Results for “Collective behavior” — Page 84

DOE OSTI2023

Dynamic model-based feature extraction for fault detection and diagnosis of a supermarket refrigeration system

With the increasing concerns over climate change and carbon emissions, fault detection and diagnostics (FDD) of low–global warming potential (GWP) refrigerant supermarket refrigeration systems has gained great attention from academic and industrial sectors. Various FDD approaches have been developed to detect, identify, and diagnose faults to save energy, improve food quality, and protect the environment. Here, to mitigate the difficulty of collecting high-quality steady-state operational data in field operations faced by most model-based FDD methods, this study developed dynamic models of a low–GWP refrigerant (CO 2 ) supermarket refrigeration system. The model accuracy was validated using manufacturer data and experimental data. Simulations were conducted to predict the system dynamic response under two common operational faults—evaporator air path blockage fault and the display case door open fault—to identify fault patterns and define key dynamic behavior indexes for supporting FDD algorithm development.

32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATI↗

DOE OSTI2026

FAD-Toolset (Floating Array Design Toolset) [SWR-26-056]

The Floating Array Design (FAD) Toolset is a collection of tools for modeling and designing arrays of floating offshore structures. It was originally designed for floating wind systems but has applicability for many offshore applications. A core part of the FAD Toolset is the floating array model, which serves as a high-level library for efficiently modeling a floating array, such as a floating wind array. It combines site condition information and a description of the floating array design, and contains functions for evaluating the array's behavior considering the site conditions. For example, it combines information about site soil conditions, mooring line loads, and an array's anchor characteristics to estimate the holding capacity of each anchor. The library works in conjunction with the tools RAFT, MoorPy, and FLORIS to model floating platforms, wind turbines, mooring systems, power cables, and array wakes respectively. Layered on top of the floating array model is a set of design tools that can be used for algorithmically adjusting or optimizing parts of the a floating array. Specific tools existing for mooring lines, shared mooring systems, dynamic power cables, static power cable routing, and overall array layout. These capabilities work with the design representation and evaluation functions in the floating array model, and they can be applied by users in various combinations to suit different purposes. In addition to standalone uses of the FAD Toolset, a coupling has been made with Ard, (https://github.com/NLRWindSystems/Ard) a sophisticated and flexible wind farm optimization tool. This coupling allows Ard to use certain mooring system capabilities from FAD to perform layout optimization of floating wind farms with Ard's more advanced layout optimization capabilities. The FAD Toolset works with the IEA Wind Task 49 Ontology (https://github.com/IEAWindTask49/Ontology), which provides a standardized format for describing floating wind farm sites and designs. See example use cases in our examples folder (https://github.com/NLRWindSystems/FAD-Toolset/blob/main/examples/README.md) For working with the library, it is important to understand the floating array model structure, which is described more here: https://github.com/NLRWindSystems/FAD-Toolset/blob/main/fad/README.md.

Sirkis, Leah [National Laboratory of the Rockies (↗

DOE OSTI2026

Towards continual machine learning for particle accelerators

This talk covers our work on errant beam prognostics at the Spallation Neutron Source (SNS), focusing on the end-to-end process from data collection to the development and deployment of predictive models in specific. A short overview of AIML work done for accelerators and current trends will be presented. We will walk through key steps involved in creating robust Machine Learning (ML) models, including model training, validation, and deployment in an operational setting. In addition to presenting our technical approach, we will share valuable lessons learned, emphasizing the importance of infrastructure to support the continuous adaptation of models to evolving data and system behaviors. This talk will provide insights into the challenges and solutions involved in applying ML to real-world operational environments, with a particular focus on managing data drift and changes in accelerator setup while ensuring model resilience over time.

Accelerator Physics↗

NASA NTRS2019

Psychophysiological Monitoring of Aerospace Crew State

As next-generation space exploration missions necessitate increasingly autonomous systems, there is a critical need to better detect and anticipate crewmember interactions with these systems. The success of present and future autonomous technology in exploration spaceflight is ultimately dependent upon safe and efficient interaction with the human operator. Optimal interaction is particularly important for surface missions during highly coordinated extravehicular activity (EVA), which consists of high physical and cognitive demands with limited ground support. Crew functional state may be affected by a number of variables including workload, stress, and motivation. Real-time assessments of crew state that do not require a crewmember’s time and attention to complete will be especially important to assess operational performance and behavioral health during flight. In response to the need for objective, passive assessment of crew state, the aim of this work is to develop an accurate and precise prediction model of human functional state for surface EVA using multi-modal psychophysiological sensing. The psychophysiological monitoring approach relies on extracting a set of features from physiological signals and using these features to classify an operator’s cognitive state. This work aims to compile a non-invasive sensor suite to collect physiological data in real-time. Training data during cognitive and more complex functional tasks will be used to develop a classifier to discriminate high and low cognitive workload crew states. The classifier will then be tested in an operationally relevant EVA simulation to predict cognitive workload over time. Once a crew state is determined, further research into specific countermeasures, such as decision support systems, would be necessary to optimize the automation and improve crew state and operational performance.

Wusk, Grace C.↗

DOE OSTI2020

Observable signatures of initial state momentum anisotropies in nuclear collisions

In this work, we show that the correlation between the elliptic momentum anisotropy v 2 and the average transverse momentum [ p T ] at fixed multiplicity in small system nuclear collisions carries information on the origin of the observed momentum anisotropy. A calculation using a hybrid IP-Glasma+ music +UrQMD model that includes contributions from final state response to the initial geometry as well as initial state momentum anisotropies of the color glass condensate predicts a characteristic sign change of the correlator ρ ^ ( v 2 2 , [ p T ] ) as a function of charged particle multiplicity in p + Au and d + Au collisions at s = 200 GeV , and p + Pb collisions at s = 5.02 TeV . This sign change is absent in calculations without initial state momentum anisotropies. The model further predicts a qualitative difference between the centrality dependence of ρ ^ ( v 2 2 , [ p T ] ) in Au + Au collisions at s = 200 GeV and Pb + Pb collisions at s = 5.02 TeV , with only the latter showing a sign change in peripheral events. Predictions for O + O collisions at different collision energy show a similar behavior. Experimental observation of these distinct qualitative features of ρ ^ ( v 2 2 , [ p T ] ) in small and large systems would constitute strong evidence for the presence and importance of initial state momentum anisotropies predicted by the color glass condensate effective theory.

73 NUCLEAR PHYSICS AND RADIATION PHYSICS↗

DOE OSTI2024

Open-source electrochemical cell for in situ X-ray absorption spectroscopy in transmission and fluorescence modes

X-ray spectroscopy is a valuable technique for the study of many materials systems. Characterizing reactions in situ and operando can reveal complex reaction kinetics, which is crucial to understanding active site composition and reaction mechanisms. In this project, the design, fabrication and testing of an open-source and easy-to-fabricate electrochemical cell for in situ electrochemistry compatible with X-ray absorption spectroscopy in both transmission and fluorescence modes are accomplished via windows with large opening angles on both the upstream and downstream sides of the cell. Using a hobbyist computer numerical control machine and free 3D CAD software, anyone can make a reliable electrochemical cell using this design. Onion-like carbon nanoparticles, with a 1:3 iron-to-cobalt ratio, were drop-coated onto carbon paper for testing in situ X-ray absorption spectroscopy. Cyclic voltammetry of the carbon paper showed the expected behavior, with no increased ohmic drop, even in sandwiched cells. Chronoamperometry was used to apply 0.4 V versus reversible hydrogen electrode, with and without 15 min of oxygen purging to ensure that the electrochemical cell does not provide any artefacts due to gas purging. The XANES and EXAFS spectra showed no differences with and without oxygen, as expected at 0.4 V, without any artefacts due to gas purging. The development of this open-source electrochemical cell design allows for improved collection of in situ X-ray absorption spectroscopy data and enables researchers to perform both transmission and fluorescence simultaneously. It additionally addresses key practical considerations including gas purging, reduced ionic resistance and leak prevention.

08 HYDROGEN↗

DOE OSTI2025

2009 Interstate 95 Express Phase 1A Survey

# 2009 Interstate 95 Express Phase 1A Survey The 2009 Phase 1A Survey focused on commuters using Interstate 95 express lanes between downtown Miami and the Golden Glades Interchange in Florida. Survey participants answered questions about their trip's purpose, frequency, and mode as well as demographics such as their age, race/ethnicity, and income. It also asked if and why or why not they had used Interstate 95 before and/or after the installation of two high-occupancy toll lanes, if they were satisfied with the upgrade, and about their related perceptions of safety. ## Data Collection Agency The survey was conducted by and for the Florida Department of Transportation. ## Survey Methodology The survey was conducted online in May 2009. ## Survey Records, Data, and Documentation Survey records include 9,156 participants.

32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATI↗

DOE OSTI2025

2009 Interstate 95 Express Phase 1A Survey

# 2009 Interstate 95 Express Phase 1A Survey The 2009 Phase 1A Survey focused on commuters using Interstate 95 express lanes between downtown Miami and the Golden Glades Interchange in Florida. Survey participants answered questions about their trip's purpose, frequency, and mode as well as demographics such as their age, race/ethnicity, and income. It also asked if and why or why not they had used Interstate 95 before and/or after the installation of two high-occupancy toll lanes, if they were satisfied with the upgrade, and about their related perceptions of safety. ## Data Collection Agency The survey was conducted by and for the Florida Department of Transportation. ## Survey Methodology The survey was conducted online in May 2009. ## Survey Records, Data, and Documentation Survey records include 9,156 participants.

32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATI↗

DOE OSTI2025

2009 Interstate 95 Express Phase 1A Survey

# 2009 Interstate 95 Express Phase 1A Survey The 2009 Phase 1A Survey focused on commuters using Interstate 95 express lanes between downtown Miami and the Golden Glades Interchange in Florida. Survey participants answered questions about their trip's purpose, frequency, and mode as well as demographics such as their age, race/ethnicity, and income. It also asked if and why or why not they had used Interstate 95 before and/or after the installation of two high-occupancy toll lanes, if they were satisfied with the upgrade, and about their related perceptions of safety. ## Data Collection Agency The survey was conducted by and for the Florida Department of Transportation. ## Survey Methodology The survey was conducted online in May 2009. ## Survey Records, Data, and Documentation Survey records include 9,156 participants.

32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATI↗

DOE OSTI2025

2009 Interstate 95 Express Phase 1A Survey

# 2009 Interstate 95 Express Phase 1A Survey The 2009 Phase 1A Survey focused on commuters using Interstate 95 express lanes between downtown Miami and the Golden Glades Interchange in Florida. Survey participants answered questions about their trip's purpose, frequency, and mode as well as demographics such as their age, race/ethnicity, and income. It also asked if and why or why not they had used Interstate 95 before and/or after the installation of two high-occupancy toll lanes, if they were satisfied with the upgrade, and about their related perceptions of safety. ## Data Collection Agency The survey was conducted by and for the Florida Department of Transportation. ## Survey Methodology The survey was conducted online in May 2009. ## Survey Records, Data, and Documentation Survey records include 9,156 participants.

32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATI↗

DOE OSTI2025

2009 Interstate 95 Express Phase 1A Survey

# 2009 Interstate 95 Express Phase 1A Survey The 2009 Phase 1A Survey focused on commuters using Interstate 95 express lanes between downtown Miami and the Golden Glades Interchange in Florida. Survey participants answered questions about their trip's purpose, frequency, and mode as well as demographics such as their age, race/ethnicity, and income. It also asked if and why or why not they had used Interstate 95 before and/or after the installation of two high-occupancy toll lanes, if they were satisfied with the upgrade, and about their related perceptions of safety. ## Data Collection Agency The survey was conducted by and for the Florida Department of Transportation. ## Survey Methodology The survey was conducted online in May 2009. ## Survey Records, Data, and Documentation Survey records include 9,156 participants.

32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATI↗

DOE OSTI2025

2009 Interstate 95 Express Phase 1A Survey

# 2009 Interstate 95 Express Phase 1A Survey The 2009 Phase 1A Survey focused on commuters using Interstate 95 express lanes between downtown Miami and the Golden Glades Interchange in Florida. Survey participants answered questions about their trip's purpose, frequency, and mode as well as demographics such as their age, race/ethnicity, and income. It also asked if and why or why not they had used Interstate 95 before and/or after the installation of two high-occupancy toll lanes, if they were satisfied with the upgrade, and about their related perceptions of safety. ## Data Collection Agency The survey was conducted by and for the Florida Department of Transportation. ## Survey Methodology The survey was conducted online in May 2009. ## Survey Records, Data, and Documentation Survey records include 9,156 participants.

32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATI↗

DOE OSTI2025

2009 Interstate 95 Express Phase 1A Survey

# 2009 Interstate 95 Express Phase 1A Survey The 2009 Phase 1A Survey focused on commuters using Interstate 95 express lanes between downtown Miami and the Golden Glades Interchange in Florida. Survey participants answered questions about their trip's purpose, frequency, and mode as well as demographics such as their age, race/ethnicity, and income. It also asked if and why or why not they had used Interstate 95 before and/or after the installation of two high-occupancy toll lanes, if they were satisfied with the upgrade, and about their related perceptions of safety. ## Data Collection Agency The survey was conducted by and for the Florida Department of Transportation. ## Survey Methodology The survey was conducted online in May 2009. ## Survey Records, Data, and Documentation Survey records include 9,156 participants.

32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATI↗

DOE OSTI2025

2009 Interstate 95 Express Phase 1A Survey

# 2009 Interstate 95 Express Phase 1A Survey The 2009 Phase 1A Survey focused on commuters using Interstate 95 express lanes between downtown Miami and the Golden Glades Interchange in Florida. Survey participants answered questions about their trip's purpose, frequency, and mode as well as demographics such as their age, race/ethnicity, and income. It also asked if and why or why not they had used Interstate 95 before and/or after the installation of two high-occupancy toll lanes, if they were satisfied with the upgrade, and about their related perceptions of safety. ## Data Collection Agency The survey was conducted by and for the Florida Department of Transportation. ## Survey Methodology The survey was conducted online in May 2009. ## Survey Records, Data, and Documentation Survey records include 9,156 participants.

32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATI↗

DOE OSTI2025

2009 Interstate 95 Express Phase 1A Survey

# 2009 Interstate 95 Express Phase 1A Survey The 2009 Phase 1A Survey focused on commuters using Interstate 95 express lanes between downtown Miami and the Golden Glades Interchange in Florida. Survey participants answered questions about their trip's purpose, frequency, and mode as well as demographics such as their age, race/ethnicity, and income. It also asked if and why or why not they had used Interstate 95 before and/or after the installation of two high-occupancy toll lanes, if they were satisfied with the upgrade, and about their related perceptions of safety. ## Data Collection Agency The survey was conducted by and for the Florida Department of Transportation. ## Survey Methodology The survey was conducted online in May 2009. ## Survey Records, Data, and Documentation Survey records include 9,156 participants.

32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATI↗

DOE OSTI2025

2009 Interstate 95 Express Phase 1A Survey

# 2009 Interstate 95 Express Phase 1A Survey The 2009 Phase 1A Survey focused on commuters using Interstate 95 express lanes between downtown Miami and the Golden Glades Interchange in Florida. Survey participants answered questions about their trip's purpose, frequency, and mode as well as demographics such as their age, race/ethnicity, and income. It also asked if and why or why not they had used Interstate 95 before and/or after the installation of two high-occupancy toll lanes, if they were satisfied with the upgrade, and about their related perceptions of safety. ## Data Collection Agency The survey was conducted by and for the Florida Department of Transportation. ## Survey Methodology The survey was conducted online in May 2009. ## Survey Records, Data, and Documentation Survey records include 9,156 participants.

32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATI↗

DOE OSTI2025

2009 Interstate 95 Express Phase 1A Survey

# 2009 Interstate 95 Express Phase 1A Survey The 2009 Phase 1A Survey focused on commuters using Interstate 95 express lanes between downtown Miami and the Golden Glades Interchange in Florida. Survey participants answered questions about their trip's purpose, frequency, and mode as well as demographics such as their age, race/ethnicity, and income. It also asked if and why or why not they had used Interstate 95 before and/or after the installation of two high-occupancy toll lanes, if they were satisfied with the upgrade, and about their related perceptions of safety. ## Data Collection Agency The survey was conducted by and for the Florida Department of Transportation. ## Survey Methodology The survey was conducted online in May 2009. ## Survey Records, Data, and Documentation Survey records include 9,156 participants.

32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATI↗

DOE OSTI2023

MDDC Multi-Length Scale Data Architecture Contribution Report – PNNL, INL, ANL, LANL and ORNL

This report offers a comprehensive view of data streams currently generated at Pacific Northwest National Laboratory, Idaho National Laboratory, Argonne National Laboratory, Los Alamos National Laboratory, and Oak Ridge National Laboratory set to integrate into the evolving Multi-Dimensional Data Correlation framework at Oak Ridge National Laboratory. Developed by the Advanced Materials and Manufacturing Technologies program, the Multi-Dimensional Data Correlation framework serves as a cutting-edge software to manage data relevant to advanced manufacturing and material behavior in advanced reactors. The report defines data streams, highlights their generation methods and visualization methods both for experimental and computational aspects relevant to the Advanced Materials and Manufacturing Technologies project. A logical next step for this work is to integrate the MDDC framework into PNNL’s, INL’s, ANL’s, LANL’s and ORNL’s fabrication, experimentation, and modelling workflows. This would require setting up the MDDC framework at PNNL, INL, ANL, and LANL and integrating it into the data collection and storage for these different activities.

36 MATERIALS SCIENCE↗