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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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WiP: Verification of Cyber Emulation Experiments Through Virtual Machine and Host Metrics.
Abstract not provided.
Evaluation of the GaAs Displacement Damage Metric using Updated Nuclear Data.
Abstract not provided.
Sound quality metrics for improved prediction of hospital sleep disruption.
Abstract not provided.
Quality over Quantity: Meaningful Metrics for Qualifying MoS2 Coatings.
Abstract not provided.
Uncertainty Considerations that Impact the Use of Dosimetry Metrics in Modern Semiconductors.
Abstract not provided.
Multimodal Bayesian Registration of Noisy Functions Using an Elastic Metric.
Abstract not provided.
Verification of Cyber Emulation Experiments Through Virtual Machine and Host Metrics.
Abstract not provided.
The Impact of Co-Located Clusters of Inverter-Based Resources on a Performance-Based Regulation Market Metric.
Abstract not provided.
Using Complexity Metrics with Hotspot Analysis to Support Software Sustainability.
Abstract not provided.
Metrics for Packing Efficiency and Fairness of HPC Cluster Batch Job Scheduling .
Abstract not provided.
Quantifying Uncertainty in Aggregate Evaluation Metrics for Foundation Models [Presentation]
Abstract not provided.
Monsoon Extremes: Impacts, Metrics, and Synoptic-Scale Drivers
This project was led by UC Berkeley with a subcontract to UC Davis and collaborative funding at the Lawrence Berkeley National Lab (LBNL). It produced new understanding of transient atmospheric disturbances in monsoon regions, the precipitation extremes they produce, and the sensitivity of precipitation and monsoon winds to fine-scale orography (i.e., the narrow mountain ranges that are difficult to represent in conventional Earth system models). Fundamental research undertaken as part of this project led to discovery of new mechanisms that control the generation of extreme weather events and that govern the spatial patterns of intense precipitation in monsoon climates—including the North American monsoon. These research accomplishments are summarized below and documented in a series of 23 publications, 20 of which were led by project personnel (the others were collaborative work led by staff of other projects). One of the publications produced by this project was in Nature, where it was selected for the main cover image, and another was in PNAS. The project also produced two datasets and a tracking algorithm, both of which are publicly available and listed below. The project trained three Ph.D. students and four postdoctoral scientists, the vast majority of whom have progressed to more advanced positions in their scientific careers. Although the university funding for this project ended in 2022, the LBNL component of the project proceeded for almost one year longer; this report is being provided after completion of all components of the project.
FedFleet 2024: Fleet Data Quality - Understanding and Improving Your Agency's FAST Fleet Data Quality Metric? [Slides]
This presentation presents an overview of how the team supporting the Federal Automotive Statistical Tool (FAST) project for DOE and GSA view and assess the quality of fleet data submissions from federal agencies. It also discusses ways in which agencies can improve the quality of their fleet data and of their fleet data submissions. FAST is a web-based information system sponsored by GSA's Office of Government-wide Policy and DOE's Federal Energy Management Program to collect information about the US federal government's fleet of motor vehicles; FAST is developed, maintained, and supported by DOE's Idaho National Laboratory (INL).
MEP Metric Correlations with Socioeconomic and Built Environment Factors [Slides]
NREL's Mobility Energy Productivity tool, or MEP, quantifies the ability of an area's transportation system to connect individuals to goods, services, employment opportunities, and other activities while accounting for time, cost, and energy. However, the MEP tool itself does not examine correlations between mobility energy productivity and other sociodemographic and built environment variables relevant to the urban and transportation planning space. Examining these correlations could have two possible implications -- first, understanding what factors correlate with mobility energy productivity could help urban planners make equitable decisions in allocating transportation resources. Second, as the MEP has not been calculated for all urban areas in the US and is computationally expensive, if other publicly available variables were predictive enough of MEP then a simple model could be used to predict MEP instead of having to compute it for an area for which it has not been updated. A statistical analysis to investigate both of these questions is presented, with many significant associations found between the MEP and identified variables of interest.
DOE BSSD Performance Management Metrics Report Q3
Microbiome data is complex, spanning information from microbial genomes within diverse communities, protein and metabolite readouts, and contextual information (metadata) captured from the environments from which these samples were collected. While the variety and scale of microbiome data generation has dramatically expanded over the past twenty years, infrastructure to support data management, sharing, and access has lagged. New ways to improve interoperability across existing resources and advancing community standards are necessary to support how researchers create, use, and reuse data. The National Microbiome Data Collaborative (NMDC) aims to advance a microbiome data sharing network through infrastructure, data standards, and community building.
Supporting Software Sustainability by Using Complexity Metrics to Inform Code Reviews
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