Driving Transistor Customization for the AI Era with Trillium ALD

Apr 23, 2026
By Zhebo Chen 

Endura Trillium ALD

As AI drives demand for greater compute, a leading‑edge chip now in development can integrate over 300 billion transistors into an area little larger than a postage stamp. Success increasingly hinges on deploying the right transistors in the right places. That level of on‑chip customization demands extraordinary control over transistor materials, executed consistently across billions of devices. 

As the industry transitions to Gate‑All‑Around (GAA) transistors—advanced 3D architectures that deliver higher logic density and better performance than FinFET transistors—that need for precision only intensifies. This is where Applied Materials plays a critical role. The Endura™ Trillium™ ALD system enables chipmakers to precisely tailor key materials in GAA transistors—tuning behavior for different workloads without compromising leading-edge manufacturability.
 

Why transistor customization is essential 

There is no one‑size‑fits‑all transistor. Some are optimized to switch extremely fast for maximum performance, while others are designed to minimize power draw when idle. Designers manage the trade-off by tuning threshold voltage (Vt)—the transistor’s turn‑on point, or the amount of electrical push required before current begins to flow.

AI

By mixing these different “flavors” across a chip, designers can create systems that strike the targeted balance between performance and energy efficiency.

  • Higher-Vt transistors are harder to turn on but leak less current when off, improving energy efficiency. Mobile chips typically use a higher share of them to reduce standby power and extend battery life. 
  • Lower-Vt transistors turn on more easily and switch faster, boosting performance but at the expense of higher leakage power. AI accelerators and data‑center processors use more of them in compute‑critical paths, while placing higher‑Vt devices elsewhere to keep power in check.


Flexibility through gate‑stack engineering

As chips incorporate a wider mix of tailored transistor types, precise Vt control becomes a crucial differentiator. In GAA transistors, Vt is set by the gate, which wraps around the nanosheet channels and regulates current flow.

Gate Stack Engineering

The gate is in fact a carefully engineered gate stack that includes multiple metal layers, whose electrical properties define the transistor’s Vt. As such, precise control of the composition and placement of these metals is essential. Trillium ALD was architected for exactly this challenge. The system supports integrated, multi‑step metal deposition, letting manufacturers combine different metals with distinct electrical characteristics into custom gate stacks for GAA transistors. They can then dial in the exact Vt needed for a given transistor and end application. 

Furthermore, Trillium can deposit volume‑less dipole layers within the gate stack. These ultra‑thin films introduce a small built‑in electric field that can shift the transistor’s Vt. Designers thus get another lever to favor power efficiency or high performance, without changing device geometry or compromising channel quality.
 

Reliability for advanced 3D transistor structures

At advanced nodes, even perfectly tuned materials fall short if they aren’t deposited uniformly across complex 3D features. To meet these exacting demands, Trillium uses atomic layer deposition (ALD) to form highly uniform, nanoscale films—delivering angstrom‑level precision and repeatability in gate‑stack metals, layer after layer and device after device.

Trillium ALD

These capabilities were proven during earlier 3D inflections, including the industry’s transition to FinFETs, where uniform, conformal gate coverage became essential. GAA transistors introduce new space constraints: as many as five gate stack layers are packed into the ~10nm space—about 1/10,000th the width of a human hair—between silicon nanosheets. To meet the extreme confines of the GAA era, Trillium adds advanced capabilities such as metal‑layer thickness scaling and volume-less dipole films.

GAA Transistor

As tolerances tighten, process integration becomes just as critical as deposition behavior. Trillium chambers are part of an Endura™ Integrated Materials Solution™ (IMS) platform that executes sequential deposition, clean and treatment steps in a high-vacuum environment. The IMS system protects the wafer from cleanroom contamination and preserves critical material interfaces as process windows narrow. Endura’s range of cleaning and treatment technologies further enhances device performance, yield and consistency as advanced 3D transistor architectures scale. 

In addition, Trillium is co‑optimized with advanced eBeam metrology using non‑destructive X‑ray analysis. This creates rapid, tight feedback loops between deposition behavior and gate metal composition—without disturbing fragile current channels. For customers, this co‑optimization accelerates process development, reduces variability and ensures consistent gate stack performance.
 

Scaling with the transistor roadmap

Transistor Roadmap

The future of computing depends on producing the right transistor for every job, reliably and at scale. Looking ahead to architectures like CFET, which push 3D integration even further, atomic‑level control of gate‑stack materials will become even more valuable. Applied Materials will continue to innovate with Trillium™ ALD and deliver the precision and flexibility needed to make this future possible.

Learn more about Trillium ALD and other leadership technologies in Applied’s portfolio by watching the recap of our 2026 Logic Master Class.

Zhebo Chen

Global Product Manager, Atomic Layer Deposition (ALD) & Metal Deposition Products (MDP) 

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Zhebo Chen is the head of product management for the ALD & MDP business units at Applied Materials, supporting a wide spectrum of deposition technologies including ALD, CVD & PVD. Zhebo holds a bachelor’s degree in Chemical Engineering from the University of Illinois at Urbana-Champaign and a Ph.D. in Chemical Engineering from Stanford University.