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IBM and Siemens collaborate to advance 3D nanostack technology

IBM and Siemens collaborate to advance 3D nanostack technology

Key Takeaways

  • IBM and Siemens have teamed up to accelerate the commercial‑ready development of IBM’s 3‑D nanostack transistor architecture.
  • Nanostack stacks nanosheet transistors vertically, delivering ≈100 billion transistors in an area comparable to a fingernail at the 7 Å (0.7 nm) node.
  • The partnership leverages Siemens’ EDA, lithography‑optimization, and process‑simulation tools to create virtual models that predict performance and manufacturability before silicon is fabricated.
  • By enabling heterogeneous material stacks, nanostack promises higher performance per watt and new scaling pathways for SRAM and logic blocks.

Introduction: Why a New Transistor Paradigm Matters

The semiconductor industry is approaching the physical limits of planar transistor scaling. Conventional FinFETs are nearing a point where further reductions in gate length yield diminishing returns in speed and power efficiency. IBM’s nanostack concept—first disclosed in early 2024—offers a three‑dimensional (3‑D) alternative that re‑thinks how transistors are packed and powered.

What Is Nanostack?

Architecture Overview

  • Vertical stacking: Multiple nanosheet layers are stacked and staggered, allowing each layer to host its own set of transistors.
  • Material heterogeneity: Different semiconductor or dielectric materials can be assigned to each layer, letting designers tune threshold voltage, mobility, and leakage independently.
  • Density advantage: At the 7 Å node, a nanostack‑based die can host ≈100 × 10⁹ transistors in a footprint roughly the size of a human fingernail (≈1 mm²).

Performance Implications

  • Energy efficiency: Early simulations suggest up to 30 % lower energy per operation versus state‑of‑the‑art FinFETs at the same node.
  • SRAM scaling: The 3‑D layout enables tighter cell placement, potentially halving SRAM area while maintaining stability.

The IBM‑Siemens Collaboration

Aspect IBM Contribution Siemens Contribution
Core expertise Semiconductor device innovation; nanostack architecture definition Electronic Design Automation (EDA); lithography and process simulation
Toolset focus Physical device modeling, material stack design Virtual prototyping, design‑rule generation, mask‑optimization
Goal Validate nanostack physics and define manufacturing windows Accelerate design‑to‑silicon cycles, reduce mask‑count, predict yield
Timeline Proof‑of‑concept demonstrated Q1 2024 Advanced virtual models to be delivered by Q4 2024

The joint effort targets design‑simulation‑fabrication loops that close before a physical wafer is processed. Siemens’ SILVACO suite will be extended to handle the multi‑material, multi‑layer physics of nanostack, while IBM supplies empirical data from its test structures.

From Lab to Fab: Remaining Challenges

  1. Lithography precision – Stacking nanosheets at 7 Å requires sub‑10 nm overlay accuracy; Siemens’ lithography‑optimization algorithms aim to meet this tolerance.
  2. Thermal management – Vertical integration can trap heat; the partnership is exploring thermal‑conductive interlayer materials (e.g., graphene‑based heat spreaders).
  3. Yield modeling – Virtual defect‑propagation models will predict how process variations affect each layer’s electrical characteristics.

Comparison: Nanostack vs. Traditional FinFET (7 Å Node)

Metric FinFET (7 Å) Nanostack (7 Å)
Transistor density ~30 billion/mm² ~100 billion/mm²
Energy per operation 1.0 fJ (baseline) 0.7 fJ (‑30 %)
SRAM cell area 0.07 µm² 0.035 µm²
Mask count ~30 masks ~22 masks (due to 3‑D integration)
Projected fab cost increase – +12 % (offset by higher chip functionality)

Outlook: Toward Production‑Ready Nanostack

IBM plans to fabricate a pilot‑run chip using the refined nanostack design by mid‑2025, with Siemens providing the full suite of virtual verification tools. If successful, the technology could become the foundation for sub‑5 nm logic nodes and enable new classes of AI accelerators and high‑performance computing (HPC) processors.

Bottom Line

The IBM‑Siemens alliance tackles the most pressing bottlenecks in advanced semiconductor scaling by marrying IBM’s breakthrough 3‑D nanostack architecture with Siemens’ sophisticated EDA and lithography simulation capabilities. By delivering accurate virtual prototypes and optimized manufacturing flows, the partnership aims to shrink development cycles, cut mask costs, and bring a transistor density that eclipses current FinFETs into volume production. If the roadmap holds, nanostack could redefine the performance‑per‑watt ceiling for next‑generation chips, positioning both firms at the forefront of the post‑Moore era.

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