CV

Do Hoon Kiem

DOHOON KIM

Professional experience

• Post-doctoral research associate, ORNL, 2025.01-current
• Post-doctoral researcher, KAIST, 2023.03-2024.12

Education

• Ph.D in Physics, KAIST, 2017.02-2023.02
• B.S. in Physics, SKKU, 2013.03-2016.08 (Early graduation with highest honor)

Publications

See Publications

Computational Expertise

First-principles electronic structure calculations (DFT, DFT+DMFT, tight-binding)

• openMX, VASP, WIEN2k
• Wannier90, LOBSTER, DFTforge.jl, Jx, BoltzTrap, Phonopy, etc
• Rutgers eDMFT, DMFTpack

Computational method developments

• Magnetic force linear response theory (MFT) for exchange interactions
  • Jx.jl
  • DFTforge.jl
• Magnon package: SpinMax.jl
• In-house codes:
  • High-Throughput Computation workflow
  • Machine Learning Hamiltonian for exchange interactions
  • Band unfolding within non-orthogonal basis
  • Torque magnetometer calculation
  • optical conductivity in DMFTpack

Awards

• Pre-doctoral fellow,
  • Department of Physics, KAIST (2021)
• Outstanding Presentation Awards ;
  • 2026 ORNL-ORPA 14th Research Symposium
  • 2023 KIAS Electronic Structure Calculation Workshop
  • 2022 Korea Physics Society Fall Meeting
  • 2022 KIAS Electronic Structure Calculation Workshop
  • 2022 Korea Magnetic Society Summer Meeting
  • 2022 Korea Physics Society Spring Meeting
  • 2021 Korea Physics Society Fall Meeting
  • 2019 The 11th Brain Korea (BK) 21+ Young Physicists Workshop
  • 2018 Korea Physics Society Spring Meeting

Personal Grants

• Venture Research Program for Graduate and PhD Students (2019)
• Venture Research Program for Graduate and PhD Students (2021)
  • Machine Learning for materials in magnetic fields

Academic engaugement

• Referee/Reviewer: Journal of Korean Physical Society, Current Applied Physics, Journal of Physical Chemistry, Proceedings A, Physical Review B, Physical Review Letters
• Session chair at APS Global Summit