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Search indexed NASA NTRS and DOE OSTI research on propulsion, heat transfer, battery materials and energy systems. Follow report and document links to the original sources.
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Fast skeletal myosin-binding protein-C regulates fast skeletal muscle contraction
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Blockchain smart contracts for energy markets
A successful architecture that depicts the relationship between the energy market engineering requirements and blockchain requirements (shown as enablers). Software includes sequential and relational architectures supported by the UML flow diagrams. For a successful blockchain agnostic implementation of energy markets, the proposed architecture/blueprint supported by prototype implementation is very efficient. The proposed invention also depicts various means of the use of blockchain technology for energy market systems.
Managed Category for Construction (MCC) On Boarding: Part 2 - The Master Contract [Slides]
Abstract not provided.
MCC On Boarding Contract Structure and Section Review [Slides]
Abstract not provided.
Accomplishments of Sandia and Kitware CMake/CTest/CDash Contract for (FY2017-2020)
We describe the accomplishments jointly achieved by Kitware and Sandia over the fiscal years 2016 through 2020 to benefit the Advanced Scientific Computed (ASC) Advanced Technology Development and Mitigation (ATDM) project. As a result of our collaboration, we have improved the Trilinos and ATDM application developer experience by decreasing the time to build, making it easier to identify and resolve build and test defects, and addressing other issues . We have also reduced the turnaround time for continuous integration (CI) results. For example, the combined improvements likely cut the wall clock time to run automated builds of Trilinos posting to CDash by approximately 6x or more in many cases. We primarily achieved these benefits by contributing changes to the Kitware CMake/CTest/CDash suite of open source software development support tools. As a result, ASC developers can now spend more time improving code and less time chasing bugs. And, without this work, one can argue that the stabilization of Trilinos for the ATDM platforms would not have been feasible which would have had a large negative impact on an important internal FY20 L1 milestone.
8 Ft Vessel Refinishing Contract Introduction [Slides]
LANL utilizes spherical vessels for numerous basic science, materials, and system performance experiments. The 8 ft vessel was fabricated in the early 2000s to ASME B&PVC Section VIII Division 1 using HSLA-100 material. This vessel was not used operationally due to programmatic change in direction. Years of improper maintenance and storage has resulted in deterioration of sealing surfaces and bolt hole threads. New mission needs call for expanded capabilities in terms of vessel sizes, therefore refinishing the 8ft vessel is crucial.
MDMi contract discussion and preliminary information for planning
LANL will work on getting MDMi access to an NSE Granta instance.
Final Report in Response to ARPA-E Contract Award Number DE-AR0001157
Autonomous operations and maintenance (O&M) by robots has been identified as a key technology to facilitate both the safe operation, and reduced operational costs associated with future nuclear reactors. Radiation and thermal environments, particularly associated with molten salt reactor designs, excludes the use of human proximity and so there is a need to train robots for tasks that have not yet been fully identified, or for accidents that may occur in the future. This program sought to develop a generic methodology that could be applied to train ‘any’ robot, to perform ‘any’ task, through the use of machine learning (ML) training performed in a virtual reality (VR) environment that simulates the physically perceived task(s). The VR environment allows us to construct ‘any’ future task and the ML approach, which included reinforcement learning (RL), allowed us to generate extensive data sets that can be used to establish control algorithms to thereby control the physical robot in the physical environment.
Securing Digital Energy Infrastructure: Procurement, Contracting, and Supply Chain Risk Management Guidance
Recognizing the scale of this industry challenge, the United States (U.S.) Department of Energy (DOE) Grid Deployment Office (GDO) and Cybersecurity Energy Security & Emergency Response office have launched a multi-year BESS supply chain security initiative to identify consequence-driven approaches to addressing BESS supply chain security and provide resources to support prioritization of supply chain security efforts associated with the procurement of BESS equipment and services. This guide is one element of the supporting resources to be provided and sets forth a framework and guidance for procurement bidding, selection, risk analysis, and agreements stakeholders can implement to mitigate cybersecurity risks across the entirety of battery system component ecosystem, including the interconnected software and hardware required for control and monitoring BESSs.
Simulating Matrix Thermal Contraction and Stochastic Fracture Networks in Enhanced Geothermal Systems Using PFLOTRAN
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Smart Contracts in the Synchronic Web
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Distributed Model-Based Diffusion: Finite Horizon Contraction under Bounded Delay
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Tensor Contraction and Operation Minimization for Extreme Scale Computational Chemistry
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