Scott Kirklin, Ph.D.
Affiliations: | 2009-2014 | Materials Science and Engineering | Northwestern University, Evanston, IL |
2014- | Jump Trading |
Area:
computational materials science, energy storageWebsite:
https://www.linkedin.com/in/scottjkirklinGoogle:
"Scott Kirklin"Mean distance: 14.24
Parents
Sign in to add mentorChris Wolverton | grad student | 2014 | Northwestern | |
(Development of a Framework for High-Throughput Calculations and its Application to Energy Storage Challenges.) |
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Publications
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Hegde VI, Aykol M, Kirklin S, et al. (2020) The phase stability network of all inorganic materials. Science Advances. 6: eaay5606 |
Doak JW, Hao S, Kirklin S, et al. (2019) Computational prediction of nanostructured alloys with enhanced thermoelectric properties Physical Review Materials. 3 |
Aykol M, Kim S, Hegde VI, et al. (2019) Computational evaluation of new lithium-3 garnets for lithium-ion battery applications as anodes, cathodes, and solid-state electrolytes Physical Review Materials. 3 |
Kim S, Aykol M, Hegde VI, et al. (2017) Material design of high-capacity Li-rich layered-oxide electrodes: Li2MnO3 and beyond Energy & Environmental Science. 10: 2201-2211 |
Aykol M, Kim S, Hegde VI, et al. (2016) High-throughput computational design of cathode coatings for Li-ion batteries. Nature Communications. 7: 13779 |
Snydacker DH, Aykol M, Kirklin S, et al. (2016) Lithium-Ion Cathode/Coating Pairs for Transition Metal Containment Journal of the Electrochemical Society. 163: A2054-A2064 |
Kercher AK, Kolopus JA, Carroll KJ, et al. (2016) Mixed polyanion glass cathodes: Glass-state conversion reactions Journal of the Electrochemical Society. 163: A131-A137 |
Emery AA, Saal JE, Kirklin S, et al. (2016) High-Throughput Computational Screening of Perovskites for Thermochemical Water Splitting Applications Chemistry of Materials. 28: 5621-5634 |
Kirklin S, Saal JE, Hegde VI, et al. (2016) High-throughput computational search for strengthening precipitates in alloys Acta Materialia. 102: 125-135 |
Emery AA, Saal JE, Kirklin S, et al. (2016) ChemInform Abstract: High-Throughput Computational Screening of Perovskites for Thermochemical Water Splitting Applications. Cheminform. 47 |