At Physics Inverted Materials, our mission is to reduce materials development time from 20 to 5 years through digital materials testing enabled by machine learning technologies that increase the accuracy and speed of simulation.
New materials need to be developed by 2035 to avert the worst effects of climate change but the centuries old Edisonian trial-and-error method of development has meant most materials take two or more decades to bring to market, putting our climate resilience at risk.
The exponential improvement of computing since the 1950's has enabled digital design in electronic design automation (EDA) and computer aided design (CAD), accelerating development by automating hypothesis testing of billion component products.
The Opportunity: Digital Materials Development
Digitizing materials development is bottlenecked by the lack of materials models that can accurately predict material properties faster and at lower cost than experimental measurement. Digital materials development has therefore remained a dream in computation materials science for over 50 years.
Our Approach
PHIN's artificial intelligence generates high accuracy low-cost simulation models to enable digital materials development. Our software, PHIN-atomic, provides an end-to-end solution for digitally testing materials properties, making accessible the five decades of materials simulation protocols for automating hypothesis testing of material properties.
The Team
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