4 citations
- Durham UniversityGB1 paper
- FZU ‒ Institute of Physics of the Academy of Sciences of the Czech RepublicCZ1 paper
- Hokkaido UniversityJP1 paper
- Indian Institute of Science BangaloreIN1 paper
- Kōchi UniversityJP1 paper
- RIKEN Center for Interdisciplinary Theoretical and Mathematical SciencesJP1 paper
- Tohoku UniversityJP1 paper
- Toho UniversityJP1 paper
- Tokushima UniversityJP1 paper
- University of Illinois Urbana-ChampaignUS1 paper
- University of TübingenDE1 paper
6 papers
Violation of local equilibrium thermodynamics in one-dimensional Hamiltonian-Potts model
Hitomi Endo, Michikazu Kobayashi
We investigate nonequilibrium phase coexistence associated with a first-order phase transition by numerically studying a one-dimensional Hamiltonian-Potts model with fractional spa…
Non-radial pulsations of gravitationally coupled two-fluid neutron stars in general relativity
Ankit Kumar, Daniel A. Caballero, Hajime Sotani +2
Non-radial oscillations of neutron stars provide a powerful probe of stellar structure and relativistic gravity, but a fully general relativistic treatment for gravitationally coup…
Dual terahertz frequency combs for photonic RF readout of refractive index sensing with frequency multiplication and active-dummy temperature compensation
Masayuki Higaki, Yoshiaki Nakajima, Shuji Taue +4
We present a unified refractive index (RI) sensing platform that integrates THz-comb-based frequency multiplication with dual-comb active-dummy temperature compensation. In convent…
Constraints on the varying electron mass and early dark energy in light of ACT DR6 and DESI DR2 and the implications for inflation
Yo Toda, Osamu Seto
Primarily motivated by the Hubble tension, we analyze the varying electron mass model and axionlike early dark energy model (EDE) using baryon acoustic oscillation data from DESI D…
Evaluating adaptive and generative AI-based feedback and recommendations in a knowledge-graph-integrated programming learning system
Lalita Na Nongkhai, Jingyun Wang, Adam Wynn +1
This paper introduces the design and development of a framework that integrates a large language model (LLM) with a retrieval-augmented generation (RAG) approach leveraging both a…
Deep Reinforcement Learning for Interference Suppression in RIS-Aided Space-Air-Ground Integrated Networks
Pujitha Mamillapalli, Shikhar Verma, Tiago Koketsu Rodrigues +1
Future 6G networks envision ubiquitous connectivity through space-air-ground integrated networks (SAGINs), where high-altitude platform stations (HAPSs) and satellites complement t…