The following article explores the monumental engineering and physics achievements required to manufacture 3-nanometer semiconductors.
The Angstrom Era: Engineering at the Edge of Possibility
If you were to pluck a single strand of DNA from your body and view it in cross-section, it would measure approximately 2.5 nanometers wide. Today, humanity’s most advanced foundries are printing logic switches—transistors—that rival this biological fundamental. We have arrived at the 3-nanometer (3nm) node, a frontier where the comfortable laws of classical physics dissolve, replaced by the probabilistic and chaotic rules of the quantum realm.
The transition to 3nm is not merely "the next step" in Moore’s Law; it is a violent rupture from the manufacturing methods of the past two decades. It marks the end of the FinFET era and the birth of the Gate-All-Around (GAA) architecture. It is a world where light is created by vaporizing molten tin with lasers, where layers of material are deposited one atom at a time, and where the error margin is zero.
This is the story of how we tricked rocks into thinking, even as they shrank to the size of invisible dust.
I. The Physics Barrier: When Electrons Stop Behaving
To understand why 3nm is such a colossal achievement, one must first understand the enemy:
Quantum Tunneling.For fifty years, shrinking a transistor was a matter of geometry. You made the channel (the bridge electrons cross) smaller, and the gate (the tollbooth that stops them) thinner. But at 3nm, the insulating barriers meant to stop electrons are only a few dozen atoms thick. In the classical world, if you throw a ball at a thick steel wall, it bounces back. In the quantum world, if the wall is thin enough, the ball has a non-zero probability of simply
appearing on the other side, having never passed through the space in between.At the 3nm scale, electrons begin to "tunnel" through the transistor’s logic gates even when the transistor is turned off. This phenomenon, known as leakage current, transforms a chip from a precise calculator into a hot, power-draining resistor. A chip made of leaky transistors would drain a smartphone battery in minutes and melt its own casing.
The Short-Channel Nightmare
Simultaneously, engineers face Short Channel Effects (SCE). As the distance between the Source (entry) and Drain (exit) shrinks, the Gate struggles to pinch off the flow of electricity. The electric field from the Drain starts to interfere with the Source, lowering the energy barrier and allowing electrons to slip through uncontrolled. This loss of electrostatic control is the "death of the switch." If a transistor cannot firmly switch off, it is useless for binary logic (0s and 1s).
To conquer 3nm, we couldn't just make the old transistors smaller. We had to reinvent the shape of the transistor entirely.
II. The Architecture: The Rise of the Nanosheet
Since 2011, the industry relied on the FinFET (Fin Field-Effect Transistor). Imagine a shark fin sticking up from a silicon sea. The Gate draped over the fin, covering it on three sides (left, right, top). This three-sided control was enough to squash leakage down to the 5nm node. But at 3nm, the "bottom" of the fin was still leaking current. The shark fin had to go.
Enter the GAAFET (Gate-All-Around Field-Effect Transistor), known commercially by various names:
- Samsung: MBCFET (Multi-Bridge-Channel FET)
- Intel: RibbonFET
- TSMC: Nanosheet Transistors
In this architecture, the vertical fin is turned on its side and sliced into horizontal ribbons or "nanosheets" stacked on top of one another. The Gate material now completely surrounds each ribbon—360 degrees of control. It is akin to tightening a fist around a water hose rather than just stepping on it.
This geometry grants ultimate electrostatic control. By maximizing the surface area between the Gate and the Channel, engineers can shut off the flow of electrons with absolute authority, even at the atomic scale. Furthermore, by adjusting the width of these nanosheets, designers can trade power for performance: wider sheets for high-performance cores, narrower sheets for low-power efficiency—all on the same chip.
III. The Manufacturing Miracle: Painting with X-Rays
Designing the GAAFET is one thing; building it is another. A modern 3nm chip contains billions of transistors (the Apple A17 Pro, a 3nm-class chip, holds 19 billion). Creating these structures requires the most complex machine ever built by human hands: the Extreme Ultraviolet (EUV) Lithography Scanner.
The Light That Shouldn't Exist
Standard light is too "blunt" to carve 3nm features. We need light with a wavelength of 13.5 nanometers—Extreme Ultraviolet. But 13.5nm light is absorbed by almost everything, including air and glass. It cannot be generated by a lightbulb.
To make EUV light, a machine (manufactured solely by ASML in the Netherlands) fires a high-power carbon dioxide laser at a droplet of molten tin falling through a vacuum chamber. The laser strikes the tin droplet twice: the first pulse flattens it into a pancake, and the second pulse vaporizes it into plasma hotter than the surface of the sun. This plasma emits a faint flash of EUV light.
This process must happen 50,000 times per second.
The light is then collected not by lenses (which would absorb it) but by a series of the flattest mirrors ever made. These mirrors are polished to such precision that if they were scaled to the size of the Earth, the highest mountain would be less than the height of a human hair. The light bounces through this optical system and projects the blueprint of the chip onto the silicon wafer.
Atomic Layer Deposition (ALD)
Once the pattern is printed, we must build the materials. We can no longer "pour" materials onto the wafer. We use Atomic Layer Deposition (ALD).
In ALD, chemical precursors are introduced to the chamber in pulses. Precursor A floods the chamber and reacts with the surface, leaving exactly
one monolayer of atoms. The excess is purged. Then Precursor B is introduced, reacting with the first layer to create the desired material (like hafnium oxide for the gate dielectric). This cycle is repeated hundreds of times to build up a layer only a few nanometers thick, with perfect uniformity and zero pinholes.IV. The Power Delivery Paradox
At 3nm, the transistors are so small and packed so densely that feeding them electricity becomes a nightmare. Traditionally, chips are built like a pizza: the transistors (toppings) are on the bottom, and the wiring layers (crust) are built on top. The power has to travel from the top of the chip, down through 15-20 layers of signal wiring, to reach the transistors at the bottom.
As wires shrink, their resistance increases (a phenomenon known as IR Drop). Pushing power through this labyrinth generates heat and wastes energy.
The solution for the 3nm era and beyond is Backside Power Delivery (BSPDN).
- Intel's PowerVia / TSMC’s Super Power Rail: This technique flips the script. Signal wires remain on the "front" (top) of the wafer, but all power wires are moved to the "back" (bottom).
- The wafer is flipped over, ground down until it is vanishingly thin, and power rails are connected directly to the source/drain of the transistors from underneath.
This "sandwich" approach solves two problems: it reduces resistance (cleaner power delivery) and frees up space on the front side for more complex signal routing, allowing for denser logic.
V. The Titans of the Angstrom Age
Only three companies in the world operate at the bleeding edge of this technology.
1. TSMC (Taiwan Semiconductor Manufacturing Company)The undisputed king of the foundry model. TSMC’s N3 (and its enhanced families N3E, N3P) is the current gold standard. While they were conservative, sticking to FinFETs for their first 3nm iteration (N3B) before fully transitioning to Nanosheets in later revisions (2nm), their yield rates are the envy of the industry. They supply the brains for Apple, NVIDIA, and AMD.
2. Samsung ElectronicsThe risk-taker. Samsung was the first to commercially launch GAAFET technology (branded as MBCFET) at the 3nm node. While they beat TSMC to the starting line with the architecture, they have faced challenges in yield—the percentage of functional chips per wafer. However, their early experience with GAA provides valuable data for the upcoming 2nm battle.
3. IntelThe sleeping giant awakening. After stumbling at 10nm and 7nm, Intel has aggressively pursued "5 nodes in 4 years." Their equivalent 3nm technology (branded Intel 3) is a refined FinFET node, but their move to Intel 20A (2nm class) introduces RibbonFET (their GAA) and PowerVia (backside power) simultaneously. It is a high-stakes gamble to leapfrog the competition.
VI. Why It Matters: The Application Landscape
Why go to this trouble? Why spend $20 billion on a single Fab?
- Artificial Intelligence: Training Large Language Models (LLMs) like GPT-4 requires massive parallel processing. 3nm chips allow NVIDIA and others to pack more cores into the same thermal envelope, drastically cutting the energy cost per token generated.
- Mobile Efficiency: For consumers, 3nm means smartphones that run cooler and last longer. The jump from 5nm to 3nm offers roughly a 30-35% reduction in power consumption at the same speed.
- High-Performance Computing (HPC): Supercomputers simulating climate change or protein folding rely on memory bandwidth and logic density. 3nm enables tighter integration of memory and logic (Chiplets), reducing latency.
VII. Beyond the Horizon: 2nm, 1.4nm, and the End of Silicon
As we stabilize 3nm, the roadmap extends to 2nm (2025-2026) and 1.4nm (2027+). But the walls are closing in.
- High-NA EUV: To print 2nm, we need High-Numerical Aperture EUV machines (the ASML EXE:5000), which feature bigger mirrors to capture more light, increasing resolution. These machines cost nearly $400 million roughly the price of a customized Airbus A350.
- New Materials: Silicon is running out of steam. Electrons move too slowly through silicon at these scales. The industry is looking at 2D materials (like Transition Metal Dichalcogenides - TMDs) or Carbon Nanotubes which offer superior mobility and are atomically thin by nature.
- 3D Stacking: If we can't shrink
Conclusion
The 3-nanometer transistor is a testament to the "unreasonable effectiveness" of human collaboration. It requires the purity of materials found only in vacuums, the precision of lasers stabilized by diamonds, and the global supply chain of thousands of specialized companies.
We are no longer just "manufacturing" in the industrial sense; we are manipulating the probability waves of the universe to process information. We have reached the atomic limit, and rather than stopping, we have decided to engineer our way through it.
Reference:
- https://eureka.patsnap.com/report-finfet-vs-gaafet-performance-comparison-in-nanometer-nodes
- https://en.wikipedia.org/wiki/3_nm_process
- https://www.jpier.org/ac_api/download.php?id=22041202
- https://scispace.com/papers/comparative-analysis-of-tg-finfet-and-gaa-finfet-in-3-nm-1mfo0ljr
- https://www.imec-int.com/en/articles/high-na-euvl-next-major-step-lithography
- https://eureka.patsnap.com/report-why-euv-lithography-is-critical-for-future-semiconductor-devices
- https://www.imec-int.com/en/articles/how-power-chips-backside
- https://www.reddit.com/r/AskEngineers/comments/18ie8gm/how_do_manufacturers_deal_with_quantum_effects_at/
- https://www.mrlcg.com/resources/blog/understanding-semiconductor-technology-nodes--from-10nm-to-3nm-and-beyond/
- https://semiengineering.com/ai-and-high-na-euv-at-3-2-1nm/
- https://seekingalpha.com/article/4855898-tsmc-why-2026-will-be-even-bigger
- https://imshaid.medium.com/what-comes-after-the-1nm-node-bdf6f6eb7c3a