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Jun H. Park

3 papers hereh-index 16 citations6 works total

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

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cond-mat.str-el1
  • cond-mat.supr-con1
  • physics.data-an1

identity via Semantic Scholar / OpenAlex

activity
20212024
most citedElectron-boson spectral density functions of cuprates obtained from optical spectra via machine learning

3 citations · 3 across the 3 of their papers we have counts for

collaborators

3 papers

physics.data-an2024

An inversion problem for optical spectrum data via physics-guided machine learning

Hwiwoo Park, Jun H. Park, Jungseek Hwang

We propose the regularized recurrent inference machine (rRIM), a novel machine-learning approach to solve the challenging problem of deriving the pairing glue function from measure…

cond-mat.supr-con2023

Planckian behavior of cuprates at the pseudogap critical point simulated via flat electron-boson spectral density

Hwiwoo Park, Jun H. Park, Jungseek Hwang

Planckian behavior has been recently observed in La1.76Sr0.24CuO4 at the pseudogap critical point. The Planckian behavior takes place in an intriguing quantum metallic state at a q…

cond-mat.str-el2021★ 3 cited

Electron-boson spectral density functions of cuprates obtained from optical spectra via machine learning

Hwiwoo Park, Jun H. Park, Jungseek Hwang

The electron-boson spectral density (or glue) function can be obtained from measured optical scattering rate by solving a generalized Allen formula, which relates the two quantitie…

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