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  <titleInfo>
    <title>Design of optimal nanoscale channel dimensions of finfet based on constituent semiconductor materials</title>
  </titleInfo>
  <name type="personal">
    <namePart>Ahmed Mahmood Ali</namePart>
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    <dateIssued encoding="marc">2019</dateIssued>
    <copyrightDate encoding="marc">2019</copyrightDate>
    <issuance>monographic</issuance>
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  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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  <physicalDescription>
    <extent>xiv, 104 pages : illustrations ; 30 cm. + 1 CD-ROM</extent>
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  <abstract>Nano-electronic applications have benefited enormously from the great advancement in  the  emerging  Nano-technology  industry.  The  tremendous  downscaling  of  the  transistors’ dimensions has enabled the placement of over 100 million transistors on a  single  chip  thus  reduced  cost,  increased  functionality  and  enhanced  performance  of  integrated circuits (ICs). However,  reducing  size of the conventional planar transistors  would be exceptionally challenging due to leakages electrostatics and other fabrication  issues. Fin Field Effect Transistor (FinFET) shows a great potential in scalability and  manufacturability  as  a  promising  candidate  in  nanoscale  complementary  metal-oxidesemiconductor  (CMOS)  technologies.  The  structure  of  FinFET  provides  superior  electrical control over the channel conduction,  thus it has attracted widespread interest  from researchers in both academia and industry. However, aggressively scaling down of  channel  dimensions,  mainly  the  channel  length,  will  degrade  the  overall  performance  due  to  detrimental  short  channel  effects  (SCEs).  The  aim  of  this  study  is  to  design  optimal  Nano-dimensional  channel  of  FinFET  based  on  electrical  characteristics  and  semiconductor material  (Si GaAs Ge and InAs)  to overcome dimensions shrunk down  issues and  ensure the best performance  of FinFETs.  This was achieved by proposing a  new scaling factor, K, to simultaneously shrinking the physical scaling limits of channel dimensions  for  various  FinFETs  without  degrading  their  performance.  A  simulationbased comprehensive comparative study  depending  on  FOUR  (4) variable parameters:  length,  width and  oxide thickness of channel  in addition  to scaling factor  were  carried  out.  The  impact  of  changing  channel  dimensions  on  the  performance  of  each  type  of  FinFETs was evaluated  base  on FOUR (4) electrical characteristics namely; (i) ION/IOFF ratio (ii) Subthreshold Swing (SS), (iii)  Threshold voltage (VT),  and  (iv)  Drain-induced  barrier  lowering  (DIBL).  The  well-known  MuGFET  simulation  tool  for  nano-scale  multi-gate  FET  structure  is  utilized  to  conduct  experimental  simulations  under  the  considered conditions.  The obtained simulation results showed that the optimal channel  dimensions  for  best  performance  of  all  considered  FinFETs  types  were  achieved  at  a  minimal scaling factor  K  = 0.125  with 5 nm length, 2.5 nm width and 0.625 nm oxide  thickness of channel. Furthermore,  Si-FinFET achieved the highest  ION/IOFF  ratio (up to  2.12  ×  10 8 )  and  outperformed  GaAs-FinFET,  and  both  maintained  a  superior  performance in terms of ION/IOFF  ratio and SS value compared to the other two types of  FinFETs. In contrast, the Ge-FinFET performance was degraded and reached the lowest  ION/IOFF  ratio  (2.29  ×  10 5 ),  whereas the worst characteristics in terms of SS value (94  mV/dec) occurred with InAs-FinFET.  The obtained results introduced new limits with  enhancing  FinFETs  performance  in  terms  of  the  investigated  characteristics.  The  outcomes  of  this  research  contribute  towards  new  channel  nano  scaling  limits  of  FinFETs  as  potential  successors  to  planar  transistors  in  nanoscale  devices  and  nanotechnology  applications,  and  further  analysing  the  electrical  characteristics  of  FinFETs with reducing leakage current and overcoming SCEs.</abstract>
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  <note type="statement of responsibility">Ahmed Mahmood Ali</note>
  <note>Faculty of Engineering Technology</note>
  <note>Thesis (Master of Science ) -- Universiti Malaysia Pahang – 2019</note>
  <note>Includes bibliographical references</note>
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      <namePart>Faculty of Engineering Technology</namePart>
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    <topic>Dissertations</topic>
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    <topic>Universities and Colleges</topic>
    <topic>Dissertations</topic>
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  <subject authority="lcsh">
    <topic>Theses</topic>
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  <identifier type="isbn">THE0008883(Local)</identifier>
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    <recordCreationDate encoding="marc">201117</recordCreationDate>
    <recordChangeDate encoding="iso8601">20251125105813.0</recordChangeDate>
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      <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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