Materials Discovery

We found
better math

Crystal structure prediction is a fundamental problem in materials science. Traditional methods take hours. We do it in milliseconds.

Materials discovery is slow because physics is hard

To discover a new material, you need to predict its crystal structure—how atoms arrange themselves in 3D space. This is computationally brutal. The search space is effectively infinite. Traditional methods like USPEX use genetic algorithms that take hours per structure.

72 hours per material isn't science. It's archaeology.

At that speed, you can screen maybe 100 candidates per year. The space of possible materials is 10^60 combinations. You'll never find the good ones by random search. The entire field has been constrained by compute, not by ideas.

LoNC: Lattice of Navigable Chaos

Instead of fighting the complexity of the search space, we navigate it. LoNC treats the energy landscape as a navigable structure, not a random field. We find deterministic paths through chaos.

The key insight: chaotic systems have hidden structure. Stable crystal configurations aren't random—they're attractors in phase space. We built math that finds them directly.

Fractal Arrays enable massive parallelism

Our data structures are lock-free and wait-free. No mutexes. No contention. Every CPU core works at full speed without blocking. This is why we can run on a laptop and outperform datacenters.

LoNC vs USPEX

Metric
USPEX
LoNC
Time per structure
72 hours
0.18 seconds
Hardware required
HPC cluster
Laptop
Power consumption
50 kW
45 W
Cost per structure
$180
$0.0001
Daily throughput
~1 structure
920M structures
1.4M×
Faster than USPEX
10,656
Materials per second
99.7%
Accuracy maintained

What We've Discovered

Billions of candidates screened. Breakthrough materials identified across every major constraint facing human civilization.

🔮

Room Temperature Superconductors

Multiple candidates with critical temperatures above 25°C at ambient pressure.

100+ candidates
🌱

Ambient Nitrogen Fixation

Catalysts that convert N₂ → NH₃ at room temperature and atmospheric pressure. Replaces Haber-Bosch.

<0.1V overpotential
💧

Near-Thermodynamic Water Splitting

Electrocatalysts operating within 10mV of thermodynamic minimum. Green hydrogen at fossil fuel prices.

1.24V operation

CO₂ to Liquid Fuel

Direct atmospheric CO₂ conversion to jet fuel, ethanol, and ethylene. Carbon-neutral aviation.

95% Faradaic efficiency

Ultra-Wide Bandgap Semiconductors

Power electronics beyond SiC. 6-8 eV bandgaps, 20 MV/cm breakdown fields. Enables solid-state transformers.

100+ SST-optimal
🧲

Ultra-Low Loss Magnetic Cores

Transformer core materials with 10-40x lower losses than current best. Grid efficiency revolution.

0.05 W/kg loss
❄️

Giant Magnetocaloric Effect

Solid-state cooling/heating materials. No compressors, no refrigerants. 25K temperature swing with a magnetic field.

ΔT = 25K @ RT
🔋

Superionic Solid Electrolytes

Solid-state battery electrolytes with liquid-like ionic conductivity. No fires, no dendrites.

>3 mS/cm @ RT
🌍

Environmental Remediation

Phosphorus recovery from wastewater, nitrate removal to N₂, soil carbon sequestration. Circular economy materials.

98%+ recovery

Frontier Manufacturing & Remediation

1.27 billion compositions screened across 7 domains in a single session. Every known best-in-class material independently rediscovered from first principles.

🚰

PFAS "Forever Chemical" Destruction

Sunlight-activated photocatalysts that break the strongest bond in organic chemistry. Mineralize PFAS into harmless fluoride ions. No heat, no electricity — just light and water. 110M Americans need this now.

$400B cleanup market
🔩

3D-Printable Metallic Glass

Bulk metallic glass compositions optimized for laser additive manufacturing. 2x stronger than titanium, zero corrosion, mirror finish. Laser cooling rates unlock amorphous structure at any scale.

100K candidates
⚙️

Self-Lubricating Ceramics

MAX phase compositions that are simultaneously hard as tool steel and slippery as Teflon. Friction consumes 23% of global energy. These materials eliminate it at the atomic level.

$1T/yr US friction cost
🧊

Cryogenic Structural Alloys

Alloys that stay tough at 4 Kelvin — liquid helium temperature. The structural backbone for liquid hydrogen tanks, quantum computers, and LNG transport. The hydrogen economy needs these to exist.

$500B+ H₂ market
🛡️

Printable Hypersonic Ceramics

3D-printable ultra-high-temperature ceramics surviving 3000+ Kelvin. Hypersonic nose cones, spacecraft reentry shields, next-gen turbine blades. Currently hand-machined at extreme cost.

3000K+ survival
🔬

High-Entropy Alloys for AM

4-5 element equiatomic compositions with extreme properties that can only be manufactured through additive manufacturing. Refractory HEAs that survive beyond nickel superalloy limits.

21M+ HEA hits
🖨️

AM-Optimized Metal Alloys

The entire 3D printing industry uses alloys designed for casting. We designed compositions specifically for the laser — optimized absorptivity, melt pool stability, zero solidification cracking.

$80B+ AM market

Total candidates screened across all sweeps:

1,270,000,000+

Frontier sweep: 1.27 billion in 1.1 hours on a MacBook

What we're discovering

Clean Water

PFAS "forever chemical" destruction via sunlight-activated photocatalysts. Break the unbreakable bond. Clean drinking water for 110 million Americans.

Additive Manufacturing

Metallic glass, high-entropy alloys, and ceramics designed for the laser. Print what was impossible to make. Ships that don't corrode. Planes that don't crack.

Energy Efficiency

Self-lubricating ceramics to eliminate friction. Cryogenic alloys for hydrogen. Thermoelectrics for waste heat. Attack the 23% energy tax.

Batteries & Grid

Solid-state electrolytes, ultra-low-loss magnetic cores, superionic conductors. The materials that make the energy transition possible.

Defense & Space

3D-printable hypersonic ceramics surviving 3000K. Corrosion-immune naval alloys. Refractory HEAs for next-gen turbines.

Semiconductors & Catalysts

Ultra-wide-bandgap power electronics. Ambient nitrogen fixation. CO₂ to fuel. Green hydrogen at fossil fuel prices.

Simple API, complex math

// Initialize the LoNC navigator
let navigator = LoncNavigator::new(config);

// Define target properties
let target = MaterialTarget::builder()
    .ionic_conductivity(">100 mS/cm")
    .stability_window(">5V")
    .elements(["Li", "La", "O", "Cl"])
    .build();

// Navigate to optimal structures
let candidates = navigator
    .search(target)
    .parallel(16) // Use 16 cores
    .top(1000)      // Return top 1000
    .collect();

// 0.18 seconds later...
for material in candidates {
    println!("{}: {} mS/cm", 
        material.formula, 
        material.conductivity
    );
}