Notice ID: 79bab1c4f1f9465d9b0fd36369dc86aaSources Sought
DOE Critical Mineral Resource Potential
Active, responses due . Full description on SAM.gov.
Description
September 30, 2026
DEPARTMENT OF ENERGY Expression of Interest—DOE’s Office of Environmental Management (DOE-EM) Critical Minerals and Materials Inventory.
AGENCY: Office of Environmental Management, Department of Energy.
ACTION: Expression of Interest (EOI).
SUMMARY: The U.S. Department of Energy (DOE) Office of Environmental Management (EM) publishes the following questions regarding potential collaboration with interested parties for the reuse of its critical and rare earth minerals and materials. The goal is to ensure surplus critical minerals and materials within the DOE inventory are repurposed to bolster and diversify the U.S. supply chain. This will support domestic scientific, manufacturing, and energy needs.
A list of materials and minerals in DOE’s inventory is supplied as an attachment. Respondents should note that industry partners would be responsible for the subsequent extraction or reprocessing of the material.
THIS IS AN EXPRESSION OF INTEREST ONLY. THIS NOTICE DOES NOT CONSTITUTE A NOTICE OF FUNDING OPPORTUNITY (NOFO). A NOFO DOES NOT EXIST AT THIS TIME. DOE will not provide funding or compensation for any information submitted in response to this EOI. This EOI is not seeking or accepting applications, and a response to this EOI will not be viewed as a binding commitment to develop or pursue the ideas discussed. No material submitted for review will be returned.
DATES: Responses to the EOI must be received no later than November 2, 2026. A virtual Industry Day will be held on September 30, 2026. For questions and a link to attend, please email DOECriticalMinerals@doe.gov.
ADDRESSES: Interested parties are to submit comments electronically to DOECriticalMinerals@doe.gov with the subject line “EM Critical Minerals Inventory” no later than November 2, 2026. All responses must be submitted as a Microsoft Word document (.doc/.docx) of no more than five (5) pages in length, with black, Times New Roman, 12-point font, and 1-inch margins as an attachment to an email. The document cannot exceed 2MB in size. Only electronic responses to the above email address will be accepted. DOE will not consider responses submitted by any other means.
FOR FURTHER INFORMATION CONTACT: DOECriticalMinerals@doe.gov
Overview
Agency:
Department of Energy
Office:EM-ENVIRONMENTAL MGMT CON BUS CTR
Posted:October 26, 2026
NAICS:Not specified
Last Updated:Oct 28, 2026
First published:
Last updated on SAM.gov:
PSC:Not specified
Set-Aside:Not specified
Type:Sources Sought
Place of Performance:Ohio, 45202
Award Overview
Possible prior contracts
Sign in to see possible prior contracts for this requirement (matched by agency, NAICS and place of performance; not confirmed).
Contacts
Contracting Officer
Primary Contact
Rob Seifert
Documents
Files (13)
- Download
20261012_090015.jpg
2.1 MBAdded in Sources Sought version 8Posted - Download
Moab Critical Minerals EOI.pdf
108 KBAdded in Sources Sought version 8Posted - Download
20261012_063049.jpg
2.7 MBAdded in Sources Sought version 8Posted - Download
paducah and porthsmouth cm eoi questions.pdf
58 KBAdded in Sources Sought version 8Posted - Download
oak ridge cm eoi questions (AK).pdf
62 KBAdded in Sources Sought version 8Posted - Download
nevada cm eoi questions.pdf
62 KBAdded in Sources Sought version 8Posted - Download
Moab_Critical Minerals_Overview_Final.pptx
58 MBAdded in Sources Sought version 7Posted - Download
OakRidge_Critical Minerals_Overview_(Sept 28).pptx
21 MBAdded in Sources Sought version 7Posted - Download
Navarro Slides for Industry Day (Lead) Final.pptx
20 MBAdded in Sources Sought version 7Posted - Download
PPPO_Critical Minerals_Overview_Draft.pptx
6.5 MBAdded in Sources Sought version 7Posted - Download
Compiled EOI and Appendices_V3.pdf
321 KBAdded in Sources Sought version 6Posted - Download
Compiled EOI and Appendices_V2.pdf
321 KBAdded in Sources Sought version 4Posted - Download
Compiled EOI and Appendices.pdf
316 KBAdded in Sources Sought version 3Posted
Lifecycle
- 1Version 1Sources Sought
Critical Mineral Resource Potential at the Portsmouth Site
- 2Version 2Sources Sought
DOE Critical Mineral Resource Potential
- 3Version 3Sources Sought
DOE Critical Mineral Resource Potential
- 4Version 4Sources Sought
DOE Critical Mineral Resource Potential
- 5Version 5Sources Sought
DOE Critical Mineral Resource Potential
- 6Version 6Sources Sought
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- 7Version 7Sources Sought
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- 8Version 8Sources SoughtCurrent
DOE Critical Mineral Resource Potential
Similar Opportunities
Title | Phase | Agency | NAICS | Set Aside | Posted | Deadline | Location |
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The Quantum Trapped-Atom Gravity Gradiometer (Q‑TAGG), developed at Los Alamos National Laboratory, is a compact sensing platform designed to achieve extended atom interferometer interrogation times without the height required by conventional free‑fall instruments. Ultracold atoms remain guided during interferometric evolution, providing a pathway to increased sensitivity within a compact architecture. The platform uses spatially multiplexed sensing, with multiple atomic sensing sites across one or more sensor heads operated under common or phase-referenced interrogation conditions. The resulting site-resolved phase measurements support estimation of spatially varying gravitational signals and differential processing of correlated disturbances. By combining a compact guided-atom architecture, spatial multiplexing, and suppression of correlated disturbances, Q‑TAGG provides a pathway toward deployable quantum sensing for subsurface imaging, resource exploration, safeguards, and security applications. Overview Q‑TAGG measures spatial variations in gravity using atom interferometric phase measurements acquired at distinct sensing locations. Optical pulses split, redirect, and recombine guided atomic wave packets. The resulting interferometric phase is sensitive to gravity and inertial acceleration along the relevant measurement axis, as well as to optical, trapping, and other instrument‑related contributions. Multiple sensing locations are interrogated during a common measurement cycle, producing a synchronized spatial data set. After calibration and differential processing, relative phase measurements are used to estimate gravity field gradients and related spatial modes. The architecture also supports multiple spatially separated sensor heads for longer‑baseline or distributed measurements. Technology Description Each sensor head prepares one or more ultracold atomic ensembles at respective locations within an optical guiding or trapping structure. The atomic ensembles are subjected to a common or phase‑referenced interferometric pulse sequence and are read out on a site‑resolved basis. Guiding the atoms during interrogation permits longer interaction times in a lower profile system than would be required for an equivalent free‑fall distance. Because the sensing locations share common timing and an optical phase reference, their outputs are analyzed jointly. Differential and global estimation approaches are used to extract relative phase information, evaluate spatial consistency, and estimate gravity gradient signals. Common interrogation also suppresses disturbances correlated among the sensing locations. Multiple sensor heads can be arranged in linear, planar, or distributed configurations, providing flexibility in the selection of baselines and measurement geometries. Multi-axes sensing arrangements can also access additional components of the gravity gradient tensor. Advantages Guided atom interferometer operation supports extended interrogation without a tall free‑fall structure. Spatial multiplexing provides multiple simultaneous phase samples within each measurement cycle. Joint processing of multi‑site data supports gradient estimation, consistency checks, and systematic error diagnostics. Common or phase‑referenced interrogation reduce sensitivity to correlated disturbances. Atom‑based phase measurements support a repeatable, model‑based calibration framework. Configurable sensor arrangements support different baselines and measurement geometries. Market Applications Geothermal and resource exploration (gravity gradient surveys of geological boundaries and density contrasts). Subsurface imaging and infrastructure (detection and characterization of tunnels, voids, buried structures, and changes around engineered sites). Environmental and storage monitoring (repeat surveys of groundwater, subsurface reservoirs, carbon storage sites, and changing mass distributions). Security and nuclear safeguards (passive detection or monitoring of gravity anomalies associated with dense objects). Mobile surveying and navigation (moving platform gravity mapping and gravity-referenced positioning following dynamic validation). Space-based Earth observation (gravity mapping for geodesy, hydrology and climate monitoring). TRL 4 U.S. Patent pending LA-UR-26-29523 LANL Tech Partnerships: Unlock the Innovative Potential Los Alamos National Laboratory offers a wide range of cutting-edge technologies and capabilities that may provide your company with a competitive edge in the market and unlock the innovative potential that can enhance, refine, and revolutionize your products. LANL’s licensing program focuses on moving inventions developed by our researchers to commercial innovations. Patented and patent pending inventions and copyrighted software are available to existing and start-up companies through exclusive and non-exclusive licensing agreements. For specific discussions, please contact licensing@lanl.gov. Note: This is not a call for external services for the development of this technology. https://www.lanl.gov/engage/collaboration/feynman-center/partner-with-us/licensing-technology m.lanl.gov/tech-search | Special Notice | 334519 | No Set-Aside | 10/27/2026 | 11/17/2026 | Los Alamos, NM | |
Every direct air capture (DAC) system depends on its sorbent, and every sorbent eventually wears out. This DAC from Los Alamos National Laboratory tackles that weakness head-on. It replaces the harsh release step with a gentler, ammonia-assisted process, which shields amine-based sorbents from the degradation that drives up operating costs. The method works with a broad family of established sorbent materials and support structures, so developers can build it into existing capture designs rather than starting over. Challenges Direct air capture is a two-step cycle: a sorbent captures CO2 from the air, then releases it as a concentrated stream. Liquid sorbents need expensive equipment and a lot of energy, more than 400 kJ of work per mole of CO2. Amine-based solid sorbents capture more CO2, regenerate at about 120°C and even perform better in humid air. Their weakness is durability. At release temperatures of 80°C and above, oxygen reacts with the amines to form free radicals and the amines can evaporate. Both effects wear the sorbent down over repeated cycles. Replacing sorbent drives up the overall cost of direct air capture and stands in the way of large-scale deployment. Problems Solved DAC changes how the sorbent gives up its captured carbon. First, the sorbent absorbs CO2 from ambient air at ordinary outdoor temperatures and pressures. Then, instead of relying on the conventional release step that damages the material, the method exposes the loaded sorbent to ammonia gas, which prompts it to release the CO2. Regeneration takes place at 75–120°C under reduced pressure (20–600 mbar), and the released CO2 can then be stored. The method is designed to prevent sorbent degradation and erosion. The application sets performance goals ranging from at least 50% of original capacity after five cycles to as much as 99% across 500 cycles. It applies to widely used amine sorbents, on supports that include silica, alumina, carbon materials and cellulose. Longer sorbent life means lower operating costs and a stronger economic case for direct air capture. Advantages Extends the useful life of capture sorbents and slows their breakdown Lowers operating costs by reducing how often sorbent must be replaced Works with many established amine sorbents and support materials Captures carbon at normal outdoor temperatures and pressures Delivers a high-purity CO2 stream for storage or reuse Improves the overall economics of carbon removal projects Market Applications Carbon removal and climate technology (direct air capture plants, carbon removal credit projects) Carbon storage and utilization (geologic storage, CO2-to-fuels and chemicals) Industrial gases (captured CO2 supply for food, beverage and manufacturing uses) Sorbent and specialty materials (advanced adsorbent production, sorbent coatings) Air handling and indoor environments (CO2 scrubbing in buildings, enclosed or controlled spaces) Energy and heavy industry (decarbonization strategies for utilities, oil and gas companies and manufacturers) TRL 2 S-167699 LA-UR-26-29519 LANL Tech Partnerships: Unlock the Innovative Potential Los Alamos National Laboratory offers a wide range of cutting-edge technologies and capabilities that may provide your company with a competitive edge in the market and unlock the innovative potential that can enhance, refine, and revolutionize your products. LANL’s licensing program focuses on moving inventions developed by our researchers to commercial innovations. Patented and patent pending inventions and copyrighted software are available to existing and start-up companies through exclusive and non-exclusive licensing agreements. For specific discussions, please contact licensing@lanl.gov. Note: This is not a call for external services for the development of this technology. https://www.lanl.gov/engage/collaboration/feynman-center/partner-with-us/licensing-technology m.lanl.gov/tech-search | Special Notice | 541715 | No Set-Aside | 10/27/2026 | 11/17/2026 | Los Alamos, NM | |
Claude for Government for the DOE EMCBC | Awarded | 518210 | No Set-Aside | 10/21/2026 | Open | - | |
CorrelateIQ reveals hidden relationships among many data streams at once, catching hidden patterns, early warning signs and operating shifts that single-variable monitoring overlooks. Built on analysis techniques from high-energy physics, this software from Los Alamos National Laboratory turns existing sensor and process data into practical insight that helps organizations prevent failures, protect quality and reduce downtime. Because the method makes no assumptions about where the data comes from, it applies to a wide range of numeric data, from manufacturing sensors and equipment logs to financial records, market data and scientific measurements. Overview Factories, laboratories, infrastructure networks, financial and real-estate markets now produce huge volumes of linked data from sensors, equipment logs and transactions. Most analytics tools, however, judge each variable separately or depend on fixed thresholds that trigger an alert only after a single reading crosses a limit. These methods have trouble spotting effects that arise from subtle interactions among many variables, such as gradual equipment wear, a drifting manufacturing process or a market entering a new phase. As a result, organizations often miss the earliest warning signals, react to failures only after they happen and leave much of the value in their data untapped. Teams in every data-reach fields need a practical way of understanding how an entire system behaves as a whole, not merely how each part performs alone. Key Benefits Spots early warning signs before small problems become costly failures Uncovers the hidden factors that drive outcomes such as quality, risk or price Reveals relationships across many data sources that conventional tools miss Identifies which combinations of variables matter most Gets more value from data organizations already collect Works across industries and data types, from factory sensors to financial records Condenses complex, high-volume data into clear, compact indicators Complements existing monitoring, machine learning and digital twin systems Core Capabilities At its core, CorrelateIQ: Correlation-Based System Intelligence measures collective behavior. Users choose the variables or signals of interest, and the software calculates higher-order correlations that capture how those inputs change together rather than separately. The framework accepts mixed data types, including time-series records, sensor readings, transactional data and scientific measurements. It condenses them into compact representations of overall system behavior. Because the software reduces many interacting variables to a smaller set of meaningful indicators, complex environments become easier to read, compare and act upon. CorrelateIQ also goes beyond a single snapshot. It tracks how correlation patterns change over time, so users can see shifts in operating state, new anomalies and transitions from one regime to another. Its outputs can act as an analytics or feature-generation layer that feeds existing monitoring, control or machine learning systems. It can run in real-time monitoring pipelines or offline analytics platforms. Planned improvements include automated selection and ranking of the most useful correlations, adaptive correlation building and closer integration with predictive maintenance and digital twin workflows. Use Cases & Market Applications Semiconductor and advanced manufacturing (process monitoring, quality control) Industrial operations and energy (predictive maintenance, equipment health) Infrastructure (structural health monitoring, multisensor networks) Industrial software and digital twins (system modeling, feature generation) Finance and real estate (market shift detection, risk analysis) Scientific research (physics data analysis, complex systems studies) Healthcare, transportation and cybersecurity (anomaly detection, early warning) Supply chains and climate monitoring (leading indicators, change detection) LA-UR-26-29216 LANL Tech Partnerships: Unlock the Innovative Potential Los Alamos National Laboratory offers a wide range of cutting-edge technologies and capabilities that may provide your company with a competitive edge in the market and unlock the innovative potential that can enhance, refine, and revolutionize your products. LANL’s licensing program focuses on moving inventions developed by our researchers to commercial innovations. Patented and patent pending inventions and copyrighted software are available to existing and start-up companies through exclusive and non-exclusive licensing agreements. For specific discussions, please contact licensing@lanl.gov. Note: This is not a call for external services for the development of this technology. https://www.lanl.gov/engage/collaboration/feynman-center/partner-with-us/licensing-technology m.lanl.gov/tech-search | Special Notice | 513210 | No Set-Aside | 10/16/2026 | 10/31/2026 | Los Alamos, NM | |
The Department of Energy (DOE) is releasing the Final Request for Proposal (RFP), Solicitation Number (No.) 89303326REM000152, for the Hanford 222-S Laboratory procurement. The Final RFP can be found on the Environmental Management Consolidated Business Center (EMCBC) Hanford 222-S Laboratory’s procurement website at https://www.emcbc.doe.gov/SEB/Hanford222S. | Solicitation | 562910 | No Set-Aside | 10/16/2026 | 12/10/2026 | Richland, WA |
Additional Details
Solicitation Number
DOECriticalMineralResource2026
Archive Date
Nov 17, 2026
Office Address
CINCINNATI, OH, 45202