132 citations
- The University of OsakaJP94 papers
- Kyoto UniversityJP33 papers
- The University of TokyoJP25 papers
- Nagoya UniversityJP24 papers
- Osaka Health Science UniversityJP22 papers
- High Energy Accelerator Research OrganizationJP20 papers
- Kyushu UniversityJP18 papers
- Osaka Prefectural Toyonaka Support SchoolJP18 papers
- Johannes Gutenberg University MainzDE17 papers
- Michigan State UniversityUS17 papers
- Tsinghua UniversityCN17 papers
- Université Paris-SaclayFR17 papers
119 papers
Adaptive sliding mode formation control for space interferometer missions
Mauro Mancini, Giulia Alessandra Tataru, Satoshi Satoh +1
This paper addresses high-precision formation control for spacecraft operating in low Earth orbit, motivated by the requirements of future space interferometry missions such as SIL…
Co-design of Neural and Muscle Network based on Embodied Perceptron Representation
Siyuan Tao, Yoichi Masuda, Hiroyuki Nabae +1
Recent advances in AI technologies have enabled the advanced design of complex control policies. In contrast, focusing on the body, many robots still employ simple bodies that can…
Electrothermal control of spin-reorientation transition in Co/Fe_3GaTe_2 heterostructures
Po-Wei Chen, Ming-Hsien Hsu, Cheng-Ying Hsiao +13
Electrical control of magnetic anisotropy in van der Waals (vdWs) magnets is a key step toward reconfigurable two-dimensional spintronics, yet how a conventional metallic ferromagn…
Study of Particle Fluence Effects on Collected Charge and Depletion Voltage of the ATLAS IBL Planar Pixel Sensors
ATLAS Collaboration
After ten years of operation at the LHC, the planar pixel sensors of the innermost barrel layer of the ATLAS Pixel detector have accumulated an average bulk damage fluence in exces…
Possible Pairing Symmetry of BaPtAsSb with an Ordered Honeycomb Network
Tsuyoshi Imazu, Naoya Furutani, Tadashi Adachi +3
We investigate the possible pairing symmetry of superconducting solid solution with an ordered-honeycomb network of Pt and pnictogens. A sp…
Deep learning of committor and explainable artificial intelligence analysis for identifying reaction coordinates
Toshifumi Mori, Kei-ichi Okazaki, Kang Kim +1
In complex molecular systems, the reaction coordinate (RC) that characterizes transition pathways is essential to understand underlying molecular mechanisms. This review surveys a…