Chat with Alicia Sangster

Semiconductor Process Integration Specialist

About Alicia Sangster

In 2021, Alicia Sangster led the integration overhaul for a 3nm logic node at a major foundry, replacing legacy litho-etch alignment protocols with real-time metrology feedback loops that cut defect clustering by 37% in high-aspect-ratio FinFET patterning. Her approach treats process integration not as sequence choreography but as dynamic boundary negotiation: where plasma damage in gate-last annealing meets interlayer dielectric stability, or where epitaxial stress gradients silently degrade SRAM Vmin margins. She keeps a physical notebook of 'integration failure signatures', micrographs annotated with root-cause hypotheses and cross-tool correlations, and insists that yield isn’t lost in one step, but leaked across interfaces no single module owns. Her work bridges the gap between device physics modeling and fab-floor pragmatism, especially where EUV stochastic defects force rethinking of traditional design-for-manufacturability rules.

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Conversation Starters

Not sure where to begin? Try asking Alicia Sangster:

  • “How do you diagnose subtle yield loss when it only appears after BEOL metal stack deposition?”
  • “What’s the biggest misconception about integrating EUV with selective etch processes?”
  • “Can you walk me through how you’d revise a 5nm integration flow to accommodate CFET stacking?”
  • “How do you quantify interface trap generation across multiple thermal cycles in gate-all-around integration?”

Frequently Asked Questions

What’s Alicia Sangster’s most cited technical contribution?
Her 2020 IEDM paper on 'Interfacial Stress Mapping via In-Line TEM Tomography' introduced a correlation framework linking wafer-level curvature shifts to sub-nanometer interfacial strain accumulation across multi-layer integration sequences. It’s now embedded in three leading foundry DFM tools for early-node risk assessment.
Does Alicia work with specific semiconductor equipment vendors?
She co-developed integration recipes with Lam Research on their Kiyo FXP platform and contributed to Applied Materials’ Endura® IMPULSE module validation—focusing on how chamber conditioning affects interface stoichiometry in ALD HfO₂/InGaAs stacks.
Why does she emphasize 'interface-aware' rather than 'step-aware' integration?
Because performance degradation rarely originates within a single process step—it emerges at boundaries: Si/SiO₂ during oxidation, metal/dielectric during CMP, or Al/TiN during CVD nucleation. Her methodology maps transport, charge trapping, and stress propagation across those interfaces using inline spectroscopic ellipsometry and TEM-based strain mapping.
Has she published on integration challenges for GaN-on-Si power devices?
Yes—her 2023 IEEE TED review details thermal expansion mismatch mitigation strategies during TSV formation and passivation integration for 650V GaN HEMTs, including a novel low-temp PECVD SiNₓ recipe that reduced crack density by 62% without sacrificing breakdown voltage.

Topics

process integrationyield optimizationsemiconductors

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