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S. Yamada

137 papers hereh-index 476k citations296 works total

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

author position
  • sole author2
  • middle author39
  • last author93

Across the 134 of 137 papers where every author was matched, so the position is known.

fields
  • astro-ph.HE68
  • astro-ph49
  • nucl-th6
  • astro-ph.SR5
  • hep-ph3
  • gr-qc2
same name
  • S. Yamada — 78 papers
  • S. Yamada — 73 papers, h 35
  • S. Yamada — 63 papers, h 20
  • S. Yamada — 62 papers, h 18
  • S. Yamada — 49 papers, h 37
  • S. Yamada — 31 papers, h 14

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
19962022
most citedPostbounce evolution of core-collapse supernovae: Long-term effects of equation of state

268 citations · 6.4k across the 137 of their papers we have counts for

collaborators
Showing 2021Show all

3 papers · 1 filter

astro-ph.HE2021

Quantum synchro-curvature masers and their application to neutron stars

Hiroko Tomoda, Tomoya Naoe, Shoichi Yamada

We explore the possibility of synchro-curvature maser in the magnetosphere of neutron stars (NSs). Unlike previous studies, we employ relativistic quantum mechanics, solving the Di…

astro-ph.HE2021★ 9 cited

Principal-Axis Analysis of the Eddington Tensor for the Early Post-Bounce Phase of Rotational Core-Collapse Supernovae

Wakana Iwakami, Akira Harada, Hiroki Nagakura +6

Using full Boltzmann neutrino transport, we performed two-dimensional (2D) core-collapse supernova simulations in axisymmetry for two progenitor models with 11.2M and 15.0M both ro…

astro-ph.HE2021★ 5 cited

Deep Learning of the Eddington Tensor in the Core-collapse Supernova Simulation

Akira Harada, Shota Nishikawa, Shoichi Yamada

We trained deep neural networks (DNNs) as a function of the neutrino energy density, flux, and the fluid velocity to reproduce the Eddington tensor for neutrinos obtained in our fi…

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