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Hunpyo Lee

6 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3
  • last author3

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • cond-mat.str-el4
  • quant-ph2
ORCID 0009-0003-0382-7302
same name
  • Hunpyo Lee — 8 papers, h 12

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20102024
most citedTheoretical prediction of a strongly correlated Dirac metal

245 citations · 259 across the 6 of their papers we have counts for

collaborators

4 papers

cond-mat.str-el2023

Hubbard model on Semiclassical approximation in combination with an optimizer based on GPU technology

Hayun Park, Hunpyo Lee

We developed a semiclassical approximation method in combination with an adaptive moment estimation optimizer (SCA + ADAM) approach based on the PyTorch plus CUDA library on a the…

cond-mat.str-el2014★ 7 cited

Orbital Selective Phase Transition

Yao Yao, Yu-Zhong Zhang, Hunpyo Lee +4

We review theoretical investigations on the origin of the orbital selective phase where localized and itinerant electrons coexist in the d shell at intermediate strength of the on-…

cond-mat.str-el2014★ 245 cited

Theoretical prediction of a strongly correlated Dirac metal

I. I. Mazin, Harald O. Jeschke, Frank Lechermann +4

Recently, the most intensely studied objects in the electronic theory of solids have been strongly correlated systems and graphene. However, the fact that the Dirac bands in graphe…

cond-mat.str-el2010★ 7 cited

Importance of Itinerancy and Quantum Fluctuations for the Magnetism in Iron Pnictides

Yu-Zhong Zhang, Hunpyo Lee, Ingo Opahle +2

By applying density functional theory, we find strong evidence for an itinerant nature of magnetism in two families of iron pnictides. Furthermore, by employing dynamical mean fiel…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.