Full-stack autonomous research systems to find optimal solutions for impactful material science and chemistry challenges

WE NEED TO STOP BURNING FOSSIL FUELS

We had incremental engineering improvements in last 30 years but we still use chemistries created in the 70´s. Current state of the art electro-chemical batteries are still 19 times less energy dense than the usable energy of fossil fuels. The low energy density, high cost, slow charge rate and short longevity are the big bottlenecks for full electrification, from electric cars, to marine freight, grid and flight

WHY

Status quo

The current R&D process is limited by the human inability to interpret multi-dimensional data, make unbiased decisions and generate experiments with low variability

TECHNOLOGY FROM 2042

Autonomous research and engineering that generates manufacturable and scalabe solutions from chemical precursors to multi-component devices working in real world applications taking into account a large number of variables

A BETTER TOOL

RESEARCH AND ENGINEERING MERGED

Deep Learning, Statistics and Robotics to find optimal solutions from chemistry to device 1000x faster

How we do it

We automate and integrate all areas of battery research

HGB

BRAIN
Automated unbiased decision making for design of experiments and exploration of possibilities space

HGS

SIMULATIONS
Physical simulations from macroscopic scale to the atomic scale. Calculation of materials properties from first principles

HGX

EXPERIMENTAL
Automated experimental system from material synthesis, characterization and device level testing with zero human input

AREAS

ENERGY STORAGE

In the last 30 years we had incremental improvements with engineering and economies of scale but battery chemistries created in the 70's still dominate the market. Energy storage is the big bottleneck for full electrification

CATALYSIS

Catalysis is a low profile field compared to the massive impact it has in our daily lives. Most chemicals and fuels we depend on are produced from oil and gas. Many of compounds end up as excess CO2 in our atmosphere. Alternative chemical routes to make these products are needed, which require new catalysts

FUTURE AREAS

The Holy Grail framework can be applied to other material science challenges, from fundamental chemistry to engineering optimization, from batteries to superconducting magnets

THE CODE OF MATERIALS

We are creating the biggest and most precise materials dataset in the world. We cross validate all simulations and predictions with automated experimental data with virtually zero variability to achieve meaningful correlations from chemistry to real world testing data, improving the understanding of how materials work from crystal structure to multi component devices

THE GOAL

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