{"id":1448,"date":"2023-03-16T14:32:06","date_gmt":"2023-03-16T12:32:06","guid":{"rendered":"https:\/\/idealcofund-project.eu\/postdoc\/?page_id=1448"},"modified":"2023-03-23T12:22:33","modified_gmt":"2023-03-23T10:22:33","slug":"spintronics-based-neuromorphic-computation","status":"publish","type":"page","link":"https:\/\/idealcofund-project.eu\/postdoc\/research-topics\/spintronics-based-neuromorphic-computation\/","title":{"rendered":"Spintronics-based neuromorphic computation"},"content":{"rendered":"

[et_pb_section fb_built=”1″ _builder_version=”4.9.4″ _module_preset=”default” background_enable_image=”off” custom_padding=”2px||12px|||” global_module=”509″ saved_tabs=”all” global_colors_info=”{}”][et_pb_row use_custom_gutter=”on” gutter_width=”1″ _builder_version=”4.16″ _module_preset=”default” width=”100%” max_width=”100%” custom_padding=”4px|||||” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_divider divider_weight=”60px” _builder_version=”4.16″ _module_preset=”default” width=”100%” max_width=”100%” global_colors_info=”{}”][\/et_pb_divider][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][lwp_divi_breadcrumbs home_text=”Inicio” use_before_icon=”off” link_color=”#89B7CA” current_text_color=”#001733″ _builder_version=”4.16″ _module_preset=”default” custom_padding=”||0px|||” global_colors_info=”{}”][\/lwp_divi_breadcrumbs][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ _builder_version=”4.16″ _module_preset=”default” custom_padding=”0px|||||” global_colors_info=”{}”][et_pb_row _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.19.0″ _module_preset=”default” custom_margin=”||29px|||” global_colors_info=”{}”]<\/p>\n

RESEARCH PROGRAMMES <\/strong><\/h2>\n

P4:Nanomagnetism and critical raw materials<\/p>\n

P5: Solid state quantum devices for information<\/p>\n

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RESEARCH SUPERVISOR(S)<\/strong><\/h2>\n

Dr Lucas P\u00e9rez
Research Group website: https:\/\/nanociencia.imdea.org\/electrodeposited-nanowires\/group-home<\/a><\/p>\n

Dr Paolo Perna
Research Group website: https:\/\/nanociencia.imdea.org\/spinorbitronics\/group-home<\/a><\/p>\n

Dr. Mariela Menghini
Research Group website: https:\/\/sites.google.com\/view\/transportqm-imdeanano\/<\/a><\/p>\n

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RESEARCH TOPIC DESCRIPTION<\/strong><\/h2>\n

Technologies based on artificial neural networks are considered to be a promising direction for future artificial intelligence. Artificial synapses and neurons are the building blocks of neuromorphic computation and, therefore, their development is key for the implementation of this technology. Domain-wall spintronics has brought different strategies to the field. In particular, spin-orbit-torque (SOT) magnetization switching and domain wall motion in ferromagnetic materials have been implemented for mimicking both synapses and neurons. However, ferromagnets have two main drawbacks for their integration in computing: the large current density needed for magnetization reversal and the long switching times. On the contrary, in ferrimagnets (FiM), close to the magnetic moment compensation, SOTs are enormous and the velocity of domain walls extraordinarily high, making FiMs potential candidates for developing ultra-fast and energy-efficient spintronic applications.<\/p>\n

The aim of the proposed research is to design, fabricate and characterize both synapses and neurons based on magnetic switching in Gd-based ferrimagnets. The field-free switching mechanisms (SOT, optical and geometrical switching) will be previously explored to have an insight into the physical mechanism underlying the magnetization dynamics.<\/p>\n

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POSITION DESCRIPTION<\/strong><\/h2>\n

The candidate should have a PhD in Physics or Material Science or in a closely related field of science. An ideal candidate will have previous experience in Condensed Matter Physics, Nanomagnetism or Nanodevices. Practical skills on growth, nanofabrication as well as transport and optical characterization will be an advantage for the development of the project. Candidates with a strong publication record and a systematic research attitude are encouraged to apply. Furthermore, the ability to work on an interdisciplinary topic and international environment, analytical but creative thinking and effective communication skills are also important.<\/p>\n

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PARTNER ORGANIZATIONS<\/strong><\/h2>\n

Within this project we foresee visits and\/or secondments to institutions from the network of the involved research groups such as CNRS-Thales, NamLab-Dresden, FZJ-Julich, SPINTEC-Grenoble, FZU-Prague, Uni-Duisburg, as well as the participation in synchrotron experiments at ALBA, SOLEIL, ESRF, BESSY and ELETTRA.<\/p>\n

The project\u2019s framework is ensured by the participation of the research groups in national and EU projects as EU FLAGERA SOgraphMEM (coordinated by Prof. Perna), national ECLIPSE-ECoSOx (PIs: Prof. Perna and Dr. Menghini), PID2020-117024GB-C43 (PI: Prof. Perez), TED2021-130957B-C52 (PI: Prof. Perez) and regional NanoMagCOST-CM (PI: Prof. Perna), Nmat2D projects. Also, the hosting groups are active within the Spanish (SpinRed2) and the EU (The Spintroinc Factory, Graphene Flagship) networks.<\/p>\n

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<\/span> Inicio<\/span><\/a><\/span> &#x39;<\/span> <\/span><\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>RESEARCH PROGRAMMES P4:Nanomagnetism and critical raw materials P5: Solid state quantum devices for informationRESEARCH SUPERVISOR(S) Dr Lucas P\u00e9rezResearch Group website: https:\/\/nanociencia.imdea.org\/electrodeposited-nanowires\/group-home Dr Paolo PernaResearch Group website: https:\/\/nanociencia.imdea.org\/spinorbitronics\/group-home Dr. Mariela MenghiniResearch Group website: https:\/\/sites.google.com\/view\/transportqm-imdeanano\/RESEARCH TOPIC DESCRIPTION Technologies based on artificial neural networks are considered to be a promising […]<\/p>\n","protected":false},"author":156,"featured_media":0,"parent":625,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","inline_featured_image":false,"footnotes":""},"class_list":["post-1448","page","type-page","status-publish","hentry"],"yoast_head":"\nSpintronics-based neuromorphic computation - 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