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Institution

Iwate University

EducationMorioka, Japan
About: Iwate University is a education organization based out in Morioka, Japan. It is known for research contribution in the topics: Population & Magnetization. The organization has 6090 authors who have published 9636 publications receiving 154859 citations. The organization is also known as: Iwate Daigaku.


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Journal ArticleDOI
TL;DR: The results suggest that the cathode material reported on could enable production of batteries that meet the demanding performance and safety requirements of plug-in hybrid electric vehicles.
Abstract: Layered lithium nickel-rich oxides, Li[Ni(1-x)M(x)]O(2) (M=metal), have attracted significant interest as the cathode material for rechargeable lithium batteries owing to their high capacity, excellent rate capability and low cost. However, their low thermal-abuse tolerance and poor cycle life, especially at elevated temperature, prohibit their use in practical batteries. Here, we report on a concentration-gradient cathode material for rechargeable lithium batteries based on a layered lithium nickel cobalt manganese oxide. In this material, each particle has a central bulk that is rich in Ni and a Mn-rich outer layer with decreasing Ni concentration and increasing Mn and Co concentrations as the surface is approached. The former provides high capacity, whereas the latter improves the thermal stability. A half cell using our concentration-gradient cathode material achieved a high capacity of 209 mA h g(-1) and retained 96% of this capacity after 50 charge-discharge cycles under an aggressive test profile (55 degrees C between 3.0 and 4.4 V). Our concentration-gradient material also showed superior performance in thermal-abuse tests compared with the bulk composition Li[Ni(0.8)Co(0.1)Mn(0.1)]O(2) used as reference. These results suggest that our cathode material could enable production of batteries that meet the demanding performance and safety requirements of plug-in hybrid electric vehicles.

1,301 citations

Journal ArticleDOI
TL;DR: Electrochemical oxidation/reduction data show that simultaneous oxygen and lithium removal at the voltage plateau upon initial charge causes the structural rearrangement, including a cation migration process from metal to lithium layers, which is consistent with the mechanism proposed in the literature related to the Li-excess manganese layered oxides.
Abstract: Lithium-excess manganese layered oxides, which are commonly described by the chemical formula zLi2MnO3−(1 − z)LiMeO2 (Me = Co, Ni, Mn, etc.), are of great importance as positive electrode materials for rechargeable lithium batteries. In this Article, LixCo0.13Ni0.13Mn0.54O2−δ samples are prepared from Li1.2Ni0.13Co0.13Mn0.54O2 (or 0.5Li2MnO3−0.5LiCo1/3Ni1/3Mn1/3O2) by an electrochemical oxidation/reduction process in an electrochemical cell to study a reaction mechanism in detail before and after charging across a voltage plateau at 4.5 V vs Li/Li+. Changes of the bulk and surface structures are examined by synchrotron X-ray diffraction (SXRD), X-ray absorption spectroscopy (XAS), X-ray photoelectron spectroscopy (XPS), and time-of-flight secondary ion mass spectroscopy (SIMS). SXRD data show that simultaneous oxygen and lithium removal at the voltage plateau upon initial charge causes the structural rearrangement, including a cation migration process from metal to lithium layers, which is also supported ...

1,053 citations

Journal ArticleDOI
TL;DR: Results show that MutMap can accelerate the genetic improvement of rice and other crop plants and identify the unique genomic positions most probable to harbor mutations causing pale green leaves and semidwarfism, an agronomically relevant trait.
Abstract: The majority of agronomic traits are controlled by multiple genes that cause minor phenotypic effects, making the identification of these genes difficult Here we introduce MutMap, a method based on whole-genome resequencing of pooled DNA from a segregating population of plants that show a useful phenotype In MutMap, a mutant is crossed directly to the original wild-type line and then selfed, allowing unequivocal segregation in second filial generation (F(2)) progeny of subtle phenotypic differences This approach is particularly amenable to crop species because it minimizes the number of genetic crosses (n = 1 or 0) and mutant F(2) progeny that are required We applied MutMap to seven mutants of a Japanese elite rice cultivar and identified the unique genomic positions most probable to harbor mutations causing pale green leaves and semidwarfism, an agronomically relevant trait These results show that MutMap can accelerate the genetic improvement of rice and other crop plants

984 citations

Journal ArticleDOI
TL;DR: Simulation study showed that QTL-seq is able to detect QTLs over wide ranges of experimental variables, and the method can be generally applied in population genomics studies to rapidly identify genomic regions that underwent artificial or natural selective sweeps.
Abstract: SUMMARY The majority of agronomically important crop traits are quantitative, meaning that they are controlled by multiple genes each with a small effect (quantitative trait loci, QTLs). Mapping and isolation of QTLs is important for efficient crop breeding by marker-assisted selection (MAS) and for a better understanding of the molecular mechanisms underlying the traits. However, since it requires the development and selection of DNA markers for linkage analysis, QTL analysis has been time-consuming and labor-intensive. Here we report the rapid identification of plant QTLs by whole-genome resequencing of DNAs from two populations each composed of 20–50 individuals showing extreme opposite trait values for a given phenotype in a segregating progeny. We propose to name this approach QTL-seq as applied to plant species. We applied QTL-seq to rice recombinant inbred lines and F2 populations and successfully identified QTLs for important agronomic traits, such as partial resistance to the fungal rice blast disease and seedling vigor. Simulation study showed that QTL-seq is able to detect QTLs over wide ranges of experimental variables, and the method can be generally applied in population genomics studies to rapidly identify genomic regions that underwent artificial or natural selective sweeps.

911 citations

Journal ArticleDOI
Kazuhisa Mitsuda, Mark W. Bautz1, Hajime Inoue, Richard L. Kelley2, Katsuji Koyama3, Hideyo Kunieda4, Kazuo Makishima5, Yoshiaki Ogawara, Robert Petre2, Tadayuk Takahashi, Hiroshi Tsunemi6, Nicholas E. White2, Naohisa Anabuki6, Lorella Angelini2, Keith A. Arnaud2, Hisamitsu Awaki7, Aya Bamba, Kevin R. Boyce2, Gregory V. Brown2, Kai Wing Chan2, Jean Cottam2, Tadayasu Dotani, John P. Doty, Ken Ebisawa, Yuichiro Ezoe, Andrew C. Fabian8, Enectali Figueroa2, Ryuichi Fujimoto, Yasushi Fukazawa9, Tae Furusho, Akihiro Furuzawa4, Keith C. Gendreau2, Richard E. Griffiths10, Yoshito Haba4, Kenji Hamaguchi2, Ilana M. Harrus2, Günther Hasinger11, Isamu Hatsukade12, Kiyoshi Hayashida4, Patrick Henry, Junko S. Hiraga, Stephen S. Holt13, Ann Hornschemeier2, John P. Hughes14, Una Hwang2, Manabu Ishida15, Yoshitaka Ishisaki15, Naoki Isobe, Masayuki Itoh16, Naoko Iyomoto2, Steven M. Kahn17, Tuneyoshi Kamae17, Hideaki Katagiri9, Jun Kataoka18, Haruyoshi Katayama, Nobuyuki Kawai18, Caroline Kllbourne2, Kenzo Kinugasa, Steve Klssel1, Shunji Kitamoto19, Mitsuhiro Kohama, Takayoshi Kohmura20, Motohide Kokubun5, Taro Kotani18, J. Kotoku18, Aya Kubota5, Greg Madejski17, Yoshitomo Maeda, Fumiyoshi Makino, Alex Markowitz2, Chiho Matsumoto4, Hironori Matsumoto3, Masaru Matsuoka, Kyoko Matsushita21, Dan McCammon22, Tatehiko Mihara, Kazutami Misakl11, Emi Miyata6, Tsunefumi Mizuno9, Koji Mori12, Hideyuki Mori3, Mikio Morii, Harvey Moseley2, Koji Mukai2, Hiroshi Murakami, Toshio Murakami23, Richard Mushotzky2, Fumiaki Nagase, M. Namiki6, Hitoshi Negoro24, Kazuhiro Nakazawa, John A. Nousek25, Takashi Okajima2, Yasushi Ogasaka4, Takaya Ohashi15, T. Oshima15, Naomi Ota, Masanobu Ozaki, H. Ozawa6, Arvind Parmar26, W. D. Pence2, F. Scott Porter2, James Reeves2, George R. Ricker1, Ikuya Sakurai4, Wilton T. Sanders, Atsushi Senda, Peter J. Serlemitsos2, Ryo Shibata4, Yang Soong2, Randall K. Smith2, Motoko Suzuki, Andrew Szymkowiak27, Hiromitsu Takahashi9, Toru Tamagawa, Keisuke Tamura4, Takayuki Tamura, Yasuo Tanaka11, Makoto Tashiro28, Yuzuru Tawara4, Yukikatsu Terada, Yuichi Terashima, Hiroshi Tomida, Ken'ichi Torii6, Yohko Tsuboi29, Masahiro Tsujimoto19, Takeshi Go Tsuru3, Martin J. L. Turner30, Yoshihiro Ueda3, Shiro Ueno, M. Ueno18, Shin'ichiro Uno31, Yuji Urata28, Shin Watanabe, Norimasa Yamamoto4, Kazutaka Yamaoka32, Noriko Y. Yamasaki, Koujun Yamashita4, Makoto Yamauchi12, Shigeo Yamauchi33, Tahir Yaqoob2, Daisuke Yonetoku23, Atsumasa Yoshida32 
TL;DR: In this paper, the authors summarized the spacecraft, in-orbit performance, operations, and data processing that are related to observations of the Suzaku X-ray observatory, including high-sensitivity wide-band Xray spectroscopy.
Abstract: High-sensitivity wide-band X-ray spectroscopy is the key feature of the Suzaku X-ray observatory, launched on 2005 July 10. This paper summarizes the spacecraft, in-orbit performance, operations, and data processing that are related to observations. The scientific instruments, the high-throughput X-ray telescopes, X-ray CCD cameras, non-imaging hard X-ray detector are also described.

908 citations


Authors

Showing all 6110 results

NameH-indexPapersCitations
Yasuo Uchiyama9739646807
Seishi Ogawa9171035750
Shinichi Komaba7434126032
Junko N. Kondo7336519235
Seung-Taek Myung7328522629
Nobuyuki Kawai6651532823
Shiro Kobayashi6356615902
Shinji Makino6115911006
Ryohei Terauchi6023112356
Shigeru Saito5633612902
Masato Murakami5476915031
Timothy D. H. Bugg511919844
Masatoshi Sakawa494688958
Toshiro Takabatake4977111332
Chizuko Kabuto473837953
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20238
202224
2021318
2020384
2019368
2018339