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dc.contributor.authorYeo, Byung Chul-
dc.contributor.authorNam, Hyunji-
dc.contributor.authorNam, Hyobin-
dc.contributor.authorKim, Min-Cheol-
dc.contributor.authorLee, Hong Woo-
dc.contributor.authorKim, Sung-Chul-
dc.contributor.authorWon, Sung Ok-
dc.contributor.authorKim, Donghun-
dc.contributor.authorLee, Kwan-Young-
dc.contributor.authorLee, Seung Yong-
dc.contributor.authorHan, Sang Soo-
dc.date.accessioned2024-01-19T14:03:25Z-
dc.date.available2024-01-19T14:03:25Z-
dc.date.created2021-10-21-
dc.date.issued2021-08-
dc.identifier.issn2057-3960-
dc.identifier.urihttps://pubs.kist.re.kr/handle/201004/116660-
dc.description.abstractTo accelerate the discovery of materials through computations and experiments, a well-established protocol closely bridging these methods is required. We introduce a high-throughput screening protocol for the discovery of bimetallic catalysts that replace palladium (Pd), where the similarities in the electronic density of states patterns were employed as a screening descriptor. Using first-principles calculations, we screened 4350 bimetallic alloy structures and proposed eight candidates expected to have catalytic performance comparable to that of Pd. Our experiments demonstrate that four bimetallic catalysts indeed exhibit catalytic properties comparable to those of Pd. Moreover, we discover a bimetallic (Ni-Pt) catalyst that has not yet been reported for H2O2 direct synthesis. In particular, Ni61Pt39 outperforms the prototypical Pd catalyst for the chemical reaction and exhibits a 9.5-fold enhancement in cost-normalized productivity. This protocol provides an opportunity for the catalyst discovery for the replacement or reduction in the use of the platinum-group metals.-
dc.languageEnglish-
dc.publisherNature Publishing Group | Shanghai Institute of Ceramics of the Chinese Academy of Sciences (SICCAS)-
dc.titleHigh-throughput computational-experimental screening protocol for the discovery of bimetallic catalysts-
dc.typeArticle-
dc.identifier.doi10.1038/s41524-021-00605-6-
dc.description.journalClass1-
dc.identifier.bibliographicCitationnpj Computational Materials, v.7, no.1-
dc.citation.titlenpj Computational Materials-
dc.citation.volume7-
dc.citation.number1-
dc.description.isOpenAccessY-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.identifier.wosid000687152900001-
dc.identifier.scopusid2-s2.0-85113207733-
dc.relation.journalWebOfScienceCategoryChemistry, Physical-
dc.relation.journalWebOfScienceCategoryMaterials Science, Multidisciplinary-
dc.relation.journalResearchAreaChemistry-
dc.relation.journalResearchAreaMaterials Science-
dc.type.docTypeArticle-
dc.subject.keywordPlusDENSITY-FUNCTIONAL THEORY-
dc.subject.keywordPlusHYDROGEN-PEROXIDE-
dc.subject.keywordPlusOXYGEN REDUCTION-
dc.subject.keywordPlusPD CATALYSTS-
dc.subject.keywordPlusH2O2-
dc.subject.keywordPlusAU-
dc.subject.keywordPlusELECTROCATALYSTS-
dc.subject.keywordPlusELECTROREDUCTION-
dc.subject.keywordPlusNANOPARTICLES-
dc.subject.keywordPlusELEMENTS-
dc.subject.keywordAuthorDensity functional theory-
dc.subject.keywordAuthorHigh-throughput screening-
dc.subject.keywordAuthorBimetallic catalyst-
dc.subject.keywordAuthorH2O2 direct synthesis-
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