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DESCRIPTION:Biography\n\nShunsuke Fukami is a Professor of the Research Ins
 titute of Electrical Communication (RIEC)\, and the director of the Center
  for Science and Innovation in Spintronics (CSIS) of Tohoku University\, J
 apan. His areas of expertise include spintronics physics/materials/devices
  and their application to integrated circuits and novel-computing hardware
 .He received his doctor degree in 2012 from Nagoya University. He joined N
 EC Corporation in 2005 and moved to Tohoku University in 2011. Since 2020\
 , he has served as a Full Professor at Tohoku University.\n\nAbstract\n\nI
 n this seminar\, I will discuss two topics studied in Spintronics Laborato
 ry at the Research Institute of Electrical Communication in Tohoku Univers
 ity. The first topic is spintronics with noncollinear antiferromagnet. Non
 collinear antiferromagnets\, represented by Mn3Sn\, show intriguing proper
 ties similar to ferromagnets such as the anomalous Hall effect\, despite v
 anishingly small net magnetization. We achieved an epitaxial growth of bot
 h M-plane and C-plane Mn3Sn thin film\, in which a chiral-spin structure i
 n the Kagome plane is oriented perpendicular or parallel to the film plane
  [1]. Using these stacks\, we have shown various interesting phenomena nev
 er seen in conventional ferromagnets\, including persistent chiral-spin ro
 tation [2\,3]\, quantum-metric induced nonlinear Hall effect [4]\, and mut
 ual switching [5].\n\nThe second topic is spintronics with probabilistic d
 evices\, to be more specific\, stochastic magnetic tunnel junctions (s-MTJ
 s). Conventional computers made of CMOS circuits are based on deterministi
 c\, synchronous\, and directional operations. While playing significant ro
 le in today’s information society\, they have several types of problems 
 that cannot be efficiently addressed. Probabilistic computers with probabi
 listic bits are expected to be promising to address such complex tasks. We
  have shown proof-of-concepts of probabilistic computing with s-MTJs\, inc
 luding combinatorial optimization [6]\, machine learning [7]\, and quantum
  simulation [8]\, and have also developed understanding and technologies t
 o enhance the device properties [9-11].\n\nThe first and second topics hav
 e been carried out in collaboration with Y. Takeuchi\, Y. Sato\, Y. Yamane
 \, J. Han\, J.-Y. Yoon et al.\, and S. Kanai\, K. Hayakawa\, K. Kobayashi\
 , W.A. Borders\, K. Camsari\, D. Datta et al.\, respectively and both topi
 cs have been supervised by H. Ohno. These works have been partly supported
  by JSPS Kakenhi\, MEXT X-NICS\, and JST-ASPIRE.\n\n[1] J.-Y. Yoon et al\,
  Applied Physics Express 13\, 013001 (2020).\n\n[2] Y. Takeuchi et al.\, N
 ature Materials 20\, 1364 (2021).\n\n[3] Y. Takeuchi et al.\, Science 389\
 , 830 (2025).\n\n[4] J. Han et al.\, Nature Physics 20\, 1110 (2024).\n\n[
 5] J.-Y. Yoon et al.\, Nature Communications\, 16\, 1171 (2025).\n\n[6] W.
  A. Borders et al\, Nature 573\, 390-393 (2019).\n\n[7] J. Kaiser et al.\,
  Physical Review Applied 17\, 014016 (2022).\n\n[8] A. Grimaldi et al.\, I
 EDM 2022\; doi: 10.1109/IEDM45625.2022.10019530\n\n[9] K. Hayakawa et al.\
 , Physical Review Letters 126\, 117202 (2021).\n\n[10] S. Kanai et al.\, P
 hysical Review B 103\, 094423 (2021).\n\n[11] K. Kobayashi et al.\, Physic
 al Review Applied 18\, 054085 (2022).\n\nRoom: 4-A014\, Bldg: Institut Jea
 n Lamour \, 5 Allee Guinier\, Nancy\, Lorraine\, France\, 54011
LOCATION:Room: 4-A014\, Bldg: Institut Jean Lamour \, 5 Allee Guinier\, Nan
 cy\, Lorraine\, France\, 54011
ORGANIZER:stephane.mangin@univ-lorraine.fr
SEQUENCE:5
SUMMARY:Noncollinear Spintronics and Probabilistic Spintronics
URL;VALUE=URI:https://events.vtools.ieee.org/m/559856
X-ALT-DESC:Description: &lt;br /&gt;&lt;p class=&quot;MsoNormal&quot;&gt;&lt;strong&gt;&lt;span lang=&quot;EN-U
 S&quot;&gt;Biography&lt;/span&gt;&lt;/strong&gt;&lt;/p&gt;\n&lt;p class=&quot;MsoNormal&quot;&gt;&lt;span lang=&quot;EN-US&quot;&gt;
 Shunsuke Fukami is a Professor of the Research Institute of Electrical Com
 munication (RIEC)\, and the director of the Center for Science and Innovat
 ion in Spintronics (CSIS) of Tohoku University\, Japan. &amp;nbsp\;His areas o
 f expertise include spintronics physics/materials/devices and their applic
 ation to integrated circuits and novel-computing hardware.He received his 
 doctor degree in 2012 from Nagoya University. He joined NEC Corporation in
  2005 and moved to Tohoku University in 2011. Since 2020\, he has served a
 s a Full Professor at Tohoku University.&lt;/span&gt;&lt;span lang=&quot;EN-US&quot;&gt;&amp;nbsp\;&lt;
 /span&gt;&lt;/p&gt;\n&lt;p class=&quot;MsoNormal&quot;&gt;&lt;strong&gt;&lt;span lang=&quot;EN-US&quot;&gt;Abstract&lt;/span
 &gt;&lt;/strong&gt;&lt;/p&gt;\n&lt;p class=&quot;MsoNormal&quot;&gt;&lt;span lang=&quot;EN-US&quot;&gt;In this seminar\, 
 I will discuss two topics studied in Spintronics Laboratory at the Researc
 h Institute of Electrical Communication in Tohoku University. The first to
 pic is spintronics with noncollinear antiferromagnet. Noncollinear antifer
 romagnets\, represented by Mn3Sn\, show intriguing properties similar to f
 erromagnets such as the anomalous Hall effect\, despite vanishingly small 
 net magnetization. We achieved an epitaxial growth of both M-plane and C-p
 lane Mn3Sn thin film\, in which a chiral-spin structure in the Kagome plan
 e is oriented perpendicular or parallel to the film plane [1]. Using these
  stacks\, we have shown various interesting phenomena never seen in conven
 tional ferromagnets\, including persistent chiral-spin rotation [2\,3]\, q
 uantum-metric induced nonlinear Hall effect [4]\, and mutual switching [5]
 .&lt;/span&gt;&lt;/p&gt;\n&lt;p class=&quot;MsoNormal&quot;&gt;&lt;span lang=&quot;EN-US&quot;&gt;The second topic is 
 spintronics with probabilistic devices\, to be more specific\, stochastic 
 magnetic tunnel junctions (s-MTJs). Conventional computers made of CMOS ci
 rcuits are based on deterministic\, synchronous\, and directional operatio
 ns. While playing significant role in today&amp;rsquo\;s information society\,
  they have several types of problems that cannot be efficiently addressed.
  Probabilistic computers with probabilistic bits are expected to be promis
 ing to address such complex tasks. We have shown proof-of-concepts of prob
 abilistic computing with s-MTJs\, including combinatorial optimization [6]
 \, machine learning [7]\, and quantum simulation [8]\, and have also devel
 oped understanding and technologies to enhance the device properties [9-11
 ]. &lt;/span&gt;&lt;/p&gt;\n&lt;p class=&quot;MsoNormal&quot;&gt;&lt;span lang=&quot;EN-US&quot;&gt;The first and seco
 nd topics have been carried out in collaboration with Y. Takeuchi\, Y. Sat
 o\, Y. Yamane\, J. Han\, J.-Y. Yoon et al.\, and S. Kanai\, K. Hayakawa\, 
 K. Kobayashi\, W.A. Borders\, K. Camsari\, D. Datta et al.\, respectively 
 and both topics have been supervised by H. Ohno. These works have been par
 tly supported by JSPS Kakenhi\, MEXT X-NICS\, and JST-ASPIRE.&lt;/span&gt;&lt;/p&gt;\n
 &lt;p class=&quot;MsoNormal&quot;&gt;&lt;span lang=&quot;EN-US&quot;&gt;&amp;nbsp\;&lt;/span&gt;&lt;/p&gt;\n&lt;p class=&quot;MsoN
 ormal&quot;&gt;&lt;span lang=&quot;EN-US&quot;&gt;[1]&amp;nbsp\;&amp;nbsp\;&amp;nbsp\;&amp;nbsp\;&amp;nbsp\;&amp;nbsp\;&amp;nb
 sp\; J.-Y. Yoon et al\, Applied Physics Express 13\, 013001 (2020).&lt;/span&gt;
 &lt;/p&gt;\n&lt;p class=&quot;MsoNormal&quot;&gt;&lt;span lang=&quot;EN-US&quot;&gt;[2]&amp;nbsp\;&amp;nbsp\;&amp;nbsp\;&amp;nbs
 p\;&amp;nbsp\;&amp;nbsp\;&amp;nbsp\; Y. Takeuchi et al.\, Nature Materials 20\, 1364 (
 2021).&lt;/span&gt;&lt;/p&gt;\n&lt;p class=&quot;MsoNormal&quot;&gt;&lt;span lang=&quot;EN-US&quot;&gt;[3]&amp;nbsp\;&amp;nbsp
 \;&amp;nbsp\;&amp;nbsp\;&amp;nbsp\;&amp;nbsp\;&amp;nbsp\; Y. Takeuchi et al.\, Science 389\, 8
 30 (2025).&lt;/span&gt;&lt;/p&gt;\n&lt;p class=&quot;MsoNormal&quot;&gt;&lt;span lang=&quot;EN-US&quot;&gt;[4]&amp;nbsp\;&amp;
 nbsp\;&amp;nbsp\;&amp;nbsp\;&amp;nbsp\;&amp;nbsp\;&amp;nbsp\; J. Han et al.\, Nature Physics 2
 0\, 1110 (2024).&lt;/span&gt;&lt;/p&gt;\n&lt;p class=&quot;MsoNormal&quot;&gt;[5]&amp;nbsp\;&amp;nbsp\;&amp;nbsp\;
 &amp;nbsp\;&amp;nbsp\;&amp;nbsp\;&amp;nbsp\; J.-Y. Yoon et al.\, Nature Communications\, 1
 6\, 1171 (2025).&lt;/p&gt;\n&lt;p class=&quot;MsoNormal&quot;&gt;[6]&amp;nbsp\;&amp;nbsp\;&amp;nbsp\;&amp;nbsp\;
 &amp;nbsp\;&amp;nbsp\;&amp;nbsp\; W. A. Borders et al\, Nature 573\, 390-393 (2019).&lt;/
 p&gt;\n&lt;p class=&quot;MsoNormal&quot;&gt;[7]&amp;nbsp\;&amp;nbsp\;&amp;nbsp\;&amp;nbsp\;&amp;nbsp\;&amp;nbsp\;&amp;nbs
 p\; J. Kaiser et al.\, Physical Review Applied 17\, 014016 (2022).&lt;/p&gt;\n&lt;p
  class=&quot;MsoNormal&quot;&gt;[8]&amp;nbsp\;&amp;nbsp\;&amp;nbsp\;&amp;nbsp\;&amp;nbsp\;&amp;nbsp\;&amp;nbsp\; A.
  Grimaldi et al.\, IEDM 2022\; doi: 10.1109/IEDM45625.2022.10019530&lt;/p&gt;\n&lt;
 p class=&quot;MsoNormal&quot;&gt;[9]&amp;nbsp\;&amp;nbsp\;&amp;nbsp\;&amp;nbsp\;&amp;nbsp\;&amp;nbsp\;&amp;nbsp\; K
 . Hayakawa et al.\, Physical Review Letters 126\, 117202 (2021).&lt;/p&gt;\n&lt;p c
 lass=&quot;MsoNormal&quot;&gt;&lt;span lang=&quot;EN-US&quot;&gt;[10]&amp;nbsp\;&amp;nbsp\;&amp;nbsp\;&amp;nbsp\;&amp;nbsp\
 ;&amp;nbsp\; S. Kanai et al.\, Physical Review B 103\, 094423 (2021).&lt;/span&gt;&lt;/
 p&gt;\n&lt;p class=&quot;MsoNormal&quot;&gt;&lt;span lang=&quot;EN-US&quot;&gt;[11]&amp;nbsp\;&amp;nbsp\;&amp;nbsp\;&amp;nbsp
 \;&amp;nbsp\;&amp;nbsp\; K. Kobayashi et al.\, Physical Review Applied 18\, 054085
  (2022).&lt;/span&gt;&lt;/p&gt;\n&lt;p class=&quot;MsoNormal&quot;&gt;&lt;span lang=&quot;EN-US&quot;&gt;&amp;nbsp\;&lt;/span
 &gt;&lt;/p&gt;\n&lt;p class=&quot;MsoNormal&quot;&gt;&amp;nbsp\;&lt;/p&gt;
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