activity
20112026
most citedWannier90 as a community code: new features and applications

1.9k citations · 4.9k across the 53 of their papers we have counts for

collaborators

53 papers

cond-mat.str-el2026

Real-space determination of orbital states driving successive phase transitions in FeV2O4

Chihaya Koyama, Yusuke Nomura, Shunsuke Kitou +8

Direct experimental access to orbital states in strongly correlated materials remains a major challenge, despite their central role in driving coupled structural and magnetic phase…

cond-mat.supr-con2023★ 3 cited

Instability of Pa CsC at ambient pressure and superconducting state of the FCC phase

Changming Yue, Yusuke Nomura, Kosmas Prassides +1

The alkali-doped fulleride CsC, crystallized in the space group Fmm or Pmn, exhibits unconventional -wave superconductivity under pressure…

cond-mat.str-el2023★ 5 cited

Boltzmann machines and quantum many-body problems

Yusuke Nomura

Analyzing quantum many-body problems and elucidating the entangled structure of quantum states is a significant challenge common to a wide range of fields. Recently, a novel approa…

quant-ph2023★ 67 cited

Variational Benchmarks for Quantum Many-Body Problems

Dian Wu, Riccardo Rossi, Filippo Vicentini +30

The continued development of computational approaches to many-body ground-state problems in physics and chemistry calls for a consistent way to assess its overall progress. In this…

cond-mat.str-el2022★ 10 cited

A microscopic Kondo lattice model for the heavy fermion antiferromagnet CeIn

W. Simeth, Z. Wang, E. A. Ghioldi +13

Electrons at the border of localization generate exotic states of matter across all classes of strongly correlated electron materials and many other quantum materials with emergent…

cond-mat.supr-con2022★ 4 cited

Materials Design of Superconductivity in Nickelates

Motoharu Kitatani, Yusuke Nomura, Motoaki Hirayama +1

Motivated by the recent theoretical materials design of superconducting nickelates for which the charge transfer from the NiO to the block layer is completely suppressed…

cond-mat.str-el2022

downfolding based on the GW approximation for infinite-layer nickelates

Motoaki Hirayama, Yusuke Nomura, Ryotaro Arita

We derive an effective three-orbital model for the infinite-layer nickelates based on the band structure obtained by the GW approximation (GWA), where we consider the Ni 3$d_{x^2-y…

quant-ph2022★ 6 cited

Investigating Network Parameters in Neural-Network Quantum States

Yusuke Nomura

Recently, quantum-state representation using artificial neural networks has started to be recognized as a powerful tool. However, due to the black-box nature of machine learning, i…

cond-mat.str-el2021★ 14 cited

Fermi surface expansion above critical temperature in a Hund ferromagnet

Yusuke Nomura, Shiro Sakai, Ryotaro Arita

Using a cluster extension of the dynamical mean-field theory, we show that strongly correlated metals subject to Hund's physics exhibit significant electronic structure modulations…

cond-mat.str-el2021★ 4 cited

Doping asymmetry and layer-selective metal-insulator transition in trilayer KC

Changming Yue, Yusuke Nomura, Philipp Werner

Thin films provide a versatile platform to tune electron correlations and explore new physics in strongly correlated materials. Epitaxially grown thin films of the alkali-doped ful…

cond-mat.supr-con2021★ 138 cited

Superconductivity in infinite-layer nickelates

Yusuke Nomura, Ryotaro Arita

The recent discovery of the superconductivity in the doped infinite layer nickelates NiO (=La, Pr, Nd) is of great interest since the nickelates are isostructural to dope…

cond-mat.str-el2021★ 18 cited

Ab initio Derivation of Low-Energy Hamiltonians for Systems with Strong Spin-Orbit Interaction and Its Application to Ca5Ir3O12

Maxime Charlebois, Jean-Baptiste Morée, Kazuma Nakamura +7

We present an ab initio derivation method for effective low-energy Hamiltonians of material with strong spin-orbit interactions. The effective Hamiltonian is described in terms of…

cond-mat.str-el2021★ 8 cited

Fully filling-controlled pyrochlore ruthenates: emergent ferromagnetic-metal state and geometrical Hall effect

Ryoma Kaneko, Kentaro Ueda, Shiro Sakai +4

Carrier doping to the Mott insulator is essential to produce highly correlated metals with emergent properties. Pyrochlore ruthenates, PrRuO (Ru- electron num…

cond-mat.str-el2021★ 38 cited

Purifying Deep Boltzmann Machines for Thermal Quantum States

Yusuke Nomura, Nobuyuki Yoshioka, Franco Nori

We develop two cutting-edge approaches to construct deep neural networks representing the purified finite-temperature states of quantum many-body systems. Both methods commonly aim…

cond-mat.str-el2020★ 17 cited

Geometrical Hall effect and momentum-space Berry curvature from spin-reversed band pairs

Max Hirschberger, Yusuke Nomura, Hiroyuki Mitamura +10

When nanometric, noncoplanar spin textures with scalar spin chirality (SSC) are coupled to itinerant electrons, they endow the quasiparticle wavefunctions with a gauge field, terme…

cond-mat.str-el2020★ 2 cited

Orbital isotropy of magnetic fluctuations in correlated electron materials induced by Hund's exchange coupling

Evgeny A. Stepanov, Yusuke Nomura, Alexander I. Lichtenstein +1

Characterizing non-local magnetic fluctuations in materials with strong electronic Coulomb interactions remains one of the major outstanding challenges of modern condensed matter t…

cond-mat.str-el2020★ 66 cited

Helping restricted Boltzmann machines with quantum-state representation by restoring symmetry

Yusuke Nomura

The variational wave functions based on neural networks have recently started to be recognized as a powerful ansatz to represent quantum many-body states accurately. In order to sh…

cond-mat.str-el2020★ 39 cited

Magnetic exchange coupling in cuprate-analog nickelates

Yusuke Nomura, Takuya Nomoto, Motoaki Hirayama +1

Motivated by the recent discovery of superconductivity in doped NdNiO, we study the magnetic exchange interaction in layered nickelates from first principles. The mot…

cond-mat.mtrl-sci2020★ 36 cited

qeirreps: an open-source program for Quantum ESPRESSO to compute irreducible representations of Bloch wavefunctions

Akishi Matsugatani, Seishiro Ono, Yusuke Nomura +1

Bloch wavefunctions in solids form a representation of crystalline symmetries. Recent studies revealed that symmetry representations in band structure can be used to diagnose the t…

cond-mat.str-el2020★ 134 cited

Dirac-type nodal spin liquid revealed by refined quantum many-body solver using neural-network wave function, correlation ratio, and level spectroscopy

Yusuke Nomura, Masatoshi Imada

Pursuing fractionalized particles that do not bear properties of conventional measurable objects, exemplified by bare particles in the vacuum such as electrons and elementary excit…

cond-mat.supr-con2020★ 30 cited

Efficient ab initio Migdal-Eliashberg calculation considering the retardation effect in phonon-mediated superconductors

Tianchun Wang, Takuya Nomoto, Yusuke Nomura +4

We formulate an efficient scheme to perform Migdal-Eliashberg calculation considering the retardation effect from first principles. While the conventional approach requires a huge…

cond-mat.supr-con2020★ 46 cited

Higgs-mode resonance in third harmonic generation in NbN superconductors: multiband electron-phonon coupling, impurity scattering, and polarization-angle dependence

Naoto Tsuji, Yusuke Nomura

We theoretically investigate the resonance of third harmonic generation (THG) that has been observed at frequency being half of the superconducting gap in a multiband disordered su…

cond-mat.str-el2020★ 113 cited

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

Kazuma Nakamura, Yoshihide Yoshimoto, Yusuke Nomura +6

RESPACK is a first-principles calculation software for evaluating the interaction parameters of materials and is able to calculate maximally localized Wannier functions, response f…

cond-mat.str-el2020★ 26 cited

Machine Learning Quantum States -- Extensions to Fermion-Boson Coupled Systems and Excited-State Calculations

Yusuke Nomura

To analyze quantum many-body Hamiltonians, recently, machine learning techniques have been shown to be quite useful and powerful. However, the applicability of such machine learnin…