DOI: 10.1103/physrevb.95.144110. Representation of compounds for machine-learning prediction of physical properties

Representation of compounds for machine-learning prediction of physical properties

10.1103/physrevb.95.144110

Crossref journal-article

American Physical Society (APS)

Physical Review B (16)

Bibliography

Seko, A., Hayashi, H., Nakayama, K., Takahashi, A., & Tanaka, I. (2017). Representation of compounds for machine-learning prediction of physical properties. Physical Review B, 95(14).

Authors 5

Atsuto Seko (first)
Hiroyuki Hayashi (additional)
Keita Nakayama (additional)
Akira Takahashi (additional)
Isao Tanaka (additional)

References 62 Referenced 256

10.1103/PhysRevLett.91.135503
10.1038/nmat1691
10.1021/cm100795d
10.1021/ic102031h
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10.1146/annurev.matsci.38.060407.130217
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{'volume-title': 'Crystallographic Databases', 'year': '1987', 'author': 'G. Bergerhoff', 'key': 'PhysRevB.95.144110Cc48R1'} / Crystallographic Databases by G. Bergerhoff (1987)
10.1103/PhysRevB.50.17953
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10.1103/PhysRevB.54.11169
10.1103/PhysRevB.91.094306
10.1016/j.scriptamat.2015.07.021
{'volume-title': 'CRC Handbook of Chemistry and Physics', 'year': '2012', 'author': 'W. M. Haynes', 'key': 'PhysRevB.95.144110Cc56R1'} / CRC Handbook of Chemistry and Physics by W. M. Haynes (2012)
{'volume-title': 'Machine Learning: A Probabilistic Perspective', 'year': '2012', 'author': 'K. P. Murphy', 'key': 'PhysRevB.95.144110Cc57R1'} / Machine Learning: A Probabilistic Perspective by K. P. Murphy (2012)
{'volume-title': 'Gaussian Processes for Machine Learning', 'year': '2006', 'author': 'C. E. Rasmussen', 'key': 'PhysRevB.95.144110Cc58R1'} / Gaussian Processes for Machine Learning by C. E. Rasmussen (2006)
10.1023/A:1012771025575
{'volume-title': 'Structure and Bonding in Crystals', 'year': '1981', 'author': 'A. Zunger', 'key': 'PhysRevB.95.144110Cc60R1'} / Structure and Bonding in Crystals by A. Zunger (1981)
10.1098/rspa.1924.0082
10.1103/PhysRevB.29.6443
{'volume-title': 'Solid State Physics', 'year': '1990', 'author': 'A. E. Carlsson', 'key': 'PhysRevB.95.144110Cc63R1'} / Solid State Physics by A. E. Carlsson (1990)

Dates

Type	When
Created	8 years, 4 months ago (April 19, 2017, 6:09 p.m.)
Deposited	5 years, 11 months ago (Sept. 22, 2019, 5:45 p.m.)
Indexed	3 weeks, 6 days ago (July 27, 2025, 3:30 a.m.)
Issued	8 years, 4 months ago (April 19, 2017)
Published	8 years, 4 months ago (April 19, 2017)
Published Online	8 years, 4 months ago (April 19, 2017)

Funders 2

Japan Science and Technology Agency 10.13039/501100002241
Region: Asia
gov (National government)
Labels7
1. SCIENCE AND TECHNOLOGY AGENCY OF JAPAN
2. 国立研究開発法人科学技術振興機構
3. 国立研究開発法人科学技術振興機構 japan science and technology agency
4. Japan Science and Technology Agency (JST)
5. かがくぎじゅつしんこうきこう
6. 科学技術振興機構
7. JST
Japan Society for the Promotion of Science 10.13039/501100001691
Region: Asia
gov (National government)
Labels6
1. KAKENHI
2. 日本学術振興会
3. Gakushin
4. JSPS KAKEN
5. JSPS Grants-in-Aid for Scientific Research
6. JSPS
Awards1
1. 25106005

BibTeX

@article{Seko_2017, title={Representation of compounds for machine-learning prediction of physical properties}, volume={95}, ISSN={2469-9969}, url={http://dx.doi.org/10.1103/physrevb.95.144110}, DOI={10.1103/physrevb.95.144110}, number={14}, journal={Physical Review B}, publisher={American Physical Society (APS)}, author={Seko, Atsuto and Hayashi, Hiroyuki and Nakayama, Keita and Takahashi, Akira and Tanaka, Isao}, year={2017}, month=apr }

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