{"id":13853,"date":"2017-12-10T08:37:00","date_gmt":"2017-12-10T08:37:00","guid":{"rendered":"https:\/\/www.revoscience.com\/en\/?p=13853"},"modified":"2017-12-10T08:37:00","modified_gmt":"2017-12-10T08:37:00","slug":"controlling-spin-memory-storage","status":"publish","type":"post","link":"https:\/\/www.revoscience.com\/en\/controlling-spin-memory-storage\/","title":{"rendered":"Controlling spin for memory storage"},"content":{"rendered":"

Using computer simulations, researchers are learning how lasers might be used to switch how electrons spin within magnetic materials, making room for faster magnetic memory devices.<\/strong><\/em><\/span><\/p>\n

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By applying light, the parallel spin arrangement is changed to antiparallel.<\/figcaption><\/figure>\n

Tohoku University researchers have developed a mathematical model that shows that using ultrafast laser pulses to excite electrons in a magnetic material switches them into a transient non-magnetic state. This manipulation of a material\u2019s magnetism using lasers could reduce the time involved in magnetization reversal, which is necessary for magnetic storage and information processing technologies.<\/span><\/p>\n

Storing \u2018bits\u2019, or binary digits, of information in magnetic memory devices requires the ability to reverse the magnetism within a material between ferromagnetic and antiferromagnetic. In the ferromagnetic state, the electrons within the material align parallel to each other and spin in the same direction, making them and the material magnetic. In the antiferromagnetic state, the electrons align parallel to each other but neighbouring electrons spin in opposite directions, cancelling out each other\u2019s effects and making them and the material in which they exist virtually non-magnetic.<\/span><\/p>\n

Fast memory storage requires rapid magnetization reversal. Currently, reversal happens by applying a magnetic field to the material. But researchers have been studying ways to manipulate this reversal using ultrafast lasers to get even faster memory storage. The shorter the laser\u2019s pulse, the faster the reversal will be.<\/span><\/p>\n

Tohoku University physicists Atsushi Ono and Sumio Ishihara developed a mathematical approach to model how electrons and their spins interact with each other and react to laser light.<\/span><\/p>\n

They found that exposing electrons in ferromagnetic materials to a continuous laser light makes them excited, causing electron interactions that lead to an antiferromagnetic state. Applying ultrafast light pulses also leads to switching from ferromagnetism to transient antiferromagnetism, followed by recovery of ferromagnetism. When the researchers applied an ultrafast laser pulse followed by a continuous laser light, the electrons were manipulated into an antiferromagnetic state that was then maintained by the continuous light. Removing the continuous light caused the gradual disappearance of the antiferromagnetic state.<\/span><\/p>\n

Understanding these interactions, as well as the fundamental limits of spin reversal, is necessary for future development of magnetic memory devices. The next step will require physical experiments to test the model\u2019s predictions.\u00a0<\/span><\/p>\n

\u201cExperimental confirmations are indispensable for establishing the present proposal,\u201d write the researchers in their study published in the journal Physical Review Letters. Ono and Ishihara suggest perovskite manganites and layered manganites as possible materials for testing their model. They also suggest a variety of techniques, such as magnetic x-ray diffraction and photoemission spectroscopy, for observing the transient antiferromagnetic state.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

Using computer simulations, researchers are learning how lasers might be used to switch how electrons spin within magnetic materials, making room for faster magnetic memory devices. Tohoku University researchers have developed a mathematical model that shows that using ultrafast laser pulses to excite electrons in a magnetic material switches them into a transient non-magnetic state. […]<\/p>\n","protected":false},"author":6,"featured_media":13854,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[43,17],"tags":[],"class_list":["post-13853","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-computer-science","category-research"],"featured_image_urls":{"full":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2017\/12\/5108.jpg",590,438,false],"thumbnail":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2017\/12\/5108-150x150.jpg",150,150,true],"medium":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2017\/12\/5108-300x223.jpg",300,223,true],"medium_large":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2017\/12\/5108.jpg",590,438,false],"large":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2017\/12\/5108.jpg",590,438,false],"1536x1536":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2017\/12\/5108.jpg",590,438,false],"2048x2048":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2017\/12\/5108.jpg",590,438,false],"ultp_layout_landscape_large":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2017\/12\/5108.jpg",590,438,false],"ultp_layout_landscape":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2017\/12\/5108.jpg",590,438,false],"ultp_layout_portrait":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2017\/12\/5108.jpg",590,438,false],"ultp_layout_square":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2017\/12\/5108.jpg",590,438,false],"newspaper-x-single-post":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2017\/12\/5108.jpg",590,438,false],"newspaper-x-recent-post-big":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2017\/12\/5108.jpg",485,360,false],"newspaper-x-recent-post-list-image":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2017\/12\/5108.jpg",88,65,false],"web-stories-poster-portrait":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2017\/12\/5108.jpg",590,438,false],"web-stories-publisher-logo":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2017\/12\/5108.jpg",96,71,false],"web-stories-thumbnail":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2017\/12\/5108.jpg",150,111,false]},"author_info":{"info":["Amrita Tuladhar"]},"category_info":"Computer Science<\/a> Research<\/a>","tag_info":"Research","comment_count":"0","_links":{"self":[{"href":"https:\/\/www.revoscience.com\/en\/wp-json\/wp\/v2\/posts\/13853","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.revoscience.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.revoscience.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.revoscience.com\/en\/wp-json\/wp\/v2\/users\/6"}],"replies":[{"embeddable":true,"href":"https:\/\/www.revoscience.com\/en\/wp-json\/wp\/v2\/comments?post=13853"}],"version-history":[{"count":0,"href":"https:\/\/www.revoscience.com\/en\/wp-json\/wp\/v2\/posts\/13853\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.revoscience.com\/en\/wp-json\/wp\/v2\/media\/13854"}],"wp:attachment":[{"href":"https:\/\/www.revoscience.com\/en\/wp-json\/wp\/v2\/media?parent=13853"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.revoscience.com\/en\/wp-json\/wp\/v2\/categories?post=13853"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.revoscience.com\/en\/wp-json\/wp\/v2\/tags?post=13853"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}