Takahiro Misawa

RESPACK: An ab initio tool for derivation of effective low-energy model of material

Kazuma Nakamura, Yoshihide Yoshimoto, Yusuke Nomura et al. · Computer Physics Communications · 2020 · 108 citations · Full text

Natural Sciences, Materials Science, Physics +16

mVMC—Open-source software for many-variable variational Monte Carlo method

Takahiro Misawa, Satoshi Morita, Kazuyoshi Yoshimi et al. · Computer Physics Communications · 2018 · 106 citations · Full text

Natural Sciences, Physics, Computational Physics +14

Origin of high-<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:msub><mml:mi>T</mml:mi><mml:mi>c</mml:mi></mml:msub></mml:math>superconductivity in doped Hubbard models and their extensions: Roles of uniform charge fluctuations

Takahiro Misawa, Masatoshi Imada · Physical Review B · 2014 · 101 citations · Full text

Natural Sciences, Physics, Condensed Matter Physics +15

<i>Ab initio</i> effective Hamiltonians for cuprate superconductors

Motoaki Hirayama, Youhei Yamaji, Takahiro Misawa et al. · Physical review. B./Physical review. B · 2018 · 98 citations · Full text

Natural Sciences, Materials Science, Physics +14

Quantum lattice model solver <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="mml23" display="inline" overflow="scroll" altimg="si23.gif"><mml:mi mathvariant="script">H</mml:mi><mml:mi mathvariant="normal">Φ</mml:mi></mml:math>

Mitsuaki Kawamura, Kazuyoshi Yoshimi, Takahiro Misawa et al. · Computer Physics Communications · 2017 · 96 citations · Full text

Natural Sciences, Computer Science, Physics +11