University of Zimbabwe
Dept of Space Science and Applied Physics
Overcoming Graphene’s Transistor Fidelity Gap :
From Lab Breakthroughs to Market Realities
Presenter: Kanyai TT
BY KANYA TT(Msc APPLIED PHYSICS)
Objectives
 Evaluate synthesis methods for transistor-grade graphene.
 Quantify defect impacts on mobility and on/off ratios.
 Propose bandgap engineering strategies for digital logic.
 Develop a cost-scaling roadmap for industrial adoption.
Introduction
Why Graphene?
Properties
Strength: 200x steel
• Conductivity: 10⁶ S/cm
• Flexibility: <1% strain resistance.
Applications
Flexible displays (Samsung prototype)
Ultra-fast transistors (IBM),
solid-state batteries (Nanotech Energy).
Key Challenge
Bandgap absence and transfer defects limit transistor switching fidelity.
Literature Review
Timeline of Innovations (2020–2025)
• 2022: CVD scalability improved (wafer-scale growth, 80% yield).
• 2023: Laser lift-off (GLLO) reduces transfer residues by 90%.
• 2024: Hybrid Sb₂O₃ dielectric integration enhances interface quality.
• 2025: Biomass-derived graphene enters sports equipment market (50% cost
reduction).
Methodology
Literature review: analysed 120 papers(2018-2023)
Defect modelling: bult a Python Monte Carlo simulation
Cost analysis: developed a bottom up CVD scaling model
Synthesis Techniques
TECHNIQUE
CVD
Growth
Laser Lift-
Off
Biomass
Conversion
Synthesis Techniques: Pros and Cons
Method ✅ Pros ❌ Cons
CVD Growth High purity, scalable Slow, expensive
Laser Lift-Off Low residue, thin films Precision alignment needed |
Biomass Conversion Eco-friendly, cheap Low conductivity |
Why this Research Matters
Defect impact
• Simulation show 0.1% vacancies which implies 50% reduction in
mobility
Cost projection
• Model 300mm wafer costs will drop to $500 2030 if CVD yield
improves by 65%
Thermal limit
• COMSOL analysis found graphene transistors overheat at 1mA/μm
Defects characterisation
Atomic vacancies (reduces mobilty)
PMMA residues ( reduces contact resistance)
Edge roughness
Key Tools: Raman( D/G<0.1)
Conductive AFM: Maps current leaks
Bandgap Solutions
Bilayer graphene: 250 meV gap , 70% mobility
Hybrid stacks (graphene/MoS2)
Applications
RF electronics(100 GHz transistors)
Biosensors(single molecule detection)
Batteries:2,200mAh capacity
Budget
Component Current cost 2030 target
CVD growth $8,000 $1,200
hBN Encapsulation $12,00 $2,500
Conclusion
Graphene’s success hinges on defect-free transfer and bandgap
engineering
 Bandgap-mobility trade-off is unavoidable
Hetero-stacks are most viable
Recommendations
Industry: Adopt graphine–SiC by 2026
Researchers: Laser-annealed CVD
Standardize metrics (defect density < 0.1%).
References
Lee, J. et al. (2024). GLLO for Ultrathin Devices. Nature Electronics.
Graphenea. (2025). Market Barriers Report
IndustryARC. (2025). Graphene Market Forecast.

Kanyai Tapiwa T. graphene Presentation .pptx

  • 1.
    University of Zimbabwe Deptof Space Science and Applied Physics Overcoming Graphene’s Transistor Fidelity Gap : From Lab Breakthroughs to Market Realities Presenter: Kanyai TT BY KANYA TT(Msc APPLIED PHYSICS)
  • 2.
    Objectives  Evaluate synthesismethods for transistor-grade graphene.  Quantify defect impacts on mobility and on/off ratios.  Propose bandgap engineering strategies for digital logic.  Develop a cost-scaling roadmap for industrial adoption.
  • 3.
    Introduction Why Graphene? Properties Strength: 200xsteel • Conductivity: 10⁶ S/cm • Flexibility: <1% strain resistance. Applications Flexible displays (Samsung prototype) Ultra-fast transistors (IBM), solid-state batteries (Nanotech Energy). Key Challenge Bandgap absence and transfer defects limit transistor switching fidelity.
  • 4.
    Literature Review Timeline ofInnovations (2020–2025) • 2022: CVD scalability improved (wafer-scale growth, 80% yield). • 2023: Laser lift-off (GLLO) reduces transfer residues by 90%. • 2024: Hybrid Sb₂O₃ dielectric integration enhances interface quality. • 2025: Biomass-derived graphene enters sports equipment market (50% cost reduction).
  • 5.
    Methodology Literature review: analysed120 papers(2018-2023) Defect modelling: bult a Python Monte Carlo simulation Cost analysis: developed a bottom up CVD scaling model
  • 6.
  • 7.
    Synthesis Techniques: Prosand Cons Method ✅ Pros ❌ Cons CVD Growth High purity, scalable Slow, expensive Laser Lift-Off Low residue, thin films Precision alignment needed | Biomass Conversion Eco-friendly, cheap Low conductivity |
  • 8.
    Why this ResearchMatters Defect impact • Simulation show 0.1% vacancies which implies 50% reduction in mobility Cost projection • Model 300mm wafer costs will drop to $500 2030 if CVD yield improves by 65% Thermal limit • COMSOL analysis found graphene transistors overheat at 1mA/μm
  • 9.
    Defects characterisation Atomic vacancies(reduces mobilty) PMMA residues ( reduces contact resistance) Edge roughness Key Tools: Raman( D/G<0.1) Conductive AFM: Maps current leaks
  • 10.
    Bandgap Solutions Bilayer graphene:250 meV gap , 70% mobility Hybrid stacks (graphene/MoS2)
  • 11.
    Applications RF electronics(100 GHztransistors) Biosensors(single molecule detection) Batteries:2,200mAh capacity
  • 12.
    Budget Component Current cost2030 target CVD growth $8,000 $1,200 hBN Encapsulation $12,00 $2,500
  • 13.
    Conclusion Graphene’s success hingeson defect-free transfer and bandgap engineering  Bandgap-mobility trade-off is unavoidable Hetero-stacks are most viable
  • 14.
    Recommendations Industry: Adopt graphine–SiCby 2026 Researchers: Laser-annealed CVD Standardize metrics (defect density < 0.1%).
  • 15.
    References Lee, J. etal. (2024). GLLO for Ultrathin Devices. Nature Electronics. Graphenea. (2025). Market Barriers Report IndustryARC. (2025). Graphene Market Forecast.