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Shengyao Zhang

4 papers hereh-index 10261 citations26 works total

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

author position
  • middle author3
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • nucl-th3
  • stat.ML1
same name
  • Shengyao Zhang — 1 paper, h 7
  • Shengyao Zhang — 1 paper, h 0

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
20202025
most citedOptimized Dirac Woods-Saxon basis for covariant density functional theory

36 citations · 57 across the 3 of their papers we have counts for

collaborators

4 papers

nucl-th2025★ 21 cited

Double-magicity of proton drip-line nucleus 22Si with \textit{ab initio} calculation

J. G. Li, H. H. Li, S. Zhang +2

New magic numbers have been discovered in the neutron-rich region of the nuclear chart. However, there has been a lack of research on proton-rich nuclei. 22O, the mirror nucle…

nucl-th2022

Possible neutron halo in triaxial nucleus 42Al

K. Y. Zhang, S. Q. Zhang, J. Meng

A microscopic self-consistent triaxial relativistic Hartree-Bogoliubov theory in continuum (TRHBc), which simultaneously takes into account the triaxiality and pairing correlations…

nucl-th2022★ 36 cited

Optimized Dirac Woods-Saxon basis for covariant density functional theory

K. Y. Zhang, C. Pan, S. Q. Zhang

The Woods-Saxon basis has achieved great success in both nonrelativistic and covariant density functional theories in recent years. Due to its nonanalytical nature, however, applic…

stat.ML2020

Statistical Inference of the Value Function for Reinforcement Learning in Infinite Horizon Settings

C. Shi, S. Zhang, W. Lu +1

Reinforcement learning is a general technique that allows an agent to learn an optimal policy and interact with an environment in sequential decision making problems. The goodness…

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