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Lin, J. Q.*; Liu, X.*; Blackburn, E.*; 脇本 秀一; Ding, H.*; Islam, Z.*; Sinha, S. K.*
Physical Review Letters, 120(19), p.197001_1 - 197001_6, 2018/05
被引用回数:3 パーセンタイル:29(Physics, Multidisciplinary)X線散漫散乱の観測により、銅酸化物高温超伝導体LaSrCuO中の不純物Srにより生じるナノスケールの格子歪みを観測した。この結果は、これまで議論となっていた不純物による歪みの性質を明らかにしたとともに、STMで観測されているギャップの不均一性の原因ではないことを明らかにした。
Scheneidewind, A.*; Hiess, A.*; Stockert, O.*; 阿曽 尚文*; 佐藤 憲昭*; Raymond, S.*; 金子 耕士; Blackburn, E.*; Steffens, P.*; Lander, G. H.*
no journal, ,
Inelastic neutron scattering (INS) has been of particular importance in studying the interrelation of magnetism and superconductivity by determining the momentum- and energy-dependent microscopic spin dynamics in both the normal and superconducting state. In this context, we recently revisited the spin dynamics in the iso-structural magnetic superconductors UPdAl ( = 2K) and UNiAl ( = 1K). The magnetic order in UPdAl is commensurate with = (0, 0, 0.5), but incommensurate in UNiAl with = (0.39, 0, 0.5). We here present new INS results on the normal state spin dynamics of UNiAl in high resolution TAS mode as well as with the FlatCone set-up, and the influence of magnetic field on the spin dynamics in the superconducting state in UPdAl with a half-polarized setup.
Gerd, D.*; Albinet, F.*; 斎藤 公明; 武宮 博; 町田 昌彦; 江口 哲也*; Smolders, E.*; Blackburn, C.*; Heng, L.*
no journal, ,
Under the situation of a major nuclear accident with adverse consequences for food production and agricultural systems, due to an uncontrolled release of large amounts of radionuclides, remediation of farmland requires accurate environmental data. Area-wide radiation mapping and soil information are such data which play a major role. Radiation mapping help prioritize where and how to remediate, and soil information assist in selecting the optimal agricultural measures. Through the international research network under the IAEA funded Coordinated Research Project D1.50.19 on "Remediation of Radioactive Contaminated Agricultural Land", the Joint FAO/IAEA Centre of Nuclear Techniques in Food and Agriculture investigated how artificial intelligence tools can be used to assist decisions makers in their efforts to provide such information. This presentation will provide three examples.