Author

Naito (内藤智也), Tomoya

INSPIRE profile1813549 ORCID0000-0002-0010-3558

3 papers·413 citations in this corpus

	Paper	Category
Jun 10, 2025#12506.06629	Charge symmetry breaking effects of $ω$ - $ρ^{0}$ mixing in relativistic mean-field model Yusuke Tanimura🇰🇷 · Tomoya Naito🇯🇵 · Hiroyuki Sagawa🇯🇵 · Myung-Ki Cheoun🇰🇷	nucl-th	EPJA	2
Mar 10, 2025#12503.05147	Mirror-skin thickness: a possible observable sensitive to the charge symmetry breaking energy density functional Tomoya Naito · Yuto Hijikata · Juzo Zenihiro · Gianluca Colò · Hiroyuki Sagawa	nucl-th	EPJA	3
Dec 5, 2024#82412.03090	A deep neural network approach to solve the Dirac equation Chuanxin Wang · Tomoya Naito · Jian Li · Haozhao Liang	↳ quant-ph	EPJA	7

Charge symmetry breaking effects of $ω$ - $ρ^{0}$ mixing in relativistic mean-field model
Yusuke Tanimura🇰🇷 · Tomoya Naito🇯🇵 · Hiroyuki Sagawa🇯🇵 · Myung-Ki Cheoun🇰🇷
Jun 10, 2025#1nucl-thEPJA2 citations
Mirror-skin thickness: a possible observable sensitive to the charge symmetry breaking energy density functional
Tomoya Naito · Yuto Hijikata · Juzo Zenihiro · Gianluca Colò · Hiroyuki Sagawa
Mar 10, 2025#1nucl-thEPJA3 citations
A deep neural network approach to solve the Dirac equation
Chuanxin Wang · Tomoya Naito · Jian Li · Haozhao Liang
Dec 5, 2024#8↳ quant-phEPJA7 citations

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Naito (内藤智也), Tomoya

Charge symmetry breaking effects of ω-ρ0 mixing in relativistic mean-field model

Mirror-skin thickness: a possible observable sensitive to the charge symmetry breaking energy density functional

A deep neural network approach to solve the Dirac equation

Charge symmetry breaking effects of $ω$ - $ρ^{0}$ mixing in relativistic mean-field model