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Y. Nagai

86 papers hereh-index 191.4k citations137 works total

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

author position
  • sole author4
  • first author44
  • middle author27
  • last author8

Across the 83 of 86 papers where every author was matched, so the position is known.

fields
  • cond-mat.supr-con66
  • cond-mat.mes-hall5
  • cond-mat.str-el5
  • hep-lat5
  • cond-mat.dis-nn2
  • cond-mat.mtrl-sci1
same name
  • Y. Nagai — 291 papers
  • Y. Nagai — 138 papers, h 57
  • Y. Nagai — 21 papers, h 10
  • Y. Nagai — 18 papers, h 7
  • Y. Nagai — 8 papers, h 19
  • Y. Nagai — 7 papers, h 26

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
20062023
most citedThermodynamic evidence for nematic superconductivity in Cux​Bi2​Se3​

273 citations · 1.6k across the 86 of their papers we have counts for

collaborators
Showing 2018Show all

3 papers · 1 filter

cond-mat.supr-con2018★ 4 cited

Quasiparticle Bound States around Fractional Vortices in s-wave Superconductor

Yuki Nagai, Yusuke Kato

Since the experimental formation of a vortex with a fractional quantized magnetic flux in a thin superconducting s-wave bi-layer was recently reported, we calculate the local den…

cond-mat.str-el2018★ 29 cited

Self-learning Monte Carlo method with Behler-Parrinello neural networks

Yuki Nagai, Masahiko Okumura, Akinori Tanaka

We propose a general way to construct an effective Hamiltonian in the Self-learning Monte Carlo method (SLMC), which speeds up Monte Carlo simulations by training an effective mode…

cond-mat.str-el2018★ 15 cited

Smooth self-energy in the exact-diagonalization-based dynamical mean-field theory: Intermediate-representation filtering approach

Yuki Nagai, Hiroshi Shinaoka

We propose a method for estimating smooth real-frequency self-energy in the dynamical mean-field theory with the finite-temperature exact diagonalization (DMFT-ED). One of the bene…

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