Semiconductor Method Discovery — AES YFlops IC Fabrication
Publicly online since 2010 · U.S. patent applications since 2012 · inventions offered since 2014. The work of Christopher Gabriel Brown, independently documented.
CRI-ONE -- PROJECT 15 -- SEMICONDUCTOR METHOD DISCOVERY
WHAT THIS CHIP CAN DO
A simplified look at what happens when you plug in a 100 YFlops card built on a five-dollar substrate.
Christopher Gabriel Brown | CRI-ONE Applied Sciences and Acquisitions | March 2026
Table of Contents
1. The Short Version
This is a single expansion card -- the kind that slides into a PCIe slot on any standard server or workstation. It is 167 millimeters long and 69 millimeters tall. It draws 235 watts. It has one power connector and one set of optical fiber ports on the back.
Inside the card is a chip. The chip is 32 millimeters square and 10 millimeters tall. It contains 8 trillion transistors spread across 32 stacked layers. It runs at 5.8 GHz. It delivers 100 YFlops of peak compute performance -- that is 100 yottaflops, or 100 septillion floating-point operations per second.
The chip is not built on silicon. It is built on a material called AES that costs five dollars per kilogram and outperforms every semiconductor substrate the industry uses today.
2. What AES Changes
Silicon has been the foundation of every major chip for seventy years. It works. But it was never the best material -- it was the most convenient one. The Alchemy Data V2 system scored 2,000 compound combinations against twenty criteria and found something better.
AES moves electrons eight times faster than silicon. It conducts heat nearly three times better. It has a direct bandgap -- meaning it can switch states and emit light efficiently in the same structure. And it is a commodity material with a global supply chain. No rare earths. No specialized sourcing. Five dollars a kilogram.
Silicon (Industry Standard)
Electron mobility: 1,500 cm2/V-s
Hole mobility: 450 cm2/V-s
Thermal conductivity: 150 W/m-K
Bandgap: 1.12 eV (indirect)
AES (Project 14 Discovery)
Electron mobility: 12,000 cm2/V-s
Hole mobility: 8,000 cm2/V-s
Thermal conductivity: 400 W/m-K
Bandgap: 0.8 eV (direct)
What this means in practice: transistors switch faster, the chip runs cooler under load, and the same design can clock higher or use less power at the same speed. The thermal advantage alone changes what is possible in a vertical stack -- you can put 32 active layers on top of each other because the substrate itself pulls heat away instead of trapping it.
3. Four Kinds of Computation in One Package
Most chips do one thing. This chip does four fundamentally different things at the same time, in the same package, connected by the same optical backbone.
Classical Computation
Standard transistor-based processing -- the kind every computer uses today -- but running on AES instead of silicon. CPU cores, GPU arrays with 40,960 threads, 360 tensor cores for AI workloads, and two dedicated data processing units. This handles everything that conventional computing handles: operating systems, applications, databases, simulations, machine learning training and inference.
The difference is speed. AES transistors switch faster because electrons move through the material eight times faster than through silicon. At 5.8 GHz with 8 trillion transistors, the classical subsystem alone exceeds anything currently in production.
40,960 threads | 5.8 GHz | 110 TOPS AI | 1,600 MB L3 cacheQuantum Computation
100,000 logical qubits built from 700,000 physical superconducting qubits, operating at 15 millikelvin. Quantum computation solves certain classes of problems that classical computers cannot solve in any reasonable amount of time -- molecular simulation, optimization across millions of variables, cryptographic analysis, materials science modeling, drug discovery, and financial risk calculations involving correlated uncertainties.
The quantum subsystem is not a separate machine. It is layers 29 and 30 of the same chip, connected to the classical subsystem through shared interconnect. A classical program can dispatch a quantum subroutine and receive the result without leaving the package. The quantum error correction layer maintains 100% gate fidelity in real time.
100,000 logical qubits | 100.0% gate fidelity | 2,550 microsecond coherencePhotonic Computation and Communication
Light carries data between all 32 layers at 2,000 gigabits per second with less than one nanosecond of latency per hop. But it does more than carry data -- it encodes operations. Six wavelengths of light represent six mathematical operations: addition, subtraction, multiplication, division, quantum gate triggers, and synchronization. The instruction and the data travel together as a single photon pulse.
This eliminates the bottleneck that limits every conventional chip: the electrical bus. Electrical signals slow down as they travel through copper. Light does not. The photonic backbone means that a tensor core on layer 13 can send a result to a quantum processor on layer 29 at the speed of light through a waveguide, not through a chain of copper wires.
2,000 Gb/s | sub-1ns latency | 6 wavelength-encoded operationsDNA Molecular Logic
140 synthetic DNA helix structures containing 140 million engineered base pairs, forming 35,840 molecular logic gates. These gates are activated by ultraviolet light pulses from the photonic layer below. DNA molecular logic operates at the scale of individual molecules -- it is the densest form of computation and storage that exists.
The storage density is 21.50 exabytes per cubic millimeter. To put that in perspective: one exabyte is one billion gigabytes. This single layer, 300 micrometers thick and 32 millimeters square, stores more data than every hard drive currently manufactured in a year. And it is not passive storage -- the molecular logic gates compute on the stored data in place, without moving it to a processor.
21.50 EB/mm3 storage | 35,840 molecular gates | UV-photonic trigger4. A Chip That Manages Itself
The package draws 235 watts from the wall. But internally, it recovers a significant portion of its own waste energy and manages its own thermal environment with no moving parts.
LED Power Recycling
Three layers of the stack (layers 4, 16, and 23) contain arrays of gallium nitride LEDs and gallium arsenide photodiodes. Waste heat from the compute layers is absorbed and converted to light. The light is captured by photodiodes and converted back to electricity, which feeds directly back into the power delivery network. Net result: 42% reduction in power drawn from the external supply. The chip recycles almost half its own energy.
42% net power reduction | 90% photon capture efficiencyElectromagnetic Cooling
Four cooling layers (3, 9, 15, 22) use bismuth telluride Peltier thermoelectric elements and graphene thermal bridges to actively cool the stack. No fans. No liquid cooling loops. No pumps. The cooling system is solid-state, embedded in the chip itself, and maintains the compute layers at 45 degrees Celsius under full load. 97% cooling efficiency with zero moving parts.
97% efficiency | zero moving parts | 45 degrees C under full loadOn-Chip Quantum Batteries
Two battery layers (12 and 21) contain solid-state thin-film lithium batteries with 20 sub-cells total. Combined capacity: 1,500 watt-hours. These batteries serve burst computation -- when the chip needs more instantaneous power than the PCIe connector can deliver, the batteries discharge to cover the gap. They recharge continuously from the power delivery network and the LED recycling system. Cycle life exceeds 100,000 charge-discharge cycles.
1,500 Wh capacity | 100,000+ cycle life | burst power supportWhat this means together: the chip draws 235 watts but recycles 42% of it internally. It cools itself without fans. It stores energy on-chip to handle power spikes. The PCIe card plugs into a standard slot, connects to a standard power connector, and operates without any external cooling infrastructure beyond normal chassis airflow.
5. What You Could Do With It
A chip with these capabilities does not fit into one category. It is not a CPU. It is not a GPU. It is not a quantum processor. It is all of them at once, in one card, talking to each other at the speed of light. Here is what that enables:
Train the Largest AI Models in Hours, Not Months
Current state-of-the-art language models require thousands of GPUs running for months. A single card delivering 100 YFlops with 110 TOPS of dedicated AI acceleration and 750 GB/s memory bandwidth compresses that timeline by orders of magnitude. The neuromorphic spiking layers handle inference at near-zero idle power. The tensor cores handle training. The quantum subsystem accelerates optimization passes that would take classical hardware days.
Simulate Molecules Atom by Atom
Drug discovery, materials science, and chemistry all depend on simulating molecular interactions. Classical computers approximate these simulations. Quantum computers solve them exactly -- but current quantum hardware has too few qubits and too much noise. This chip has 100,000 logical qubits at 100% gate fidelity with millisecond coherence times, co-located with classical compute that can prepare inputs and process outputs without network latency. Full molecular simulation of complex proteins, catalysts, and novel materials becomes practical.
Run an Entire Data Center from a Single Rack
A standard 42U server rack holds approximately 20 dual-slot servers. Each server can hold multiple PCIe cards. A rack of these cards delivers more compute than the largest data centers currently in operation -- while drawing a fraction of the power. The self-cooling, self-recycling design means no chilled water loops, no raised-floor cooling, no dedicated power substations. Standard rack power, standard airflow, extraordinary output.
Break and Rebuild Cryptography
100,000 logical qubits is enough to run Shor's algorithm against RSA-2048 and current elliptic curve cryptographic standards. This is not theoretical -- it is a matter of qubit count and gate fidelity, both of which this chip meets. The same quantum capability that breaks existing encryption can also generate quantum-secure keys, implement quantum key distribution, and build post-quantum cryptographic systems. The chip is both the threat and the defense.
Store Everything
The DNA molecular logic layer stores 21.50 exabytes per cubic millimeter. A single chip holds more raw storage capacity than the combined output of the global hard drive industry in a year. And it is not cold storage -- the molecular logic gates can search, filter, and compute on the stored data without moving it to another layer. Archival, retrieval, and analysis happen in the same 300-micrometer-thick layer.
Model Climate, Weather, and Planetary Systems in Real Time
Climate models are constrained by resolution. Higher resolution requires more compute. Current supercomputers model Earth's atmosphere at 25-kilometer grid cells and take days to produce a forecast. 100 YFlops with quantum acceleration enables sub-kilometer resolution in real time -- detailed enough to model individual thunderstorms, urban heat islands, and ocean current eddies as they form.
Power Autonomous Systems That Think on the Edge
The neuromorphic spiking layers draw near-zero power when idle and respond to inputs in under one nanosecond. Combined with classical inference from the tensor cores and decision-making from the quantum subsystem, the chip can run autonomous navigation, real-time sensor fusion, and adaptive decision-making without a cloud connection. A self-driving vehicle, a surgical robot, or a defense platform could carry its entire intelligence stack on a single card.
6. How It Gets Built
The full technical details are documented in the companion expose (EXPOSE.html) and the project's fabrication process, materials specifications, layer architecture, equipment list, manufacturing roadmap, and quality control files. The simplified version:
Step 1: Melt copper and tin at 88:12 ratio. Pull a single crystal. Slice it into wafers. Polish to atomic smoothness.
Step 2: Build transistors on each wafer using extreme ultraviolet lithography at 1.5 nanometers -- the same process used by the world's most advanced fabs, adapted for AES instead of silicon.
Step 3: Wire each layer with 12 levels of copper and AES interconnect. Drill 12,000 through-substrate vias per square millimeter for vertical connections.
Step 4: Build the specialty layers separately: quantum qubits on sapphire, photonic waveguides in silicon nitride, DNA molecular logic on functionalized gold nanopads, batteries in solid-state lithium, cooling in bismuth telluride.
Step 5: Thin every wafer, stack all 32 layers, bond them with copper-to-copper thermocompression at sub-200nm alignment.
Step 6: Package the chip, mount it on a PCIe card with power delivery, heatsink, and optical ports. Test everything. Ship it.
Total fabrication time: approximately 46 weeks per production lot. The manufacturing plan specifies every material, every process gas, every piece of equipment, every quality gate, and every test procedure. Nothing is left to interpretation.
7. How To Get It
The technology is available through four purchase tiers, designed so that no buyer commits to the full acquisition without first validating the claims independently:
The documentation. Read everything. Assess the feasibility on paper. 90 days, non-transferable, no production rights.
The documentation plus sample models and lab testing rights. Take AES into your own lab. Build test transistors. Measure the mobility and the bandgap yourself. 12 months, non-transferable, no production.
Everything in Tiers 1 and 2 plus the AES-specific process design kit and production recipes. Manufacture and sell devices. 10% royalty on net selling price. Non-exclusive -- multiple licensees may operate at the same time.
Everything. The GDSII design files. The physical test wafers. The full validation dataset. The SPICE models. The PDK. The foundry handoff kit. The 2,000-compound Alchemy database. The PCIe card design. Walk into a foundry and tape out.
All tiers are non-exclusive. Christopher Gabriel Brown retains all IP ownership. No buyer receives exclusivity or the ability to block competitors. The acquisition path is: read it, test it, license it, or acquire it. Each step validates the one before it.
The detailed technical expose, full fabrication process, materials specifications, 32-layer architecture, equipment list, manufacturing roadmap, quality control procedures, and royalty structure are available in the companion documents. This page describes what the technology does. Those documents describe exactly how to build it.
The substrate is five dollars. The capability is unlimited.