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Databases, Tools, & Capabilities
NIST hosts an extensive suite of databases, digital tools, and unique experimental capabilities designed to address complex critical mineral and materials challenges. These foundational resources provide stakeholders with the technical and metrological baseline needed to optimize materials management, accelerate alternatives discovery, and scale recovery processes. The specialized capabilities particularly relevant to advancing CMM research are detailed below; please reach out to Kelsea Schumacher with any questions.
Jump to: Materials Data Infrastructure | Measurement, Characterization, and Analysis | Advanced Manufacturing & Processing | Computational Material Science and AI/ML | Economic and Circularity Modeling | Quality Assurance Program Coordination
NIST hosts a comprehensive suite of external-facing databases and registries, including efforts under the Materials Genome Initiative, that can be leveraged to address Critical Minerals and Materials (CMM) challenges. These resources provide the structural and thermophysical data necessary to inform separation, substitution, and material recovery. The table below highlights the specific NIST materials databases applicable to CMMs research.
Digital Tools for CMM Materials Research
Database / Registry (Hyperlinked) | Data Type | Description |
|---|---|---|
Thermodynamic/Kinetic | Infrastructure of files used to predict multi-component behavior, accelerating novel alloy development and processing | |
Computational/AI | Uses Density Functional Theory (DFT) and machine learning to drive data-driven critical materials design | |
Software Platform | Open-source platform used to manage, standardize, and share experimental and computational CMM data via XML schemas | |
Digital Directory | A high-level search tool to discover and navigate NIST’s diverse materials data assets and relevant third-party repositories | |
Experimental Property Data | Web application containing curated thermophysical property datasets for metal systems; critical for optimizing refining and casting | |
Structural Data | Detailed crystallographic data on inorganic compounds; essential for identifying mineral phases via diffraction techniques | |
Open Repository | A centralized hub for hosting, archiving, and sharing FAIR (Findable, Accessible, Interoperable, and Reusable) materials data | |
Phase Equilibria | Standard reference database produced with the American Ceramic Society; used to design chemical extraction and liquid-solid separation processes |
NIST maintains a comprehensive suite of advanced analytical tools and deep expertise in measurement science. The table below summarizes NIST’s existing equipment and methods used for identifying, quantifying, and validating CMMs across diverse feedstocks – from raw ores to complex electronic waste.
NIST's CMM-related Measurement and Analysis Capabilities
Category | Equipment /Method | Function and CMM Application |
|---|---|---|
Advanced Imaging | Total internal reflection (TIR) | Matrix analysis: Maps silicates and carbonates. Essential for analyzing waste rock (gangue) in critical mineral ores. |
Visible and Near-Infrared (VNIR) and Short-Wave Infrared (SWIR) | Mineral ID: Uses reflectance and thermal emission to identify oxides; scalable from microscopic to satellite scales. | |
Atomic & Optical Spectroscopy | Inductively Coupled Plasma Mass Spectrometry (ICP-MS) | Ultra-trace analysis: Isotopic analysis (parts per trillion). High sensitivity for REEs in high-purity or diluted samples. |
Inductively Coupled Plasma Optical Emission Spectroscopy (ICP-OES) | Bulk analysis: Quantitative analysis of major/minor components. Better suited for complex samples like ores and e-waste. | |
X-ray Fluorescence spectroscopy (XRF) | Field screening: Non-destructive chemical identification. Handheld versions allow for rapid field screening of ore grade. | |
Electrochemistry | High-Precision Potentiostat | Reaction kinetics: Precise measurement of metal purity and reaction rates; essential for validating refining processes. |
Spectro-electrochemical Cells | Real-time monitoring: Integrates a potentiostat with Raman/IR to map deposition potential against real-time chemical state. | |
Microscopy & Surface Science | Scanning Electron Microscopy paired with Energy-Dispersive X-ray Spectroscopy (SEM-EDS) | Chemical mapping: High-resolution imaging and local mapping (>100 nm) to identify mineral grains in waste. |
Secondary Ion Mass Spectrometry (SIMS) | Thin film analysis: Analyzes surface composition and thin films; useful for impurity layers in semiconductors. | |
X-ray Microcalorimetry | Spectral resolution: High-resolution X-ray detection to resolve overlapping spectral lines of familial elements like REEs. | |
Nuclear & Neutron Analysis | Instrumental Neutron Activation Analysis (INAA) | Bulk elements and trace impurities: Highly sensitive multi-elemental analysis (ppb). Excellent for quantifying bulk elements and trace impurities in CMM alloys. |
Neutron depth profiling (NDP) | ‘Light’ element profiling: Nominally non-destructive, near-surface neutron method especially sensitive to Li, He, B, N, and Cl. | |
Prompt gamma activation analysis (PGAA) | Bulk elements: Non-destructive analysis of elements like H, B, and Li and other elements that may be difficult to measure with X-rays. | |
Radiochemical Neutron Activation Analysis (RNAA) | Complex matrices: Specialized neutron analysis using post-irradiation chemical separation for lowest detection limits. | |
Physical & Particle Metrology | Cavity Optomechanics | Particle metrology: Uses laser photon pressure to measure mass and density of individual microscopic particles. |
Thermal & Recovery Metrology | Isothermal Titration Calorimetry (ITC) | Binding thermodynamics: Measures heat of chemical binding to determine affinity and stoichiometry for recovery agents. |
Thermogravimetric Analysis coupled with Gas Chromatography-Mass Spectrometry (TGA-GC-MS) | Distillation kinetics: Measures mass loss and gas composition to find activation energies for selective vacuum distillation. |
Neutron Scattering and Structural Characterization: The NIST Center for Neutron Research offers unique, non-destructive capabilities that complement X-ray and other techniques by providing high depth penetration even through X-ray-blocking containers, enabling "in operando" measurements of materials during active processes. Neutrons are uniquely sensitive to magnetic moments and can distinguish between neighboring elements on the periodic table, making them essential for the structural elucidation of magnetic materials, energy storage systems, and advanced alloys. Contact: Craig Brown
NIST’s manufacturing testbeds and materials processing expertise provide a high-fidelity environment for evaluating material performance under industrial conditions. These capabilities can be used to optimize CMM use, facilitate the adoption of recycled feedstocks, and establish the technical basis for industrial-scale recovery.
- Additive Manufacturing (AM) Systems: NIST maintains advanced platforms such as the System for AM Alloy Development (SAMAD), which is capable of site-specific, multi-material deposition. This allows for the precise placement of CMMs only where needed, significantly reducing material requirements. Contact: James Zuback
- Secondary AM feedstock Preparation: NIST possesses small-scale ultrasonic atomization capabilities that can convert irregular or recycled feedstock, such as scrap metal, into spherical powders capable of additive manufacturing. This capability enables the rapid evaluation of secondary material feedstocks as viable manufacturing inputs. Contact: Andrew Iams
- Advanced Deposition and Catalysis: NIST can utilize electrochemical atomic layer deposition to achieve monolayer-level control over material placement. This is particularly relevant for the "thrifty" use of PGMs, where core-shell architectures can be engineered to enhance catalytic performance while using orders of magnitude less precious metal. Contact: Tom Moffat
NIST integrates artificial intelligence, autonomous experimentation, and advanced structural metrology to accelerate the evaluation and validation of solutions to critical materials challenges. These capabilities enable rapid screening of candidate materials, processing pathways, and manufacturing approaches while generating the high-quality data needed to support predictive modeling, industrial adoption, and supply-chain resilience. Contact: Fan Zhang
- AI-Enabled Evaluation of Critical Materials Solutions: NIST leverages artificial intelligence, curated materials databases, and domain expertise to rapidly identify and evaluate potential solutions to critical materials challenges. By combining automated analysis of trusted materials data with expert-guided assessment, NIST can efficiently screen candidate materials, processing pathways, and extraction strategies, accelerating the development and qualification of alternatives to critical materials.
- Autonomous Experimentation Platforms: NIST is developing autonomous experimentation platforms that integrate additive manufacturing, active learning, and high-throughput characterization to efficiently explore complex composition and processing spaces. These capabilities accelerate materials evaluation and process optimization while generating the high-quality data needed to support critical materials applications.
- Dynamic Phase Transformation and Structural Metrology: NIST develops and employs high-speed synchrotron X-ray diffraction and advanced structural metrology to capture microsecond to millisecond-scale phase transformations during non-equilibrium processing. These measurements provide critical data for validating predictive models and understanding the relationships between processing, structure, and performance in critical material systems.
NIST provides foundational data and reference models required for comparative analysis, enabling researchers and industry stakeholders to objectively evaluate competing technology pathways. By supporting the development of standardized, open-source frameworks, NIST ensures that assessments of environmental and economic performance are transparent, interoperable, and reproducible.
- Life Cycle Assessment (LCA): NIST develops reference LCA models and templates to improve the consistency of results. These tools enable comparative analysis of environmental trade-offs across different production and recycling methods. Contact: Joshua Kneifel
- Material Flow Analysis (MFA): NIST provides systematic frameworks to quantify material stocks and flows across global and domestic boundaries. These models help stakeholders identify opportunities for recovered CMM feedstocks. Contact: Nehika Mathur
- Demand Forecasting: Using models like the Bass Diffusion Model, NIST produces datasets to project technology adoption and subsequent material needs. These projections allow for "what-if" scenario planning to compare how emerging technologies will impact long-term material availability. Contact: Nehika Mathur
NIST's Chemical Sciences Division has a long history of coordinating voluntary quality assurance programs (QAPs) to improve measurement accuracy and data comparability across external testing laboratories. Through these programs, NIST distributes performance-testing materials to participants, evaluates the resulting data, and hosts workshops to address community-wide measurement challenges. When paired with physical Standard Reference Materials (SRMs), these exercises help industry and research institutions validate their testing methods and meet strict quality control standards. Read more. Contact: Melissa Meaney Phillips