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Orbit insertion strategy of Hayabusa2’s rover with large release uncertainty around the asteroid Ryugu

Astrodynamics 2020年第4期4卷 309-329页

作者： Yusuke Oki Kent Yoshikawa Hiroshi Takeuchi Shota Kikuchi Hitosi Ikeda Daniel JScheeres Jay WMcMahon junichiro kawaguchi Yuto Takei Yuya Mimasu Naoko Ogawa Go Ono Fuyuto Terui Manabu Yamada Toru Kouyama Shingo K ameda Kazuya Yoshida Kenji Nagaoka Tetsuo Yoshimitsu Takanao Saiki Yuichi Tsuda Japan A erospace Exploration Agency T'sukuba 305-8505Japan Japan Aerospace Exploration Agency Sagamihara 252-5210Japan University of Colorado BoulderCO 80309USA Planetary Exploration Research Center Chiba Institute of TechnologyNarashino 275-0016Japan National Institute of Aduanced Industrial Science and Technology Koto-ku 135-0064Japan Rikkyo University Toshima-ku 171-8501Japan Department of A erospace Engineering Tohoku UniversitySendai 980-8579Japan Kyushu Institute of Technology Kitakyusyu 804-8550Japan

This paper describes the orbit design of the deployable payload Rover 2 of MINERVA-II,installed on the Hayabusa2 *** Rover 2 did not have surface exploration capabilities,the operation team decided to experiment with a new strategy for its deployment to the *** rover was ejected at a high altitude and made a semi-hard landing on the surface of the asteroid Ryugu after several *** on the orbital analysis around Ryugu,the expected collision speed was tolerable for the rover to function *** the rover could not control its position,its motion was entirely governed by the initial ***,the largest challenge was to insert the rover into a stable orbit(despite its large release uncertainty),and avoid its escape from Ryugu due to an environment strongly perturbed by solar radiation pressure and gravitational *** study investigates the solution space of the orbit around Ryugu and evaluates the orbit’s robustness by utilizing Monte Carlo simulations to determine the orbit insertion *** analyzing the flight data of the rover operation,we verified that the rover orbited Ryugu for more than one period and established the possibility of a novel method for estimating the gravity of an asteroid.

关键词： solar radiation pressure augmented elliptic Hill three-body problem gravitational irregularity

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Correction to: Orbit insertion strategy of Hayabusa2’s rover with large release uncertainty around the asteroid Ryugu

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Astrodynamics 2021年第2期5卷 183-183页

作者： Yusuke Oki Kent Yoshikawa Hiroshi Takeuchi Shota Kikuchi Hitosi Ikeda Daniel J.Scheeres Jay W.McMahon junichiro kawaguchi Yuto Takei Yuya Mimasu Naoko Ogawa Go Ono Fuyuto Terui Manabu Yamada Toru Kouyama Shingo Kameda Kazuya Yoshida Kenji Nagaoka Tetsuo Yoshimitsu Takanao Saiki Yuichi Tsuda Japan Aerospace Exploration Agency Tsukuba305-8505Japan Japan Aerospace Exploration Agency Sagamihara252-5210Japan University of Colorado BoulderCO80309USA Planetary Exploration Research Center Chiba Institute of TechnologyNarashino275-0016Japan National Institute of Advanced Industrial Science and Technology Koto-ku135-0064Japan Rikkyo University Toshima-ku171-8501Japan Department of Aerospace Engineering Tohoku UniversitySendai980-8579Japan Kyushu Institute of Technology Kitakyusyu804-8550Japan

Correction to:Oki,Y.,Yoshikawa,K.,Takeuchi,*** *** insertion strategy of Hayabusa2's rover with large release uncertainty around the asteroid *** 2020,4(4):309-329 https://***/10.1007/s42064-020-0080-y The article“Orbit insertion strategy of Hayabusa2’s rover with large release uncertainty around the asteroid Ryugu”written by Yusuke Oki,Kent Yoshikawa,Hiroshi Takeuchi et al.,was originally published electronically on the publisher’s internet portal(currently SpringerLink)on 05 November 2020 without open *** publication in Volume 4,Issue 4,page 309–329,the author(s)decided to opt for Open Choice and to make the article an open access publication.

关键词： asteroid insertion release

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Machine-learning-assisted discovery of polymers with high thermal conductivity using a molecular design algorithm

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npj Computational Materials 2019年第1期5卷 569-579页

作者： Stephen Wu Yukiko Kondo Masa-aki Kakimoto Bin Yang Hironao Yamada Isao Kuwajima Guillaume Lambard Kenta Hongo Yibin Xu junichiro Shiomi Christoph Schick Junko Morikawa Ryo Yoshida The Institute of Statistical Mathematics Research Organization of Information and SystemsTachikawaTokyo 190-8562Japan The Graduate University for Advanced Studies TachikawaTokyo 190-8562Japan Center for Materials research by Information Integration(CMI2) Research and Services Division of Materials Data and Integrated System(MaDIS)National Institute for Materials Science(NIMS)TsukubaIbaraki 305-0047Japan Institute of Physics and Competence Centre CALOR University of Rostock18059 RostockGermany Japan Advanced Institute of Science and Technology NomiIshikawa 923-1292Japan PRESTO JSTKawaguchiSaitama 332-0012Japan The University of Tokyo Bunkyo-kuTokyo 113-8656Japan Tokyo Tech World Research Hub Initiative(WRHI) Tokyo Institute of TechnologyTokyo 226-8503Japan Tokyo Institute of Technology Meguro-kuTokyo 152-8550Japan

The use of machine learning in computational molecular design has great potential to accelerate the discovery of innovative ***,its practical benefits still remain unproven in real-world applications,particularly in polymer *** demonstrate the successful discovery of new polymers with high thermal conductivity,inspired by machine-learning-assisted polymer *** discovery was made by the interplay between machine intelligence trained on a substantially limited amount of polymeric properties data,expertise from laboratory synthesis and advanced technologies for thermophysical property *** a molecular design algorithm trained to recognize quantitative structure—property relationships with respect to thermal conductivity and other targeted polymeric properties,we identified thousands of promising hypothetical *** these candidates,three were selected for monomer synthesis and polymerization because of their synthetic accessibility and their potential for ease of processing in further *** synthesized polymers reached thermal conductivities of 0.18–0.41 W/mK,which are comparable to those of state-of-the-art polymers in non-composite thermo-plastics.

关键词： conductivity thermal property

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