The EDX ClaiMM platform connects the critical minerals and materials (CMM) community to publicly available data resources in support of the U.S. Department of Energy (DOE), Office of Fossil Energy and Carbon Management’s (FECM’s) mission and goals.

EDX ClaiMM is a curated digital platform optimized for CMM stakeholders to accelerate commercial, regulatory, social, and environmental CMM goals. Funded by the bipartisan infrastructure law (BIL), EDX ClaiMM hosts tools, datasets, dashboards, publications, and search capabilities to help users find the right resources to meet their CMM research needs.

The U.S. DOE FECM has supported the development of virtual data curation and collaboration capabilities within the EDX platform since its inception in 2011. The platform hosts an ever-growing collection of FECM data and products from many programs. EDX ClaiMM aims to help CMM stakeholders easily connect to the most relevant resources by increasing the visibility of public CMM research products. EDX ClaiMM also includes links to publicly available resources from authoritative sources outside of DOE FECM’s program products.

The EDX-hosted Discover platform connects the transport and storage (T&S) community to publicly available data resources in support of the U.S. Department of Energy (DOE), Office of Fossil Energy’s (FE’s) mission and goals.

EDX Discover is a central hub for all things transport and storage, making it easier for stakeholders to execute a wide range of T&S projects. The platform hosts tools, datasets, geospatial data, dashboards, and search capabilities (both within and outside EDX) to support users across disciplines and backgrounds and find the right resources to meet their T&S research needs.

The U.S. DOE FE’s T&S Program has supported the preservation and public availability of T&S data products, such as data, models, and tools, for over a decade on EDX. This process has resulted in the preservation and publication of millions of dollars’ worth of research project products, which remain available for validation and reuse to accelerate the Program’s objectives and goals.

First launched in 2011, EDX curates an ever-growing collection of FE products from many programs. Discover helps T&S program stakeholders connect to relevant resources by increasing the visibility of publicly available, authoritative T&S research products both within and outside of DOE FE program products.

eXtremeMAT brings together seven leading U.S. DOE National Laboratories to harness the unparalleled breadth of unique capabilities for materials design, high-performance computing, manufacturing, and characterization that exist across the U.S. DOE complex to accelerate the development of materials for service in extreme environments.

The Geomicrobiology Team at NETL strives to provide insight into microbial processes that will occur in various energy environments, giving guidance to industry on risks driven by microbial processes, potential mitigation strategies, and the potential for the microbiology to be indicative of energy production/performance. The Geomicrobiology Team also strives to support development of a novel strategy that will drastically increase the economic feasibility of reducing, treating, and reusing waste streams in the energy industry.

The NETL National Emissions Reduction Initiative, NEMRI, is focused on providing technical assistance to states participating in the Methane Emissions Reduction Program – aimed at reducing methane emissions from the oil and gas sector through the Inflation Reduction Act under Section 136 of the Clean Air Act.

NETL’s Natural Gas Infrastructure (NGI) Field Work Proposal aims to strengthen natural gas pipeline reliability and reduce emissions on two fronts: quantifying greenhouse gas (GHG) emissions and developing material and sensor technologies that will help to mitigate these emissions. Research in this FWP will also help address the reliability, public safety, operational efficiency, and flexibility of the Nation’s aging natural gas infrastructure.

The National Risk Assessment Partnership (NRAP)—an initiative within DOE’s Office of Fossil Energy and led by the National Energy Technology Laboratory—applies DOE’s core competency in science-based prediction for engineered–natural systems to the long-term storage of carbon dioxide (CO2). NRAP relies on integration of expertise and resources across five national labs (LANL, LBNL, LLNL, NETL, and PNNL).

NETL's Advanced Offshore Research is focused on developing a scientific base for predicting and quantifying potential risks associated with exploration and production in extreme offshore environments. The overarching goal of all projects in the Offshore portfolio is to prevent and improve response efforts related to offshore hydrocarbon spills.

The Critical Minerals Sustainability Program portfolio contains a comprehensive set of all publicly available data that were produced during a Congressionally funded assessment and analysis of the feasibility of economically recovering rare earth elements (REEs) from coal and coal by-product streams such as fly ash, coal refuse, and aqueous effluents. All publicly available datasets are accompanied by supplemental information that provides context on why, where, and how the data were collected.

The Science-based Artificial Intelligence and Machine Learning Institute (SAMI) was established in 2020 and combines the strengths of NETL’s energy computational scientists, data scientists, and subject matter experts with strategic partners to drive solutions to today’s energy challenges. The institute has a vision to leverage science-based models, artificial intelligence, and machine learning (AI/ML) methods, data analytics, and high-performance computing to accelerate applied technology development for clean, efficient, and affordable energy production and utilization.

The U.S. Department of Energy’s (DOE) Office of Fossil Energy and Carbon Management (FECM) will leverage the unique capabilities and demonstrated expertise of three National laboratories—National Energy Technology Laboratory (NETL), Pacific Northwest National Laboratory (PNNL) and Lawrence Livermore National Laboratory (LLNL)—to determine the viability, safety, and reliability of storing pure hydrogen or hydrogen-natural gas blends in subsurface environments.

The Science-informed Machine Learning for Accelerating Real-Time Decisions in Subsurface Applications (SMART) Initiative is a ten-year, multi-organizational effort with the goal of transforming interactions within the subsurface and significantly improving efficiency and effectiveness of field-scale carbon storage and unconventional oil and gas operations.