Research output per year
Research output per year
Personal profile
In Korean
김수란 교수(사범대학 물리교육과)
Education
o (2008) B.S., Pohang University of Science and Technology
o (2011) M.S., Pohang University of Science and Technology
o (2015) Ph.D., Pohang University of Science and Technology
o (2011) M.S., Pohang University of Science and Technology
o (2015) Ph.D., Pohang University of Science and Technology
Professional Experience
o (2023~Present) Associate Professor, Kyungpook National University, Daegu
o (2018~2023) Assistant Professor, Kyungpook National University, Daegu
o (2016~2018) Post-doctoral Fellow in Materials Science, Harvard University
o (2015~2016) Post-doctoral Fellow, Max Planck POSTECH Center for Complex Phase Materials
o (2018~2023) Assistant Professor, Kyungpook National University, Daegu
o (2016~2018) Post-doctoral Fellow in Materials Science, Harvard University
o (2015~2016) Post-doctoral Fellow, Max Planck POSTECH Center for Complex Phase Materials
Research Interests
Phase transitions in strongly-correlated materials
Novel phenomena in Battery/Energy storage materials
Machine learning and high-throughput calculations
Novel phenomena in Battery/Energy storage materials
Machine learning and high-throughput calculations
Major Research Achievements
"An Ab Initio Study of the Origin of Structural Stability in P2-NaMnO2 with Li Doping at High Voltage" J. Phys. Chem. Lett. 15 1347 (2024)
"Machine learning of kesterite materials using cost-effective hybrid density functional theory" Curr. Appl. Phys. 59 214 (2024)
"First-principles study on Small Polaron and Li diffusion in layered LiCoO2" Phys. Chem. Chem. Phys. 25 27848 (2023)
"Phonon study of Jahn–Teller distortion and phase stability in NaMnO2 for sodium-ion Batteries" J. Appl.Phys. 132, 055101 (2022)
"Machine-Learning-Guided Prediction Models of Critical Temperature of Cuprates" J. Phys. Chem. Lett., 12, 26, 6211 (2021) selected as a front cover
"Quantification of Coulomb interactions in layered lithium and sodium battery cathode materials" Phys. Rev. Mater.5, 035404 (2021)
"A study of Cu doping effects in P2-Na0.75Mn0.6Fe0.2(CuxNi0.2-x)O2 layered cathodes for Na-ion batteries" Batteries & Supercaps, 3, 376 (2020)
"Pressure-induced phase transitions and superconductivity in magnesium carbides" Sci. Rep. 9, 20253 (2019)
"Role of Coulomb Correlations in the Charge Density Wave of CuTe” Phys. Rev. B 100, 054112 (2019)
"Apical Charge Flux-modulated In-plane Transport Properties in Cuprate Superconductors” Phys. Rev. Lett. 121, 157001 (2018)
"Machine learning of kesterite materials using cost-effective hybrid density functional theory" Curr. Appl. Phys. 59 214 (2024)
"First-principles study on Small Polaron and Li diffusion in layered LiCoO2" Phys. Chem. Chem. Phys. 25 27848 (2023)
"Phonon study of Jahn–Teller distortion and phase stability in NaMnO2 for sodium-ion Batteries" J. Appl.Phys. 132, 055101 (2022)
"Machine-Learning-Guided Prediction Models of Critical Temperature of Cuprates" J. Phys. Chem. Lett., 12, 26, 6211 (2021) selected as a front cover
"Quantification of Coulomb interactions in layered lithium and sodium battery cathode materials" Phys. Rev. Mater.5, 035404 (2021)
"A study of Cu doping effects in P2-Na0.75Mn0.6Fe0.2(CuxNi0.2-x)O2 layered cathodes for Na-ion batteries" Batteries & Supercaps, 3, 376 (2020)
"Pressure-induced phase transitions and superconductivity in magnesium carbides" Sci. Rep. 9, 20253 (2019)
"Role of Coulomb Correlations in the Charge Density Wave of CuTe” Phys. Rev. B 100, 054112 (2019)
"Apical Charge Flux-modulated In-plane Transport Properties in Cuprate Superconductors” Phys. Rev. Lett. 121, 157001 (2018)
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Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Collaborations and top research areas from the last five years
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An Ab Initio Study of the Origin of Structural Stability in P2-NaMnO2 with Li Doping at High Voltage
Kim, H., Kim, K. & Kim, S., 8 Feb 2024, In: Journal of Physical Chemistry Letters. 15, 5, p. 1347-1354 8 p.Research output: Contribution to journal › Article › peer-review
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A study of machine-learning-derived formulas using artificially generated dataset
Lee, D. & Kim, S., 2024, (Accepted/In press) In: Journal of the Korean Physical Society.Research output: Contribution to journal › Article › peer-review
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Machine learning of kesterite materials using cost-effective hybrid density functional theory
Lee, D., Kim, S. & Park, J. S., Mar 2024, In: Current Applied Physics. 59, p. 214-219 6 p.Research output: Contribution to journal › Article › peer-review
Open Access3 Scopus citations -
Machine Learning Prediction Models for Solid Electrolytes Based on Lattice Dynamics Properties
Kim, J., Lee, D., Lee, D., Li, X., Lee, Y. L. & Kim, S., 6 Jun 2024, In: Journal of Physical Chemistry Letters. 15, 22, p. 5914-5922 9 p.Research output: Contribution to journal › Article › peer-review
Open Access -
First-principles study on small polaron and Li diffusion in layered LiCoO2
Ahn, S., Kim, J., Kim, B. & Kim, S., 26 Sep 2023, In: Physical Chemistry Chemical Physics. 25, 40, p. 27848-27853 6 p.Research output: Contribution to journal › Article › peer-review