173 citations
- The University of OsakaJP17 papers
- Istituto Nazionale di Fisica Nucleare, Roma Tor VergataIT10 papers
- Kavli Institute for Particle Astrophysics and CosmologyUS10 papers
- Yamagata UniversityJP10 papers
- Agenzia Spaziale ItalianaIT9 papers
- Astronomical Institute of the Slovak Academy of SciencesSK9 papers
- Astronomical Observatory of RomeIT9 papers
- Centre National de la Recherche ScientifiqueFR9 papers
- Czech Academy of Sciences, Astronomical InstituteCZ9 papers
- Instituto de Astrofísica de AndalucíaES9 papers
- Istituto Nazionale di Fisica Nucleare, Sezione di TorinoIT9 papers
- Nagoya UniversityJP9 papers
17 papers
Extraction of slip velocity in NEMD Couette flow systems using frictional dissipation
Hiroki Kusudo, Yasutaka Yamaguchi, Gota Kikugawa
Velocity slip at the solid--fluid (SF) interface plays a key role in fluid transport at the nanoscale, and the SF friction coefficient has been extensively studied because it indic…
Construction of cubic nonlinear lattice free from umklapp processes
Hiroki Ono, Yusuke Doi, Akihiro Nakatani
We propose a novel type of umklapp-free lattice (UFL), where umklapp processes are completely absent. The proposed UFL incorporates cubic long-range nonlinearity, a feature not add…
Nonlinear Model Predictive Control with Single-Shooting Method for Autonomous Personal Mobility Vehicle
Rakha Rahmadani Pratama, Catur Hilman A. H. B. Baskoro, Joga Dharma Setiawan +4
This paper introduces a proposed control method for autonomous personal mobility vehicles, specifically the Single-passenger Electric Autonomous Transporter (SEATER), using Nonline…
SILVIA: Ultra-precision formation flying demonstration for space-based interferometry
Takahiro Ito, Kiwamu Izumi, Isao Kawano +26
We propose SILVIA (Space Interferometer Laboratory Voyaging towards Innovative Applications), a mission concept designed to demonstrate ultra-precision formation flying between thr…
Interleaved Multitask Learning with Energy Modulated Learning Progress
Hanne Say, Suzan Ece Ada, Emre Ugur +2
As humans learn new skills and apply their existing knowledge while maintaining previously learned information, "continual learning" in machine learning aims to incorporate new dat…
Deep Concept Identification for Generative Design
Ryo Tsumoto, Kentaro Yaji, Yutaka Nomaguchi +1
A generative design based on topology optimization provides diverse alternatives as entities in a computational model with a high design degree. However, as the diversity of the ge…