396 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Kyoto UniversityJP38 papers
- The University of TokyoJP29 papers
- Nagoya UniversityJP26 papers
- Kyushu UniversityJP24 papers
- The University of OsakaJP24 papers
- Tokai UniversityJP24 papers
- Boston UniversityUS23 papers
- California State University, Dominguez HillsUS23 papers
- Chonnam National UniversityKR23 papers
- Duke UniversityUS23 papers
- Gifu UniversityJP23 papers
- Institute for Cosmic Ray ResearchJP23 papers
172 papers
Insight into high-entropy effect in body-centered cubic superconducting alloys
Hanabusa Senga, Yuto Watanabe, Fubuki Iwase +6
We have characterized the superconducting critical temperature (), the Debye temperature (), the electronic specific heat coefficient, and the Vickers m…
Enhanced in eutectic high-entropy alloy superconductors Hf-Nb-Sc-Ti-Zr
Issei Kubo, Yuto Watanabe, Shuma Kawashima +4
The present investigation into the superconducting properties of eutectic high-entropy alloy (HEA) Hf-Nb-Sc-Ti-Zr systems reveals an enhanced superconducting critical temperature (…
Statistical properties of homoclinic bursting: an approach using infinite-modal maps toward predicting extreme events
Masaki Nakagawa
Predicting extreme events in nonlinear dynamical systems is challenging due to a limited understanding of their statistical properties. This study numerically and theoretically inv…
Generalization of the Affleck-Kennedy-Lieb-Tasaki Model for Quantum Ferromagnetism
Isao Maruyama, Shin Miyahara
We study a spin- ferromagnetic model with exactly-written ground states, known as the partially-magnetized valence bond solid (VBS) states with magnetization , which…
Emergence of Functionally Differentiated Structures via Mutual Information Minimization in Recurrent Neural Networks
Yuki Tomoda, Ichiro Tsuda, Yutaka Yamaguti
Functional differentiation in the brain emerges as distinct regions specialize and is key to understanding brain function as a complex system. Previous research has modeled this pr…
ADF22+: a declining faint end in the far-infrared luminosity function in the SSA22 protocluster at z=3.09
Shuo Huang, Hideki Umehata, Ian Smail +6
Protoclusters represent the densest regions of cosmic large-scale structure in the early universe and are the environment where present-day massive elliptical galaxies are assemble…
Path optimization method for the sign problem caused by fermion determinant
Kazuki Hisayoshi, Kouji Kashiwa, Yusuke Namekawa +1
The path optimization method with machine learning is applied to the one-dimensional massive lattice Thirring model, which has the sign problem caused by the fermion determinant. T…
The Structure of Massive Star-Forming Galaxies from JWST and ALMA: Dusty, High Redshift Disk Galaxies
Steven Gillman, Ian Smail, Bitten Gullberg +15
We present an analysis of the JWST NIRCam and MIRI morphological properties of 80 massive (=11.20.1) dusty star-forming galaxies at 2.7$^{+…
Cyclic image generation using chaotic dynamics
Takaya Tanaka, Yutaka Yamaguti
Successive image generation using cyclic transformations is demonstrated by extending the CycleGAN model to transform images among three different categories. Repeated application…
Ferromagnetic Haldane state and dimer multiplet state of quantum ferromagnets
Shin Miyahara, Isao Maruyama
We present a theory of the realization of a ferromagnetic Haldane state in a spin-2 bilinear-biquadratic spin system on an orthogonal-dimer chain. The coexistence of a ferromagneti…
Application of the path optimization method to a discrete spin system
Kouji Kashiwa, Yusuke Namekawa, Akira Ohnishi +1
The path optimization method, which is proposed to control the sign problem in quantum field theories with continuous degrees of freedom by machine learning, is applied to a spin m…
Theory of Fractionally-magnetized Quantum Ferromagnet
Isao Maruyama, Shin Miyahara
We present a theory to realize entangled quantum spin states with fractional magnetization. The origin of magnetization reduction is partly emergent antiferromagnetism, that is, sp…
Evaluating generation of chaotic time series by convolutional generative adversarial networks
Yuki Tanaka, Yutaka Yamaguti
To understand the ability and limitations of convolutional neural networks to generate time series that mimic complex temporal signals, we trained a generative adversarial network…
Factors determining surface oxygen vacancy formation energy in ternary spinel structure oxides with zinc
Yoyo Hinuma, Shinya Mine, Takashi Toyao +2
Spinel oxides are an important class of materials for heterogeneous catalysis including photocatalysis and electrocatalysis. The surface O vacancy formation energy (EOvac) is a cri…
Instability of holographic cold compact stars with a color superconducting core
Kazuo Ghoroku, Kouji Kashiwa, Yoshimasa Nakano +2
We study a holographic model of quantum chromodynamics, which can describe a color superconductor and a dilute nucleon gas phase. The two phases are adjoined in the phase diagram a…
Spontaneous superconducting diode effect in non-magnetic Nb/Ru/SrRuO topological junctions
M. S. Anwar, T. Nakamura, R. Ishiguro +5
Non-reciprocal electronic transport in a material occurs if both time reversal and inversion symmetries are broken. The superconducting diode effect (SDE) is an exotic manifestatio…
Improving efficiency of the path optimization method for a gauge theory
Yusuke Namekawa, Kouji Kashiwa, Hidefumi Matsuda +2
We investigate efficiency of a gauge-covariant neural network and an approximation of the Jacobian in optimizing the complexified integration path toward evading the sign problem i…
Magnetic properties, electrical resistivity, and hardness of high-entropy alloys FeCoNiPd and FeCoNiPt
Jiro Kitagawa
We report the magnetic properties, electrical resistivity, and Vickers microhardness of as-cast and annealed high-entropy alloys (HEAs) FeCoNiPd and FeCoNiPt with the face-centered…
Fully-gapped superconducting state in interstitial-carbon-doped Zr5Pt3
T. Shang, J. Philippe, X. Y. Zhu +6
We report a comprehensive study of the ZrPtC superconductors, with interstitial carbon comprised between 0 and 0.3. At a macroscopic level, their superconductivity, wit…
Large-time asymptotic behaviors for the classical thermoelastic system
Wenhui Chen, Hiroshi Takeda
In this paper, we study the classical thermoelastic system with Fourier's law of heat conduction in the whole space when , particularly, asymptotic profiles…
Large-time asymptotic behaviors for linear Blackstock's model of thermoviscous flow
Wenhui Chen, Hiroshi Takeda
In the classical theory of acoustic waves, Blackstock's model was proposed in 1963 to characterize the propagation of sound in thermoviscous fluids. In this paper, we investigate l…
Asymptotic behaviors for the Jordan-Moore-Gibson-Thompson equation in the viscous case
Wenhui Chen, Hiroshi Takeda
In this paper, we study large-time behaviors for a fundamental model in nonlinear acoustics, precisely, the viscous Jordan-Moore-Gibson-Thompson (JMGT) equation in the whole space…
Pre-Supernova Alert System for Super-Kamiokande
Kamiokande Collaboration, L. N. Machado, K. Abe +223
In 2020, the Super-Kamiokande (SK) experiment moved to a new stage (SK-Gd) in which gadolinium (Gd) sulfate octahydrate was added to the water in the detector, enhancing the effici…
Multiplicity, probabilities, and canonical sectors for the cold QCD matter
Kouji Kashiwa, Hiroaki Kouno
At sufficiently low temperature, without requiring any numerical data at finite real chemical potential, we can clarify the canonical partition function with fixed quark number via…