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Design-Enabling Nuclear Data Evaluation

OrganiCore will partner with ORNL to leverage its Spallation Neutron Source (SNS), machine-learning-enabled molecular dynamics capabilities, and prior successful TSL validation work for reactor materials to generate and validate the required nuclear data. The project will create critical-path nuclear data needed to support the design, safety analysis, and licensing of organic-cooled small modular reactors (SMRs).

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Domestic Uranium Conversion by a Zero-F2 Process

Raven-Flint will work with Idaho National Laboratory (INL) to develop an integrated mass-balance, MC&A, and supporting stream-characterization for the Raven-Flint pilot plant. This will utilize INLs operating-scale UF₆ conversion expertise and advanced radiochemistry and analytical capabilities. INL’s combination of subject-matter expertise, radiological authority, and analytical instrumentation enables the development of NRC-credible MC&A and stream-characterization methodologies essential for commercial licensing.

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Overcoming the Material-Growth Barrier for Fabrication

Srijan will work with Sandia National Laboratories (SNL) to grow thick-film hBN using carbon-free precursors such as boron tribromide and borazine, enabling the material quality needed for neutron detector applications. SNL possesses specialized chemical vapor deposition (CVD) reactor facilities and expertise in carbon-free hBN epitaxial growth that are unavailable commercially and the laboratory’s advanced characterization capabilities, including XRD, SIMS, and Raman spectroscopy, are also essential for validating impurity levels and semiconductor performance.

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Investigating Moisture Carryover Behavior

Constellation proposes to partner with Oak Ridge National Laboratory (ORNL) to apply high-fidelity multiphysics modeling and high-performance computing to improve predictive understanding of MCO phenomena. ORNL will utilize the Virtual Environment for Reactor Applications (VERA) and complementary computational fluid dynamics simulations to analyze historical operating cycles and identify core- and bundle-level mechanisms driving carryover.

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Uncertainty Quantification and Sensitivity Analysis Support

NANO proposes to partner with Oak Ridge National Laboratory (ORNL) to apply the SCALE/TSUNAMI code suite to quantify the impact of nuclear data, modeling assumptions, and operational parameters on key reactor physics metrics, including reactivity, power distribution, and temperature coefficients. ORNL’s NRC-recognized analytical tools and expertise will enable development of a validated UQ framework tailored to the KRONOS design.

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Verification of Autonomous Operation and Remote Monitoring Capabilities

NuCube proposes to partner with Argonne National Laboratory (ANL) to verify an autonomous control architecture using a Digital Twin of the DeccaCell reactor. ANL will adapt its existing autonomous operation and diagnostics framework to demonstrate automated startup, remote monitoring, islanding-mode transitions, and predictive maintenance within a validated simulation environment. The project will generate a technically defensible basis for reduced staffing models and support future DOE and NRC licensing engagement.

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High-Temperature Pipe Wall-Thickness Detection System

Nuclear AI will partner with Pacific Northwest National Laboratory (PNNL) to utilize the capabilities for the Nondestructive Evaluation Unit of the Engineering Materials group. PNNL will use high-temperature furnace infrastructure, ultrasonic PZT sensor components, and high precision prototyping equipment to demonstrate the efficacy of a high temperature pipe wall thickness detector. The ability to perform inspections and vet structural integrity at these temperatures would support advanced reactor inspection programs for piping and vessel components.

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Development of High-Purity Graphite Matrix for Nuclear TRISO Fuel

Orbia Fluor will partner with Oak Ridge National Laboratory (ORNL) to produce and test Orbia produced purified graphite feedstock for use in nuclear applications. ORNL has unique capabilities for TRISO relevant graphite matrix fabrication, machining, and nuclear materials testing under qualified procedures. Under this project, Orbia will produce purified feedstock powders and graphite matrix with the support of ORNL and then ORNL will test the produced graphite to assess the viability of meeting nuclear standards. This work will help build domestic capabilities to purify graphite feedstock for nuclear energy.

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Modeling of Realistic Spatially Resolved 3D TRISO Particles in Compact

Idaho National Laboratory (INL) has developed state-of-the-art modeling and simulation tools for advanced TRISO particle-based fuels using BISON code. AT will partner with INL to extend the BISON fuel-performance code so it can practically model 3D TRISO particle distributions in UCO TRISO compacts, capturing particle–particle and particle–matrix interactions needed for supporting commercial operations of BWXT’s TRISO fuel for the nuclear industry.

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