Aclara Resources has been selected to receive federal funding from the US Department of Energy (DoE) to develop an artificial intelligence (AI)-driven rare earth separation project.
The project is part of the DoE’s Genesis Mission initiative, which supports advanced technologies designed to strengthen domestic rare earth processing and reduce dependence on overseas supply chains.
Topic Snapshot
- Aclara Resources has been selected for US Department of Energy funding.
- The project focuses on AI-driven rare earth separation.
- It forms part of the DoE’s Genesis Mission initiative.
- The technology will use an AI-assisted digital twin to optimize processing.
- The project involves Argonne National Laboratory and Virginia Tech.
- Successful Phase I projects may qualify for additional Phase II funding.
AI to Improve Rare Earth Processing
Aclara’s Phase I project, titled “AI-Enabled Process Optimization for Multi-Feed Rare Earth Separation,” is designed to improve the efficiency of separating rare earth elements using artificial intelligence.
The company aims to apply AI to:
- Optimize multi-feed separation processes
- Improve product quality
- Increase operational stability
- Enhance processing efficiency
- Speed up the commercialization of domestic rare earth technologies
According to Aclara, the project supports its broader goal of building a more secure and advanced rare earth supply chain across the Americas.
Digital Twin Technology at the Core
A key feature of the project is the development of an AI-assisted digital twin.
A digital twin is a virtual model that simulates real industrial processes, allowing operators to test changes and optimize performance without disrupting production.
Aclara’s platform will be designed to optimize complex rare earth solvent extraction circuits operating under changing production conditions.
The company expects the technology to:
- Improve process stability
- Increase rare earth recovery rates
- Produce higher-purity products
- Reduce manual operator intervention
- Support faster commercial deployment
Pilot Plant Data Supports Development
The AI platform will use operational data generated at Aclara’s rare earth separation pilot plant located at Virginia Tech.
This information will be combined with advanced process simulation models developed by Argonne National Laboratory.
The collaboration is intended to create a more accurate and intelligent processing system capable of supporting commercial-scale rare earth production.
Partnership Brings Together Industry and Research
The project will be delivered through a partnership involving:
- Aclara Technologies
- Argonne National Laboratory
- Virginia Tech
The collaboration combines industrial expertise, scientific research, and advanced engineering to demonstrate how artificial intelligence can improve commercial rare earth processing.
Genesis Mission Supports Advanced Technologies
The project is funded under the US Department of Energy’s Genesis Mission, a national initiative focused on accelerating scientific and technological innovation.
The program brings together:
- Government agencies
- Private industry
- Universities
- National laboratories
Its objective is to advance technologies in areas such as:
- Artificial intelligence
- Supercomputing
- Quantum systems
- Advanced scientific research
- Energy security
- Critical minerals
Projects that successfully complete Phase I may become eligible for additional federal support through Phase II funding.
Strengthening the Domestic Rare Earth Supply Chain
Rare earth elements are essential for a wide range of modern technologies, including:
- Electric vehicles
- Wind turbines
- Defense systems
- Consumer electronics
- Advanced manufacturing
Aclara believes combining AI with advanced processing technologies can improve domestic production while reducing reliance on imported rare earth materials.
The company says the project aligns with growing efforts to build a resilient North American supply chain for critical minerals.
Closing
The selection of Aclara Resources for US Department of Energy funding highlights increasing investment in AI-powered rare earth processing. By developing an intelligent digital twin for solvent extraction, the company aims to improve processing efficiency, product quality, and operational reliability while supporting the growth of a stronger domestic critical minerals industry.
