{"id":4083,"date":"2022-07-25T17:00:16","date_gmt":"2022-07-25T08:00:16","guid":{"rendered":"http:\/\/www-dsc.naist.jp\/dsc_naist\/?p=4083"},"modified":"2023-03-02T10:53:09","modified_gmt":"2023-03-02T01:53:09","slug":"7%e6%9c%88%e5%ad%a6%e5%86%85%e5%85%b1%e5%90%8c%e7%a0%94%e7%a9%b6%e4%bf%83%e9%80%b2%e3%83%88%e3%83%bc%e3%82%af","status":"publish","type":"post","link":"http:\/\/www-dsc.naist.jp\/dsc_naist\/en\/7%e6%9c%88%e5%ad%a6%e5%86%85%e5%85%b1%e5%90%8c%e7%a0%94%e7%a9%b6%e4%bf%83%e9%80%b2%e3%83%88%e3%83%bc%e3%82%af\/","title":{"rendered":"DSC talk in July"},"content":{"rendered":"<p>Asst. Prof. Yosuke Harashima gave a lecture in July.<\/p>\n<p>The details are as follows.<\/p>\n<p><span style=\"font-family: georgia, palatino, serif; font-size: 12pt;\">==================== <\/span><\/p>\n<p><span style=\"font-family: georgia, palatino, serif; font-size: 12pt;\">Asst. Prof. Yosuke Harashima (Materials Informatics Laboratory)<\/span><\/p>\n<p><span style=\"font-family: georgia, palatino, serif; font-size: 12pt;\">TITLE:\u00a0<\/span>High accuracy prediction method by using data assimilation and finite-temperature magnetization of magnetic compounds<\/p>\n<p><span style=\"font-family: georgia, palatino, serif; font-size: 12pt;\">Abstract: <\/span><\/p>\n<p><span style=\"font-family: georgia, palatino, serif; font-size: 12pt;\">We have developed a data assimilation method to integrate experimental data and simulation data in materials science. Physical properties of materials depend on many parameters, such as concentrations of constituent elements. This method can be applied to such a multidimensional search space. In this talk, I will present an example of its application to the finite-temperature magnetization of permanent magnet compounds. <\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Asst. Prof. Yosuke Harashima gave a lecture in July. The details are as follows. ==================== Asst. Prof. Yosuke Harashima (Materials Informatics Laboratory) TITLE:\u00a0High accuracy prediction method by using data assimilation and finite-temperature magnetization of magnetic compounds Abstract: We have developed a data assimilation method to integrate experimental data and simulation data in materials science. Physical [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_locale":"en_US","_original_post":"http:\/\/www-dsc.naist.jp\/dsc_naist\/?p=4080","_links_to":"","_links_to_target":""},"categories":[3],"tags":[],"event_taxonomy":[15],"acf":[],"_links":{"self":[{"href":"http:\/\/www-dsc.naist.jp\/dsc_naist\/wp-json\/wp\/v2\/posts\/4083"}],"collection":[{"href":"http:\/\/www-dsc.naist.jp\/dsc_naist\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/www-dsc.naist.jp\/dsc_naist\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/www-dsc.naist.jp\/dsc_naist\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/www-dsc.naist.jp\/dsc_naist\/wp-json\/wp\/v2\/comments?post=4083"}],"version-history":[{"count":1,"href":"http:\/\/www-dsc.naist.jp\/dsc_naist\/wp-json\/wp\/v2\/posts\/4083\/revisions"}],"predecessor-version":[{"id":4084,"href":"http:\/\/www-dsc.naist.jp\/dsc_naist\/wp-json\/wp\/v2\/posts\/4083\/revisions\/4084"}],"wp:attachment":[{"href":"http:\/\/www-dsc.naist.jp\/dsc_naist\/wp-json\/wp\/v2\/media?parent=4083"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/www-dsc.naist.jp\/dsc_naist\/wp-json\/wp\/v2\/categories?post=4083"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/www-dsc.naist.jp\/dsc_naist\/wp-json\/wp\/v2\/tags?post=4083"},{"taxonomy":"event_taxonomy","embeddable":true,"href":"http:\/\/www-dsc.naist.jp\/dsc_naist\/wp-json\/wp\/v2\/event_taxonomy?post=4083"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}