DOI: 10.1039/c6ra04345c. Machine-learning prediction of the d-band center for metals and bimetals

Machine-learning prediction of the d-band center for metals and bimetals

10.1039/c6ra04345c

Crossref journal-article

Royal Society of Chemistry (RSC)

RSC Advances (292)

Abstract

The d-band centers for eleven metals and their pairwise bimetals for two different structures (1% metal doped- or overlayer-covered metal surfaces) are statistically predicted using machine learning methods from readily available values as descriptors for the target metals.

Bibliography

Takigawa, I., Shimizu, K., Tsuda, K., & Takakusagi, S. (2016). Machine-learning prediction of the d-band center for metals and bimetals. RSC Advances, 6(58), 52587â52595.

Authors 4

Ichigaku Takigawa (first)
Ken-ichi Shimizu (additional)
Koji Tsuda (additional)
Satoru Takakusagi (additional)

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Dates

Type	When
Created	9 years, 3 months ago (May 25, 2016, 4:05 a.m.)
Deposited	1 year, 2 months ago (June 16, 2024, 11:28 p.m.)
Indexed	3 weeks, 4 days ago (July 30, 2025, 8:33 p.m.)
Issued	9 years, 7 months ago (Jan. 1, 2016)
Published	9 years, 7 months ago (Jan. 1, 2016)
Published Online	9 years, 7 months ago (Jan. 1, 2016)

Funders 1

Core Research for Evolutional Science and Technology, Japan Science and Technology Agency

BibTeX

@article{Takigawa_2016, title={Machine-learning prediction of the d-band center for metals and bimetals}, volume={6}, ISSN={2046-2069}, url={http://dx.doi.org/10.1039/c6ra04345c}, DOI={10.1039/c6ra04345c}, number={58}, journal={RSC Advances}, publisher={Royal Society of Chemistry (RSC)}, author={Takigawa, Ichigaku and Shimizu, Ken-ichi and Tsuda, Koji and Takakusagi, Satoru}, year={2016}, pages={52587–52595} }

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