Pulling rare earths out of coal waste with microbes and AI — under a framework aimed at states federal research money reaches less
The National Science Foundation awarded roughly $1.26 million to Montana Technological University to advance microbial recovery of rare earth elements from coal mining waste and ash toward practical scale, combined with AI. It runs as a collaboration spanning Alaska, Montana and Wyoming.
Grant overview (primary data)
- Award amount$1,260,800
- RecipientMontana Technological University (Montana)
- ProgramEPSCoR RII: Focused EPSCoR Col
- Period2026-09-01 〜 2030-08-31
- FunderU.S. National Science Foundation (NSF) / NSF
Key points
- Developing microbial recovery of rare earth elements locked in coal mining waste and ash, combined with AI ($1,260,800).
- AI predicts promising feedstocks and a virtual testing environment moves laboratory findings toward application; extraction with Shewanella oneidensis is evaluated against techno-economic and life-cycle metrics.
- Led by the University of Alaska Anchorage with the University of Alaska Fairbanks, Montana Technological University and the University of Wyoming.
- The program is EPSCoR RII, aimed at raising research capacity in states where federal research funding concentrates less; it accounts for 8 of the awards this site holds as of 2026-09-02.
- It extends to industry-aligned micro-credentials, a tri-state field course and a university recharge facility.
1A resource inside the discard pile
Rare earth elements are indispensable to energy technology, advanced manufacturing and defense alike. The United States depends on foreign supply for much of it, though not for want of domestic material: abundant supplies sit locked inside coal mining waste and ash. The question is whether extraction from there can be made to pay. This project answers by handing the extraction to microbes and the search for conditions to AI.
2Closing the gap between bench and plant
- 1Virtual assayPredicts and narrows down which feedstocks hold promise
- 2Bioprocess digital twinEmbeds reinforcement-learning controllers and integrates with microgrid simulators
- 3Bio-metallurgical purificationValidates the pathways that turn recovered elements into usable form
- 4Closed evaluation loopIteratively assesses extraction performance with Shewanella oneidensis against techno-economic and life-cycle metrics
The phrase Virtual Pilot Plant captures the design. Testing a laboratory finding at real scale normally requires physical plant, with the time and cost that implies. Filling that gap with a computational model shortens the distance between bench and field. Building power constraints into the simulation reflects that the economics of recovery turn on energy consumption.
3The EPSCoR framework
The program is EPSCoR RII (Focused EPSCoR Collaborations). EPSCoR exists to raise research capacity in states where federal research funding concentrates less, and this award spans Alaska, Montana and Wyoming. In fields where the resource itself is geographically uneven, the places holding the resource and the places holding research capacity need not coincide. This framework works on that mismatch. Of the NSF awards this site holds as of 2026-09-02, EPSCoR RII accounts for 8.
4Read as a supply chain question
The description frames domestic recovery in terms of securing a supply chain. That it extends past technical proof into industry-aligned micro-credentials, a tri-state field course and a compliant university recharge facility follows from recovery technology needing both people and equipment on the ground to actually run.
The records this site holds as of 2026-09-02 span 37 states, and an award structured as a multi-state collaboration is a case where geography is itself part of the problem. Amounts are the obligated amount as of the check date and may change.
Why it matters
A case that approaches securing critical mineral supply from the angle of recovery from waste. Partially replacing physical pilot plant with a computational model is a design that carries to any technology where scaling up is slow and expensive.
FAQ
Why microbes?
What is EPSCoR?
Sources (primary)
Source: NSF Award Search (U.S. National Science Foundation, public domain). Amounts are the obligated amount. For privacy, we do not handle principal investigator names.
- NSF Award (original, official)
- NSF Award ID: 2614750