Reduction of Transition-Metal Columbite-Tantalite as a Highly Efficient Electrocatalyst for Water Splitting

Bacirhonde, Patrick M.; Dzade, Nelson Y.; Chalony, Carmen; Park, Jeesoo; Jeong, Euigyung; Afranie, Emmanuel O.; Lee, Sunny; Kim, Cheol Sang; Kim, Do Hwan; Park, Chan Hee

doi:10.1021/acsami.1c21742

Cited by 9 publications

(3 citation statements)

References 72 publications

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“…Table 4 is the result for FeTa 2 O 6 (mp-31755), an ordered tapiolite [71], a cation-ordered derivative of the rutile structure [72,73], of which antiferromagnetism was investigated [72,[74][75][76][77]. Its space group P 4 2 {mnm was found as the first scored one.…”

Section: Conceptmentioning

confidence: 99%

Graph-Text Contrastive Learning of Inorganic Crystal Structure toward a Foundation Model of Inorganic Materials

Ozawa,

Suzuki,

Tonogai

et al. 2024

Preprint

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Developing foundation models for materials science has attracted attention. However, there is a lack of work on inorganic materials due to the difficulty in the comprehensive representation of geometric concepts composing crystals, from the local atomic environments, their connections, and the global symmetries. We present a contrastive learning of inorganic crystal structure (CLICS) for embedding the geometric concepts, which contrasts texts representing the contextual patterns of geometries with the crystal graphs. We demonstrate that the geometric concepts are integrally embedded on CLICS feature space, through experiments of concept retrieval from crystal graphs, similar structure search, and few-shot/imbalanced crystal structure classification.

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Section: Conceptmentioning

confidence: 99%

Graph-Text Contrastive Learning of Inorganic Crystal Structure toward a Foundation Model of Inorganic Materials

Ozawa,

Suzuki,

Tonogai

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

“…Table 4 is the result for FeTa 2 O 6 (mp-31755), an ordered tapiolite [70], a cation-ordered derivative of the rutile structure [71,72], of which antiferromagnetism was investigated [71,[73][74][75][76]. Its space group P 4 2 {mnm was found as the first scored one.…”

Section: Retrieval Accuracies Of Space Group and Local Atomic Environ...mentioning

confidence: 99%

Graph-Text Contrastive Learning of Inorganic Crystal Structure toward a Foundation Model of Inorganic Materials

Ozawa,

Suzuki,

Tonogai

et al. 2024

Preprint

View full text Add to dashboard Cite

Developing foundation models for materials science has attracted attention. However, there is a lack of studies on inorganic materials due to the difficulty in the comprehensive representation of geometric concepts composing crystals: local atomic environments, their connections, and the global symmetries. We present a contrastive learning of inorganic crystal structure (CLICS) for embedding the geometric concepts, which contrasts texts representing the contextual patterns of geometries with the crystal graphs. We demonstrate that the geometric concepts are integrally embedded on the CLICS feature space, through experiments of concept retrieval from crystal graphs, similar structure search, and few-shot/imbalanced crystal structure classification.

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“…In this review, we first introduce the basic mechanism of water electrolysis with manganese-based catalytic materials and then systematically summarize the design strategy of manganese-based electrocatalysts to deal with the existing shortcomings of their applications. Although manganese-based materials have great potential as catalysts for water electrolysis, many challenges remain to be solved [ 110 , 111 , 112 ]. We concluded that the broad strategy is currently interface engineering and defect engineering.…”

Section: Conclusion and Future Perspectivesmentioning

confidence: 99%

Recent Advances in Manganese-Based Materials for Electrolytic Water Splitting

Zhou

Liu

et al. 2023

IJMS

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Developing earth-abundant and highly effective electrocatalysts for electrocatalytic water splitting is a prerequisite for the upcoming hydrogen energy society. Recently, manganese-based materials have been one of the most promising candidates to replace noble metal catalysts due to their natural abundance, low cost, adjustable electronic properties, and excellent chemical stability. Although some achievements have been made in the past decades, their performance is still far lower than that of Pt. Therefore, further research is needed to improve the performance of manganese-based catalytic materials. In this review, we summarize the research progress on the application of manganese-based materials as catalysts for electrolytic water splitting. We first introduce the mechanism of electrocatalytic water decomposition using a manganese-based electrocatalyst. We then thoroughly discuss the optimization strategy used to enhance the catalytic activity of manganese-based electrocatalysts, including doping and defect engineering, interface engineering, and phase engineering. Finally, we present several future design opportunities for highly efficient manganese-based electrocatalysts.

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Reduction of Transition-Metal Columbite-Tantalite as a Highly Efficient Electrocatalyst for Water Splitting

Cited by 9 publications

References 72 publications

Graph-Text Contrastive Learning of Inorganic Crystal Structure toward a Foundation Model of Inorganic Materials

Graph-Text Contrastive Learning of Inorganic Crystal Structure toward a Foundation Model of Inorganic Materials

Graph-Text Contrastive Learning of Inorganic Crystal Structure toward a Foundation Model of Inorganic Materials

Recent Advances in Manganese-Based Materials for Electrolytic Water Splitting

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