Vorticity Inc., a technology startup advancing geophysical discovery through modern GPU computing and machine learning, today announced the open-source release of a nationwide dataset of rare earth element (REE) exploration targets, generated through continental scale physics-informed inverse modeling and AI.

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Map outlining the focus regions selected by the Vorticity Open-Source Rare Earths initiative for detailed investigation. Areas exhibiting elevated REE potential within these boundaries have been released publicly for open research and exploration use.

The company’s goal is to enable private and public stakeholders to expand the United States’ REE reserves, strengthen domestic supply chains for defense technologies, clean energy and accelerate mineral exploration through science and breakthrough technology.

AI + Physics for Subsurface Discovery

Vorticity’s platform combines physics-based inverse problems, AI, and large-scale uncertainty quantification to infer subsurface mineralization from geophysical data. Using GPU-accelerated HPC clusters, the system processed national-scale potential-field and geologic datasets to generate high-confidence REE prospectivity zones, each ranked with an associated confidence score.

“Rare earths power everything from electric vehicles to wind turbines and defense electronics,” said Chirath Neranjena, Founder and CEO of Vorticity Inc. “By open-sourcing these targets, we’re inviting private companies, universities, and federal agencies to adopt and extend the results. We want to transform greenfield exploration in the U.S into a highly lucrative national effort.”

Open Data, Open Science

The release includes:

• Geospatial targets and ranked REE prospectivity zones with metadata
• Technical whitepaper detailing inverse modeling, AI pipeline, and uncertainty quantification
• Open-source subsurface dataset (CC BY 4.0 license)
• Visual maps for researchers and agencies

The dataset and documentation are available at https://vorticity.xyz/open-ree.

“Our approach merges rigorous physics with modern AI,” said Paul Koettering, Project Lead at Vorticity. “It demonstrates how modern computing can reduce cost and accelerate mineral exploration by an order of magnitude or more.”

Expanding U.S. Critical Mineral Capacity

These targets could identify new domestic REE deposits, supporting federal goals to secure critical mineral supply chains for defence and advanced manufacturing. Vorticity is inviting private companies, federal agencies in collaboration with the U.S. Geological Survey (USGS), and academic partners to further refine and de-risk these targets.

Multimedia Assets

High-resolution maps, figures, and media resources are available at: Vorticity-open-ree-press-kit

About Vorticity Inc.

At Vorticity, we develop platforms that power advanced scientific computing solutions across multiple industries. The core applied mathematics workloads we address are well understood and precisely defined, allowing us to design targeted software–hardware architectures that deliver exceptional performance across a wide range of problems. Supported by top-tier investors, Vorticity empowers scientists and engineers to tackle some of the world’s most complex challenges.

Visit https://vorticity.xyz for more information.

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These targets could materially increase U.S. Rare Earth Element reserves.