◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

T. Naito

39 papers hereh-index 10248 citations51 works total

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

author position
  • sole author1
  • first author16
  • middle author15
  • last author7

Across the 39 of 39 papers where every author was matched, so the position is known.

fields
  • nucl-th28
  • cond-mat.str-el3
  • physics.chem-ph2
  • physics.comp-ph2
  • cond-mat.mes-hall1
  • cs.LG1
same name
  • T. Naito — 46 papers, h 22
  • T. Naito — 26 papers, h 20
  • T. Naito — 11 papers, h 5
  • T. Naito — 8 papers, h 24
  • T. Naito — 8 papers, h 2
  • T. Naito — 6 papers, h 25

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
20172025
most citedDirac Fermion kinetics in three-dimensionally curved graphene

35 citations · 381 across the 38 of their papers we have counts for

collaborators
Showing 2024Show all

3 papers · 1 filter

nucl-th2024

QCD sum rule approach to Okamoto-Nolen-Schiffer anomaly

Hiroyuki Sagawa, Tomoya Naito, Xavier Roca-Maza +1

A new framework is introduced to connect between a charge symmetry breaking (CSB) energy density functional (EDF) and the low-energy constants derived from quantum chromodynamics (…

quant-ph2024★ 6 cited

A deep neural network approach to solve the Dirac equation

Chuanxin Wang, Tomoya Naito, Jian Li +1

We extend the method from [Naito, Naito, and Hashimoto, Phys. Rev. Research 5, 033189 (2023)] to solve the Dirac equation not only for the ground state but also for low-lying excit…

nucl-th2024★ 2 cited

A neural network approach for two-body systems with spin and isospin degrees of freedom

Chuanxin Wang, Tomoya Naito, Jian Li +1

We propose an enhanced machine learning method to calculate the ground state of two-body systems. By extending the original method [Naito, Naito, and Hashimoto, Phys. Rev. Research…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.