¹,

Han²,

Chen³

et al. 2023

Preprint

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Artificial Intelligence (AI) is a breakthrough&ensp;technology that has been widely applied in many fields and its use in pharmacy is also gaining increasing attentions. Recently, ChatGPT, a newly developed virtual assistant and large language model, is showing strong ability in writing, which makes it a potential tool for review writing. Here in our study, we employ the public available ChatGPT and try to instruct it to generate a mini review on the topic of “lipid-based drug delivery systems” by conversation. Our results showed that ChatGPT can give reasonable outline for this topic and give seemingly sentences with concluding wording, which can give useful information to the readers. However, the accuracy and consistence of the review are not fully guaranteed and there is lack of reliable citations. Therefore, it is concluded that ChatGPT can only give general knowledge on the selected topic, but not capable of giving in-depth discussion. The generated review article can be a useful but occasionally unprecise electronic encyclopedia instead of rigorous scientific literature, which can give benefit for pharmaceutical education and interchange to some extent.

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Is ChatGPT a Reliable Source for Writing Review Articles in Catalysis Research? A Case Study on CO2 Hydrogenation to Higher Alcohols

Cited by 9 publications

References 60 publications

CO₂ Reduction beyond Copper-Based Catalysts: A Natural Language Processing Review from the Scientific Literature

CO₂ Reduction beyond Copper-Based Catalysts: A Natural Language Processing Review from the Scientific Literature

CO2 Reduction Beyond Copper-Based Catalysts: A Natural Language Processing Review From The Scientific Literature

How Can ChatGPT Benefit Pharmacy: A Case Report on Review Writing

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Is ChatGPT a Reliable Source for Writing Review Articles in Catalysis Research? A Case Study on CO2 Hydrogenation to Higher Alcohols

Cited by 9 publications

References 60 publications

CO2 Reduction beyond Copper-Based Catalysts: A Natural Language Processing Review from the Scientific Literature

CO2 Reduction beyond Copper-Based Catalysts: A Natural Language Processing Review from the Scientific Literature

CO2 Reduction Beyond Copper-Based Catalysts: A Natural Language Processing Review From The Scientific Literature

How Can ChatGPT Benefit Pharmacy: A Case Report on Review Writing

Contact Info

Product

Resources

About

CO₂ Reduction beyond Copper-Based Catalysts: A Natural Language Processing Review from the Scientific Literature

CO₂ Reduction beyond Copper-Based Catalysts: A Natural Language Processing Review from the Scientific Literature