DOI: 10.1103/physrevb.95.214102. Formation enthalpies for transition metal alloys using machine learning

Formation enthalpies for transition metal alloys using machine learning

10.1103/physrevb.95.214102

Crossref journal-article

American Physical Society (APS)

Physical Review B (16)

Bibliography

Ubaru, S., MiÄdlar, A., Saad, Y., & Chelikowsky, J. R. (2017). Formation enthalpies for transition metal alloys using machine learning. Physical Review B, 95(21).

Authors 4

Shashanka Ubaru (first)
Agnieszka Międlar (additional)
Yousef Saad (additional)
James R. Chelikowsky (additional)

References 53 Referenced 28

10.1103/PhysRevB.93.085142
{'volume-title': 'The Solubility of Nonelectrolytes', 'year': '1950', 'author': 'R. Scott', 'key': 'PhysRevB.95.214102Cc2R1'} / The Solubility of Nonelectrolytes by R. Scott (1950)
10.1088/0305-4608/3/8/012
{'key': 'PhysRevB.95.214102Cc4R1', 'first-page': '60', 'volume': '8', 'author': 'Y. Ouyang', 'year': '1998', 'journal-title': 'Trans. Nonferrous Met. Soc. China'} / Trans. Nonferrous Met. Soc. China by Y. Ouyang (1998)
10.1016/0364-5916(77)90011-6
10.1016/0378-4363(80)90054-6
{'volume-title': 'Cohesion in Metals: Transition Metal Alloys (Cohesion and Strucure)', 'year': '1988', 'author': 'F. De Boer', 'key': 'PhysRevB.95.214102Cc7R1'} / Cohesion in Metals: Transition Metal Alloys (Cohesion and Strucure) by F. De Boer (1988)
10.1103/PhysRev.136.B864
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10.1111/j.2517-6161.1996.tb02080.x / J. R. Stat. Soc., Ser. B by R. Tibshirani (1996)
10.1103/PhysRevLett.114.105503
10.1021/acs.chemmater.5b04109
10.1103/PhysRevB.82.075122
10.1149/2.0961409jes
10.1039/B802882F
10.1039/c3ee43874k
10.1021/acs.jpclett.5b00710
{'volume-title': 'Electronic Structure: Basic Theory and Pr actical Methods', 'year': '2008', 'author': 'R. Martin', 'key': 'PhysRevB.95.214102Cc33R1'} / Electronic Structure: Basic Theory and Pr actical Methods by R. Martin (2008)
{'volume-title': 'Materials Thermochemistry', 'year': '1993', 'author': 'O. Kubaschewski', 'key': 'PhysRevB.95.214102Cc34R1'} / Materials Thermochemistry by O. Kubaschewski (1993)
10.1016/j.intermet.2003.08.003
{'volume-title': 'Proceedings of the 22nd Annual Conference on Fossil Energy Materials, Pittsburgh, PA, USA', 'year': '2008', 'author': 'P. K. Ray', 'key': 'PhysRevB.95.214102Cc36R1'} / Proceedings of the 22nd Annual Conference on Fossil Energy Materials, Pittsburgh, PA, USA by P. K. Ray (2008)
10.1007/BF01343287
10.1103/PhysRevB.85.104104
{'volume-title': 'Recent Advances in Learning and Control', 'year': '2008', 'author': 'M. Grant', 'key': 'PhysRevB.95.214102Cc40R1'} / Recent Advances in Learning and Control by M. Grant (2008)
10.1111/j.1467-9868.2005.00532.x
10.1098/rspl.1895.0041
{'volume-title': 'The Nature of Statistical Learning Theory', 'year': '2013', 'author': 'V. Vapnik', 'key': 'PhysRevB.95.214102Cc44R1'} / The Nature of Statistical Learning Theory by V. Vapnik (2013)
{'key': 'PhysRevB.95.214102Cc45R1', 'first-page': '103', 'volume': '25', 'author': 'V. Vapnik', 'year': '1964', 'journal-title': 'Autom. Remote Control'} / Autom. Remote Control by V. Vapnik (1964)
{'volume-title': 'Advances in Neural Information Processing Systems', 'year': '1997', 'author': 'H. Drucker', 'key': 'PhysRevB.95.214102Cc46R1'} / Advances in Neural Information Processing Systems by H. Drucker (1997)
10.1023/B:STCO.0000035301.49549.88
{'volume-title': 'Advances in Kernel Methods: Support Vector Learning', 'year': '1999', 'author': 'B. Schölkopf', 'key': 'PhysRevB.95.214102Cc48R1'} / Advances in Kernel Methods: Support Vector Learning by B. Schölkopf (1999)
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10.1162/089976698300017467

Dates

Type	When
Created	8 years, 2 months ago (June 1, 2017, 10:08 p.m.)
Deposited	2 months ago (June 18, 2025, 6:36 p.m.)
Indexed	3 weeks, 2 days ago (July 28, 2025, 5:35 p.m.)
Issued	8 years, 2 months ago (June 1, 2017)
Published	8 years, 2 months ago (June 1, 2017)
Published Online	8 years, 2 months ago (June 1, 2017)

Funders 1

U.S. Department of Energy 10.13039/100000015
Region: Americas
gov (National government)
Labels8
1. Energy Department
2. Department of Energy
3. United States Department of Energy
4. ENERGY.GOV
5. US Department of Energy
6. USDOE
7. DOE
8. USADOE
Awards1
1. DE-SC0008877

BibTeX

@article{Ubaru_2017, title={Formation enthalpies for transition metal alloys using machine learning}, volume={95}, ISSN={2469-9969}, url={http://dx.doi.org/10.1103/physrevb.95.214102}, DOI={10.1103/physrevb.95.214102}, number={21}, journal={Physical Review B}, publisher={American Physical Society (APS)}, author={Ubaru, Shashanka and Międlar, Agnieszka and Saad, Yousef and Chelikowsky, James R.}, year={2017}, month=jun }

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