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DESCRIPTION:The emergence of embedded magnetic random-access memory (MRAM) 
 provides an unprecedented opportunity to develop unconventional computing 
 architectures\, which go far beyond using MRAM as a mere replacement for e
 xisting memory solutions (e.g.\, embedded Flash or SRAM).\n\nThis talk wil
 l consist of two parts: First\, we review the current state of development
  of ferromagnet-based MRAM\, which uses current-induced spin-transfer torq
 ue (STT) to switch the magnetic state. We then discuss how emerging device
  concepts based on new physics and new materials may enable significant ad
 vances beyond today’s STT-MRAM: (i) As an example of new physics\, we di
 scuss electric-field-controlled MRAM devices that utilize the voltage-cont
 rolled magnetic anisotropy (VCMA) effect for switching\, and present recen
 t results on developing the first VCMA-MRAM devices with sub-1V write volt
 age [1]. (ii) As an example of new materials\, we then examine devices bas
 ed on antiferromagnetic (AFM) materials\, which may offer advantages such 
 as picosecond switching\, improved scalability\, and immunity to external 
 magnetic fields. We review recent progress in manipulating the Néel vecto
 r of such materials by current-induced spin-orbit torque (SOT) [2-4] and d
 iscuss perspectives for their further development.\n\nSecond\, we will dis
 cuss how appropriately designed stochastic MRAM cells with low retention t
 ime can be used to fulfill unconventional roles within a computing system\
 , notably as electrically controlled stochastic bitstream (SBS) generators
 . We then discuss the application of such MRAM-based SBS generators to tru
 e random number generation and stochastic computing (SC) and present our r
 ecent results on the implementation of an SC-based artificial neural netwo
 rk using a series of stochastic MRAM cells [5]. We then show examples of h
 ow a network of stochastic MRAM bits with appropriately designed control/r
 eadout circuitry – referred to as probabilistic (p-) bits – can be use
 d to solve difficult optimization problems.\n\nCo-sponsored by: Virginia C
 ommonwealth University\, Department of Mechanical and Nuclear Engineering 
 \n\nSpeaker(s): Dr. Pedram Khalili\, \n\nRoom: E3229\, Bldg: East Engineer
 ing Building \, 401 W Main Street\, Mechanical and Nuclear Engineer\, Rich
 mond\, Virginia\, United States\, 23284
LOCATION:Room: E3229\, Bldg: East Engineering Building \, 401 W Main Street
 \, Mechanical and Nuclear Engineer\, Richmond\, Virginia\, United States\,
  23284
ORGANIZER:rhadimani@vcu.edu
SEQUENCE:2
SUMMARY:Unconventional computing with electric-field- controlled and antife
 rromagnetic spintronic devices
URL;VALUE=URI:https://events.vtools.ieee.org/m/353898
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;The emergence of embedded magnetic random-
 access memory (MRAM) provides an unprecedented opportunity to develop unco
 nventional computing architectures\, which go far beyond using MRAM as a m
 ere replacement for existing memory solutions (e.g.\, embedded Flash or SR
 AM).&lt;/p&gt;\n&lt;p&gt;This talk will consist of two parts: First\, we review the cu
 rrent state of development of ferromagnet-based MRAM\, which uses current-
 induced spin-transfer torque (STT) to switch the magnetic state. We then d
 iscuss how emerging device concepts based on new physics and new materials
  may enable significant advances beyond today&amp;rsquo\;s STT-MRAM: (i) As an
  example of new physics\, we discuss electric-field-controlled MRAM device
 s that utilize the voltage-controlled magnetic anisotropy (VCMA) effect fo
 r switching\, and present recent results on developing the first VCMA-MRAM
  devices with sub-1V write voltage [1]. (ii) As an example of new material
 s\, we then examine devices based on antiferromagnetic (AFM) materials\, w
 hich may offer advantages such as picosecond switching\, improved scalabil
 ity\, and immunity to external magnetic fields. We review recent progress 
 in manipulating the N&amp;eacute\;el vector of such materials by current-induc
 ed spin-orbit torque (SOT) [2-4] and discuss perspectives for their furthe
 r development.&lt;/p&gt;\n&lt;p&gt;&amp;nbsp\;&lt;/p&gt;\n&lt;p&gt;Second\, we will discuss how approp
 riately designed stochastic MRAM cells with low retention time can be used
  to fulfill unconventional roles within a computing system\, notably as el
 ectrically controlled stochastic bitstream (SBS) generators. We then discu
 ss the application of such MRAM-based SBS generators to true random number
  generation and stochastic computing (SC) and present our recent results o
 n the implementation of an SC-based artificial neural network using a seri
 es of stochastic MRAM cells [5]. We then show examples of how a network of
  stochastic MRAM bits with appropriately designed control/readout circuitr
 y &amp;ndash\; referred to as probabilistic (p-) bits &amp;ndash\; can be used to 
 solve difficult optimization problems.&lt;/p&gt;
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