Institution
Iwate University
Education•Morioka, 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.
Topics: Population, Magnetization, Magnetic field, Lithium, Superconductivity
Papers published on a yearly basis
Papers
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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
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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
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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
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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
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Massachusetts Institute of Technology1, Goddard Space Flight Center2, Kyoto University3, Nagoya University4, University of Tokyo5, Osaka University6, Ehime University7, University of Cambridge8, Hiroshima University9, Carnegie Mellon University10, Max Planck Society11, University of Miyazaki12, Franklin W. Olin College of Engineering13, Rutgers University14, Tokyo Metropolitan University15, Kobe University16, Stanford University17, Tokyo Institute of Technology18, Rikkyo University19, Kogakuin University20, Tokyo University of Science21, University of Wisconsin-Madison22, Kanazawa University23, Nihon University24, Pennsylvania State University25, European Space Research and Technology Centre26, Yale University27, Saitama University28, Chuo University29, University of Leicester30, Nihon Fukushi University31, Aoyama Gakuin University32, Iwate University33
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
Name | H-index | Papers | Citations |
---|---|---|---|
Yasuo Uchiyama | 97 | 396 | 46807 |
Seishi Ogawa | 91 | 710 | 35750 |
Shinichi Komaba | 74 | 341 | 26032 |
Junko N. Kondo | 73 | 365 | 19235 |
Seung-Taek Myung | 73 | 285 | 22629 |
Nobuyuki Kawai | 66 | 515 | 32823 |
Shiro Kobayashi | 63 | 566 | 15902 |
Shinji Makino | 61 | 159 | 11006 |
Ryohei Terauchi | 60 | 231 | 12356 |
Shigeru Saito | 56 | 336 | 12902 |
Masato Murakami | 54 | 769 | 15031 |
Timothy D. H. Bugg | 51 | 191 | 9844 |
Masatoshi Sakawa | 49 | 468 | 8958 |
Toshiro Takabatake | 49 | 771 | 11332 |
Chizuko Kabuto | 47 | 383 | 7953 |