Graphenano Nanotechnologies · New development

The graphene microchip

A patent-protected memory and computing architecture: each part stores far more than a one or a zero, computes where the data lives, and is built on standard wafers.

27 STABLE STATES · MEASURED IN THE LAB
Let's talk
01 · The problem

Your brain burns 20 watts. A data center, megawatts.

Recognizing a face, understanding a sentence, driving a car: your brain does it burning less than an old light bulb. An artificial-intelligence data center does similar tasks burning a million times more. The next decade of AI won't be decided by speed: it will be decided by energy and memory.

The same tasks
20 W
BRAIN
MEGAWATTS
DATA CENTER
02 · The idea

From the switch to the regulator

Inside any chip there are billions of switches: each one says 1 or 0. For fifty years, storing more meant shrinking the switch — and shrinking barely gives any more.

Our idea replaces it with a regulator: the same part that used to say two things can now say 20 or more.

Regulator
2STATES

Five weighted knobs, one single readout

Five regulators on one same channel, each with a different weight — like coins of 1, 2, 4, 8 and 16. Five knobs times five positions make 0 combinations, and each one produces a distinct current that a single meter recognizes at the output. One single readout tells it all. That is the patented trick.

03 · Does it really work?

Measured, not promised

On a real graphene channel, in the lab, we already distinguish 27 stable states per part. The most advanced memory in a phone distinguishes 8.

Stable states per part
GRAPHENANO: 0YOUR PHONE: 0
0

Stable states per part

Measured in the lab on a real graphene channel.

8

States in your phone's most advanced memory

Today's commercial state of the art.

20+

States per regulator

Each part goes from saying 2 things to saying 20 or more.

04 · Neuromorphic behavior

Computing where the data lives

A normal chip stores data in one place and computes in another: every operation is a move, and moving data burns more energy than computing. In our cell, physics does the math: the current the meter reads is the voltage multiplied by the channel's aperture. Nobody computes it — it just happens, in the exact place where the data lives. Like in the brain: the warehouse is the workshop.

VOLTAGE × APERTURE = CURRENT · NEUROMORPHIC BEHAVIOR
05 · The materials

Graphene + white graphene

Graphene: a carbon sheet one atom thick where current flows at tiny voltages and almost no heat — made by Graphenano with its own proprietary system. And white graphene: the same lattice, but insulating; a soundproof wall that cuts electrical noise up to ÷0. Less noise, more states.

Besides, the graphene channel is a reversible street: current can travel with electrons or with holes. Potentially twice the states and a spare lane — something silicon cannot do.

06 · Manufacturing

A penthouse on a building already built

No impossible factory is needed. The base is a standard wafer, produced by dozens of fabs today; our layers are added on top. Without asking permission from the extreme-lithography monopoly, whose machines are built by a single company in the world and whose fabs cost more than $20 billion.

And since the cell makes almost no heat, it can be built vertically, in three dimensions — layer upon layer.

Part versus part

×0

Results per second

In the operation AI lives on, at the same clock.

×30-0

Per mm²

Density of results per square millimeter.

×10-0

Useful work per watt

More useful compute with the same energy.

DESIGN TARGET — pending validation in silicon. The 27 states ARE measured in the lab.

07 · External validation

It's not just us saying it

Columbia University · 2010

The silence of white graphene: the insulator that cuts noise up to 100 times.

Nature · 2024

Industrial-grade graphene, published and peer-reviewed.

Wafers at scale

Demonstrated. Every pillar is validated by independent labs.

THE ARCHITECTURE UNITING THEM IS OURS · PATENT FAMILY GRANTED
Graphenano
Patented technology

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info@graphenano.com