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19942026
most citedA White Paper on keV Sterile Neutrino Dark Matter

384 citations

Showing 2023Show all

6 papers · 1 filter

cond-mat.mtrl-sci2023★ 4 cited

Pressure-induced volumetric negative thermal expansion in CoZr2 superconductor

Yuto Watanabe, Hiroto Arima, Saori Kawaguchi-Imada +10

We investigate the thermal expansion and superconducting properties of a CuAl2-type (tetragonal) superconductor CoZr2 under high pressures. We perform high-pressure synchrotron X-r…

cond-mat.str-el2023★ 9 cited

Ferroic quadrupolar ordering in CeCoSi revealed using Co-NMR measurements

Masahiro Manago, Ayano Ishigaki, Hideki Tou +3

A nonmagnetic phase transition at K in the tetragonal system CeCoSi with a Kramers doublet ground state is reminiscent of an electric quadrupole ordering, even though…

math.OC2023★ 4 cited

Environmental management and restoration under unified risk and uncertainty using robustified dynamic Orlicz risk

Hidekazu Yoshioka, Motoh Tsujimura, Futoshi Aranishi +1

Environmental management and restoration should be designed such that the risk and uncertainty owing to nonlinear stochastic systems can be successfully addressed. We apply the rob…

cond-mat.supr-con2023★ 3 cited

Observation of multigap and coherence peak in the noncentrosymmetric superconductor CaPtAs: As nuclear quadrupole resonance measurement

Yuya Nagase, Masahiro Manago, Junichi Hayashi +6

We present synthesis and As-nuclear quadrupole resonance (NQR) measurements for the noncentrosymmetric superconductor CaPtAs with a superconducting transition temperature $T…

math.OC2023★ 5 cited

A Jump Ornstein-Uhlenbeck Bridge Based on Energy-optimal Control and Its Self-exciting Extension

Hidekazu Yoshioka, Kazutoshi Yamazaki

We study a version of the Ornstein-Uhlenbeck bridge driven by a spectrally-positive subordinator. Our formulation is based on a Linear-Quadratic control subject to a singular termi…

cs.LG2023★ 4 cited

Out-of-distributional risk bounds for neural operators with applications to the Helmholtz equation

J. Antonio Lara Benitez, Takashi Furuya, Florian Faucher +3

Despite their remarkable success in approximating a wide range of operators defined by PDEs, existing neural operators (NOs) do not necessarily perform well for all physics problem…