Join us for the second in-person, national-laboratory led Digital Engineering conference, which will feature guest speakers from across the digital industry and provide an opportunity to foster collaborations that will enhance our nation’s digital future with discussions on:
Current keynote speakers include Daniel Hettema, Candice Ling, Harlan Bowers, and Geri Richmond.
In person registration is now closed, but you can still attend virtually. Please fill out the registration form and we will email you the links to the main event and breakout sessions by close of business on April 29.
For questions contact [email protected]
The DICE Digital Engineering Conference 2024 featured guest speakers from across the digital industry. This year we’ve added a playlist with featured presentations recorded during the Conference. Those can be viewed by clicking on the YouTube link below.
| Topic | Presentation Link | |
|---|---|---|
| Opening keynote | X-energy and Incorporation of Digital Engineering | /content/uploads/3/2024/11/Harlan-Bowers_X-Energy.pdf |
| Topic | Presentation Link | |
|---|---|---|
| Digital Twin Applications | Design, Construction and Operation of Advanced Infrastructure Systems: A Digital Engineering Approach - Maria Eduarda and Montezzo Coelho | /content/uploads/3/2024/11/Maria-Coelho_Design-Construction-and-Operation-of-Advanced-Infrastructure-Systems_-A-Digital-Engineering-Approach.pdf |
| Digital Twin Applications | A Digital Twin Approach to Support Real-time Situational Awareness and Intelligent Cyber-physical Control in Energy Smart Buildings - Haowen Xu | /content/uploads/3/2024/11/Haowen-Xu_A-Digital-Twin-Approach-to-Support-Real-time-Situational-Awareness-and-Intelligent-Cyber-Physical-Control-in-Energy-Smart-Buildings.pdf |
| Digital Twin Applications | A Machine-Learning Pipeline for Digital Twins - Tom Conley | /content/uploads/3/2024/11/Thomas-Conley_Machine-Learning-Pipelines-for-Digital-Twins.pdf |
| Digital Twin Applications | Development and Maintenance of a Digital Twin over the Life Cycle of an Engineered System - Richard Vilim | /content/uploads/3/2024/11/Richard-Vilim_Development-And-Maintenance-Of-A-Digital-Twin-Over-The-Life-Cycle-Of-An-Engineered-System.pdf |
| Digital Twin Applications | Development of a Digital Twin for DLP-Printed Ceramics - Donna Guillen | /content/uploads/3/2024/11/Donna-Guillen_Development-of-a-digital-twin-for-digital-light-process-printed-ceramics.pdf |
| Digital Twin Applications | Real-time power dispatch optimization for Integrated Energy Systems - Haoyu Wang | /content/uploads/3/2024/11/Haoyu-Wang_Real-Time-Power-Dispatch-Optimization-For-Integrated-Energy-Systems.pdf |
| Artificial Intelligence and Machine Learning | Predicting the comminution of lignocellulosic biomass: Physical experiment, population balance model, and deep learning - Yidong Xia | /content/uploads/3/2024/11/Yidong-Xia_Predicting-biomass-comminution_-Physical-experiment-population-balance-model-and-deep-learning.pdf |
| Artificial Intelligence and Machine Learning | Machine learning and artificial intelligence (AI/ML) for materials modeling - Madison Wenzlick | /content/uploads/3/2024/11/Madison-Wenzlick_AI-ML-challenges-and-opportunities-in-materials-development.pdf |
| Artificial Intelligence and Machine Learning | The utility of incorporating AI at a variety of stages in the material synthesis feedback loop, from data analysis to guiding experiment - Hilary Egan | /content/uploads/3/2024/11/Hilary-Egan_Al-for-material-synthesis_-From-data-analysis-to-guiding-experiment.pdf |
| Artificial Intelligence and Machine Learning | Additive manufacturing (AM) techniques for metal alloys are revolutionizing product design and manufacturing - Stephen DeWitt | /content/uploads/3/2024/11/Stephen-DeWitt_Additive-manufacturing-process-planning-and-optimization-through-the-combination-of-simulations-in-situ-characterization-and-Bayesian-algorithms.pdf |
| Artificial Intelligence and Machine Learning | Accelerating Community Clean Energy Transitions with Generative AI - Patrick Emami | /content/uploads/3/2024/11/Patrick-Emami_Accelerating-Community-Clean-Energy-Transitions-with-Generative-AI.pdf |
| Artificial Intelligence and Machine Learning | Applications of generative AI techniques to support high performance computing operations at Idaho National Laboratory - Kaylee Dalton | /content/uploads/3/2024/11/Kaylee-Dalton_Enhancing-High-Performance-Computing-HPC-User-Support-with-an-AI-Assistant-through-a-Science-Gateway.pdf |
| Model Based System Engineering | Security Inclusive MBSE Tools for Nuclear Reactor Development - Joe Mahanes | /content/uploads/3/2024/11/Joseph-Mahanes_Security-Inclusive-MBSE-Tools-for-Nuclear-Reactor-Development.pdf |
| Model Based System Engineering | SparSensing - Mohammad Abdo | /content/uploads/3/2024/11/Mohammad-Abdo_Sparse-Sensing-and-Sparse-Learning-for-Nuclear-Digital-Twins_-Applications.pdf |
| Model Based System Engineering | Harnessing MBSE for Unified System Architecture in Advanced Energy Systems - Ricardo Martinez | /content/uploads/3/2024/11/Ricardo-Martinez_Harnessing-MBSE-for-Unified-System-Architecture-in-Advanced-Energy-Systems.pdf |
| Model Based System Engineering | Model Based Systems Engineering (MBSE): Strategically Advancing the Maturity at Sandia National Labs - Casey Noll & Johan Valcarel | /content/uploads/3/2024/11/Casey-Noll_Model-Based-Systems-Engineering-MBSE-%E2%80%93-Strategically-Advancing-the-Maturity-at-Sandia-National-Labs.pdf |
| Model Based System Engineering | Assessing Methods to Increase the Value-Added Interplay between MBSE and Detailed - Brian Selvy Design | /content/uploads/3/2024/11/Brian-Selvy_Assessing-Methods-to-Increase-the-Value-Added-Interplay-Between-MBSE-and-Detailed-Design-Tools.pdf |
| Topic | Presentation Link | |
|---|---|---|
| Digital Thread and Computing | Integrating Sandia’s Digital Thread into the larger Enterprise - Evan Richardson | /content/uploads/3/2024/11/Evan-Richardson_Integrating-Sandias-Digital-Thread-into-the-Larger-Enterprise.pdf |
| Digital Thread and Computing | The Promise and Reality of the Digital Thread Insights from Industry Research - James Roche | /content/uploads/3/2024/11/James-Roche_The-Promise-and-Reality-of-the-Digital-Thread_-Insights-from-Industry-Research.pdf |
| Digital Thread and Computing | Data Integration: What's the right tool for my use case? - Peter Chandler | /content/uploads/3/2024/11/Peter-Chandler_Guide-To-Selecting-A-Data-Integration-Framework.pdf |
| Digital Thread and Computing | Developing an Engineering Digital Thread using DeepLynx - Adam Fagan | /content/uploads/3/2024/11/Adam-Fagan_Developing-an-Engineering-Digital-Thread-Using-DeepLynx.pdf |
| Digital Thread and Computing | Digital Beam Forming System: From Requirements to Mission Verification - Sunil Acharya | /content/uploads/3/2024/11/Sunil-Acharya_Digital-Beam-Forming-System-From-Requirements-to-Mission-Verification.pdf |
| Digital Thread and Computing | Integrating simulation within a PLM-based digital thread - Justin Rey | /content/uploads/3/2024/11/Justin-Rey_Simulation-based-Digital-Threads-for-High-Diversity-Prototyping.pdf |
| Decision Science and Visualization | Digital Engineering strategies to achieve net-zero carbon emissions for buildings, vehicles, operations, and vendors by 2031 - Nathan Woodruff | /content/uploads/3/2024/11/Nathan-Woodruff_Net-Zero-Engineering-Support-Tool-NEST.pdf |
| Decision Science and Visualization | Leveraging the high-fidelity 3D visualization environment to exploit complex wideband radar imagery (OMEGA Project) - John Ploschnitznig | /content/uploads/3/2024/11/John-Ploschnitznig_Leveraging-the-high-fidelity-3D-visualization-environment-to-exploit-complex-wideband-radar-imagery-The-OMEGA-Project.pdf |
| Decision Science and Visualization | Integrating Probabilistic Risk Assessment Models with the Digital Engineering Ecosystem - Andrew Clark | /content/uploads/3/2024/11/Andrew-Clark_ntegrating-Probabilistic-Risk-Assessment-Models-with-the-Digital-Engineering-Ecosystem.pdf |
| Decision Science and Visualization | Demonstration Platform for Control Method Evaluation - Maria Eduarda and Montezzo Coelho | /content/uploads/3/2024/11/Maria-Coelho_Demonstration-Platform-for-Control-Method-Evaluation.pdf |
| Decision Science and Visualization | Digital Acquisition - Digital Prototypes and Executable Models for Proposal Evaluation - John Thompson | /content/uploads/3/2024/11/John-Thompson_Digital-Acquisition-%E2%80%93-Digital-Prototypes-and-Executable-Models-for-Proposal-Evaluation.pdf |
| Instrumentation, Controls, and Cyber Resilience | Virtual infrastructure twin of scanning transmission electron microscopes and computing platforms at different facilities at Oak Ridge National Laboratory - Nageswara Rao | /content/uploads/3/2024/11/Nageswara-Rao_Digital-Twins-of-Science-Instrument-Computing-Ecosystems-for-Software-Development-and-Testing.pdf |
| Instrumentation, Controls, and Cyber Resilience | Current challenges and potential solutions for the formal verification of cyber-physical systems - Daniel Cole | /content/uploads/3/2024/11/Daniel-Cole_Formally-proving-characteristics-of-cyber-physical-systems.pdf |
| Instrumentation, Controls, and Cyber Resilience | Systems-Theoretic Process Analysis - Mauricio Gutierrez | /content/uploads/3/2024/11/Mauricio-Gutierrez_Development-And-Maintenance-Of-A-Digital-Twin-Over-The-Life-Cycle-Of-An-Engineered-System.pdf |
| Instrumentation, Controls, and Cyber Resilience | Cyber-Informed Engineering: Integrating Cybersecurity into Digital Engineering - Sin Ming Loo | /content/uploads/3/2024/11/Sin-Ming-Loo_Cyber-Informed-Engineering_-Integrating-Cybersecurity-Into-Digital-Engineering.pdf |
| Instrumentation, Controls, and Cyber Resilience | Mixed Reality Training: Opportunities and Challenges - Derek Hansen, Steve Francis, and Ezra Bradley | /content/uploads/3/2024/11/Derek-Hansen_Mixed-Reality-Training_-Opportunities-and-Challenges.pdf |
| Topic | Presentation Link | |
|---|---|---|
| Afternoon keynote | Art-of-the-Possible in leveraging AI to accelerate time-to-mission (Federal Government) | /content/uploads/3/2024/11/Candice-Ling_Microsoft-Federal.pdf |
| Topic | Presentation Link | |
|---|---|---|
| Digital Twins Applications | Technical approaches are critical towards adoption and implementation of digital twins enabling technologies in currently operating and future reactors - Vaibhav Yadav | /content/uploads/3/2024/11/Vaibhav-Yadav_onsiderations-and-Challenges-with-Artificial-Intelligence-in-Nuclear-Digital-Twin-Applications.pdf |
| Digital Twins Applications | The Tactical Emulation for Software-in-the-Loop Assessment (TESLA) - James Nutaro | /content/uploads/3/2024/11/Jim-Nutaro_Tactical-Emulation-for-Software-in-the-Loop-TESLA.pdf |
| Digital Twins Applications | Idaho State University's 5-W AGN-201 reactor - Jaden Palmer | /content/uploads/3/2024/11/Jaden-Palmer_Utilizing-Physics-Informed-Synthetic-Data-To-Predict-Reactor-Operations-of-the-AGN-201-Reactor.pdf |
| Digital Twins Applications | A digital-twin enabled operation framework for integrated energy systems - Maria Eduarda and Montezzo Coelho | /content/uploads/3/2024/11/Maria-Coelho_Digital-Twin-Enabled-Operation-Framework-for-Integrated-Energy-Systems.pdf |
| Digital Twins Applications | Digital twin and extended reality capabilities for the Beartooth testbed - Kaleb Houck | /content/uploads/3/2024/11/Kaleb-Houck_SNM-Operator-Training-Using-Digital-Twin-and-Extended-Reality.pdf |
| Artificial Intelligence and Machine Learning | Understanding Deep Learning - Tom Conley | /content/uploads/3/2024/11/Thomas-Conley_Understanding-Deep-Learning-in-AI.pdf |
| Artificial Intelligence and Machine Learning | A first-of-a-kind condition monitoring framework for complex systems - Yeni Li | /content/uploads/3/2024/11/Yeni-Li_A-First-of-Kind-Condition-Monitoring-Framework-For-Complex-Systems.pdf |
| Artificial Intelligence and Machine Learning | The field of machine learning operations (MLOps) - Brandon Biggs | /content/uploads/3/2024/11/Brandon-Briggs_The-field-of-Machine-Learning-Operations-MLOps.pdf |
| Artificial Intelligence and Machine Learning | An alternative, machine learning (ML)-based method for state space exploration - Adam Giammarese | /content/uploads/3/2024/11/Adam-Giammarese_An-alternative-machine-learning-ML-based-method-for-state-space-exploration.pdf |
| Artificial Intelligence and Machine Learning | YOLO: A state-of-the-art deep learning model renowned for its real-time object detection - Randall Reese | /content/uploads/3/2024/11/Randall-Reese_You-only-look-once-YOLO-and-Radio-Frequency-Signal-Analysis.pdf |
| Model Based System Engineering | Oklo’s approach of holistic simulation of nuclear systems - Clyde Huibregtse | /content/uploads/3/2024/11/Clyde-Huibregtse_Oklos-Approach-to-Holistic-Simulation-of-Nuclear-Reactors_-Multiphysics.pdf |
| Model Based System Engineering | Model-Based System Engineering for Parametric and Performance Analyses of an Aircraft Engine - Walter Schwarz | /content/uploads/3/2024/11/Walter-Schwarz_Model-Based-System-Engineering-for-Parametric-and-Performance-Analyses-of-an-Aircraft-Engine.pdf |
| Model Based System Engineering | A convolutional neural network model was then developed to predict microstructural properties from low-resolution microstructural data - William Epting | /content/uploads/3/2024/11/William-Epting_Rapid-Assessment-and-Optimization-of-SOC-Electrodes-from-Low-Resolution-Data-Using-Machine-Learning-and-Computer-Vision.pdf |
| Model Based System Engineering | Supporting Test Series with Digital Engineering - Hannah Ekblad | /content/uploads/3/2024/11/Hannah-Ekblad_MBSE-Test-Evaluation_-Supporting-Test-Series-with-Digital-Engineering.pdf |
| Model Based System Engineering | MBSE principles and tools to support decisions in energy systems - Svetlana Lawrence | /content/uploads/3/2024/11/Svetlana-Lawrence_MBSE-to-Support-Decisions-for-Energy-Systems.pdf |
| Model Based System Engineering | From machine learning to machine reasoning: a model-based system engineering perspective - Diego Mandelli | /content/uploads/3/2024/11/Diego-Mandelli_From-Machine-Learning-to-Machine-Reasoning_-A-Model-Based-System-Engineering-Perspective.pdf |
| Topic | Presentation Link | |
|---|---|---|
| Digital Twins Tools | Digital Engineering is more than just tools – A tool vendor’s perspective - Tony Davenport | /content/uploads/3/2024/11/Tony-Davenport_Digital-Engineering-is-More-Than-Just-Tool.pdf |
| Digital Twins Tools | BOMs, knitting them into the next phase of the data mesh ecosystem, anticipating the need for well-defined DevSecOps environmental control components - Erica Dretzka | /content/uploads/3/2024/11/Erica-Dretzka_Context-Aware-Data-Mesh.pdf |
| Digital Twins Tools | National Academies Report on Digital Twins - Conrad Grant and Irene Qualters | /content/uploads/3/2024/11/Conrad-Grant_Foundational-Research-Gaps-and-Future-Directions-for-Digital-Twins.pdf |
| Digital Twins Tools | NASA Goddard Space Flight Center (GSFC) is home to the largest organization of scientists, engineers, and technologists across NASA - Aaron Comis | /content/uploads/3/2024/11/Aaron-Comis_Digital-Thread_-The-Connective-Tissue-of-Our-Evolving-Digital-Ecosystem.pdf |
| Digital Twins Tools | Digital Engineering for Electric Vehicle Development - Walter Schwarz | /content/uploads/3/2024/11/Walter-Schwarz_Digital-Engineering-for-Electric-Vehicle-Development.pdf |
| Digital Twins Tools | Optimization of Real-Time Capacity Allocation (ORCA) - Takanori Kajihara | /content/uploads/3/2024/11/Takanori-Kajihara_Optimization-of-Real-time-Capacity-Allocation-ORCA.pdf |
| Decision Science and Visualization | Leveraging Advanced Concepts and Digital Transformation for Enhanced Efficiency - Tony Davenport | /content/uploads/3/2024/11/Tony-Davenport_Leveraging-Advanced-Concepts-and-Digital-Transformation-for-Enhanced-Efficiency.pdf |
| Decision Science and Visualization | Opportunities for Digital Twins to Define the Future of Nuclear Energy Systems - Prashant Jain | /content/uploads/3/2024/11/Tony-Davenport_Leveraging-Advanced-Concepts-and-Digital-Transformation-for-Enhanced-Efficiency.pdf |
| Decision Science and Visualization | As nuclear energy expands its capacity and operational scope to meet evolving energy needs and combat climate change - Fan Zhang | /content/uploads/3/2024/11/Fan-Zhang_Robot-assisted-Online-Monitoring-and-Online-Maintenance.pdf |
| Decision Science and Visualization | The Human Unimodel for Nuclear Technology to Enhance Reliability (HUNTER) - Ronald Boring | /content/uploads/3/2024/11/Ronald-Boring_RANCOR-HUNTER_-A-Framework-For-Human-Performance-Data-Collection-And-Simulation.pdf |
| Digital Thread and Computing | The principles of a Virtual Twin through a high-temperature gas-cooled reactor (HTGR) project - El Mehdi Azzouzi | /content/uploads/3/2024/11/El-Mehdi-Azzouzi_From-architecture-to-analysis-High-temperature-gas-cooled-reactor-HTGR-project.pdf |
| Digital Thread and Computing | The transformative NNSA program, PRIDE (Product Realization Integrated Digital Enterprise) - Jon Parish | /content/uploads/3/2024/11/Jon-Arlotti-Parish_NNSA-PRIDE.pdf |
| Digital Thread and Computing | An in-depth understanding of dynamic issues related to the integration is critical to design, demonstration, and deployment of hybrid energy systems - Samuel Bayham | /content/uploads/3/2024/11/Sam-Bayham_Integrated-Energy-Systems-and-Cyber-Physical-Modeling-at-the-National-Energy-Technology-Laboratory.pdf |
| Digital Thread and Computing | Extension of SysML using Category Theory for Structured Analysis - Lance Joneckis | /content/uploads/3/2024/11/Lance-Joneckis_Extensions-of-SysML_-Using-Category-Theory-for-Structured-Analysis.pdf |
| Topic | Track | Presentation Link | ||
|---|---|---|---|---|
| 4/30/2024 | Opening keynote | Day 1: Industry Panel & Keynote Speaker, Harlan Bowers | X-energy and Incorporation of Digital Engineering | /wp-content/uploads/2024/06/Harlan-Bowers_X-Energy.pdf |
| 4/30/2024 | Afternoon keynote | Day 1: Afternoon Keynote, Candace Ling. | Art-of-the-Possible in leveraging AI to accelerate time-to-mission (Federal Government) | https://dice-temp.inl.gov/content/uploads/3/2024/11/Candice-Ling_Microsoft-Federal.pdf |
| 4/30/2024 | Digital Twin Applications (Room: A102) | Day 1: Morning Breakout Sessions | Design, Construction and Operation of Advanced Infrastructure Systems: A Digital Engineering Approach - Maria Eduarda and Montezzo Coelho | /wp-content/uploads/2024/06/Maria-Coelho_Design-Construction-and-Operation-of-Advanced-Infrastructure-Systems_-A-Digital-Engineering-Approach.pdf |
| 4/30/2024 | Digital Twin Applications (Room: A102) | Day 1: Morning Breakout Sessions | A Digital Twin Approach to Support Real-time Situational Awareness and Intelligent Cyber-physical Control in Energy Smart Buildings - Haowen Xu | /wp-content/uploads/2024/06/Haowen-Xu_A-Digital-Twin-Approach-to-Support-Real-time-Situational-Awareness-and-Intelligent-Cyber-Physical-Control-in-Energy-Smart-Buildings.pdf |
| 4/30/2024 | Digital Twin Applications (Room: A102) | Day 1: Morning Breakout Sessions | A Machine-Learning Pipeline for Digital Twins - Tom Conley | /wp-content/uploads/2024/06/Thomas-Conley_Machine-Learning-Pipelines-for-Digital-Twins.pdf |
| 4/30/2024 | Digital Twin Applications (Room: A102) | Day 1: Morning Breakout Sessions | Development and Maintenance of a Digital Twin over the Life Cycle of an Engineered System - Richard Vilim | /wp-content/uploads/2024/06/Richard-Vilim_Development-And-Maintenance-Of-A-Digital-Twin-Over-The-Life-Cycle-Of-An-Engineered-System.pdf |
| 4/30/2024 | Digital Twin Applications (Room: A102) | Day 1: Morning Breakout Sessions | Development of a Digital Twin for DLP-Printed Ceramics - Donna Guillen | /wp-content/uploads/2024/06/Donna-Guillen_Development-of-a-digital-twin-for-digital-light-process-printed-ceramics.pdf |
| 4/30/2024 | Digital Twin Applications (Room: A102) | Day 1: Morning Breakout Sessions | Real-time power dispatch optimization for Integrated Energy Systems - Haoyu Wang | /wp-content/uploads/2024/06/Haoyu-Wang_Real-Time-Power-Dispatch-Optimization-For-Integrated-Energy-Systems.pdf |
| 4/30/2024 | Artificial Intelligence and Machine Learning (Room: A110) | Day 1: Morning Breakout Sessions | Predicting the comminution of lignocellulosic biomass: Physical experiment, population balance model, and deep learning - Yidong Xia | /wp-content/uploads/2024/06/Yidong-Xia_Predicting-biomass-comminution_-Physical-experiment-population-balance-model-and-deep-learning.pdf |
| 4/30/2024 | Artificial Intelligence and Machine Learning (Room: A110) | Day 1: Morning Breakout Sessions | Machine learning and artificial intelligence (AI/ML) for materials modeling - Madison Wenzlick | /wp-content/uploads/2024/06/Madison-Wenzlick_AI-ML-challenges-and-opportunities-in-materials-development.pdf |
| 4/30/2024 | Artificial Intelligence and Machine Learning (Room: A110) | Day 1: Morning Breakout Sessions | The utility of incorporating AI at a variety of stages in the material synthesis feedback loop, from data analysis to guiding experiment - Hilary Egan | /wp-content/uploads/2024/06/Hilary-Egan_Al-for-material-synthesis_-From-data-analysis-to-guiding-experiment.pdf |
| 4/30/2024 | Artificial Intelligence and Machine Learning (Room: A110) | Day 1: Morning Breakout Sessions | Additive manufacturing (AM) techniques for metal alloys are revolutionizing product design and manufacturing - Stephen DeWitt | /wp-content/uploads/2024/06/Stephen-DeWitt_Additive-manufacturing-process-planning-and-optimization-through-the-combination-of-simulations-in-situ-characterization-and-Bayesian-algorithms.pdf |
| 4/30/2024 | Artificial Intelligence and Machine Learning (Room: A110) | Day 1: Morning Breakout Sessions | Accelerating Community Clean Energy Transitions with Generative AI - Patrick Emami | /wp-content/uploads/2024/06/Patrick-Emami_Accelerating-Community-Clean-Energy-Transitions-with-Generative-AI.pdf |
| 4/30/2024 | Artificial Intelligence and Machine Learning (Room: A110) | Day 1: Morning Breakout Sessions | Applications of generative AI techniques to support high performance computing operations at Idaho National Laboratory - Kaylee Dalton | /wp-content/uploads/2024/06/Kaylee-Dalton_Enhancing-High-Performance-Computing-HPC-User-Support-with-an-AI-Assistant-through-a-Science-Gateway.pdf |
| 4/30/2024 | Model Based System Engineering (Room: A112-A113) | Day 1: Morning Breakout Sessions | Security Inclusive MBSE Tools for Nuclear Reactor Development - Joe Mahanes | /wp-content/uploads/2024/06/Joseph-Mahanes_Security-Inclusive-MBSE-Tools-for-Nuclear-Reactor-Development.pdf |
| 4/30/2024 | Model Based System Engineering (Room: A112-A113) | Day 1: Morning Breakout Sessions | SparSensing - Mohammad Abdo | /wp-content/uploads/2024/06/Mohammad-Abdo_Sparse-Sensing-and-Sparse-Learning-for-Nuclear-Digital-Twins_-Applications.pdf |
| 4/30/2024 | Model Based System Engineering (Room: A112-A113) | Day 1: Morning Breakout Sessions | Harnessing MBSE for Unified System Architecture in Advanced Energy Systems - Ricardo Martinez | /wp-content/uploads/2024/06/Ricardo-Martinez_Harnessing-MBSE-for-Unified-System-Architecture-in-Advanced-Energy-Systems.pdf |
| 4/30/2024 | Model Based System Engineering (Room: A112-A113) | Day 1: Morning Breakout Sessions | Model Based Systems Engineering (MBSE): Strategically Advancing the Maturity at Sandia National Labs - Casey Noll & Johan Valcarel | /wp-content/uploads/2024/06/Casey-Noll_Model-Based-Systems-Engineering-MBSE-–-Strategically-Advancing-the-Maturity-at-Sandia-National-Labs.pdf |
| 4/30/2024 | Model Based System Engineering (Room: A112-A113) | Day 1: Morning Breakout Sessions | Assessing Methods to Increase the Value-Added Interplay between MBSE and Detailed - Brian Selvy Design | /wp-content/uploads/2024/06/Brian-Selvy_Assessing-Methods-to-Increase-the-Value-Added-Interplay-Between-MBSE-and-Detailed-Design-Tools.pdf |
| 4/30/2024 | Digital Thread and Computing (Room: A102) | Day 1: Afternoon Breakout Sessions | Integrating Sandia’s Digital Thread into the larger Enterprise - Evan Richardson | /wp-content/uploads/2024/06/Evan-Richardson_Integrating-Sandias-Digital-Thread-into-the-Larger-Enterprise.pdf |
| 4/30/2024 | Digital Thread and Computing (Room: A102) | Day 1: Afternoon Breakout Sessions | The Promise and Reality of the Digital Thread Insights from Industry Research - James Roche | /wp-content/uploads/2024/06/James-Roche_The-Promise-and-Reality-of-the-Digital-Thread_-Insights-from-Industry-Research.pdf |
| 4/30/2024 | Digital Thread and Computing (Room: A102) | Day 1: Afternoon Breakout Sessions | Data Integration: What's the right tool for my use case? - Peter Chandler | /wp-content/uploads/2024/06/Peter-Chandler_Guide-To-Selecting-A-Data-Integration-Framework.pdf |
| 4/30/2024 | Digital Thread and Computing (Room: A102) | Day 1: Afternoon Breakout Sessions | Developing an Engineering Digital Thread using DeepLynx - Adam Fagan | https://dice.gravisdev.com/wp-content/uploads/2024/06/Adam-Fagan_Developing-an-Engineering-Digital-Thread-Using-DeepLynx.pdf |
| 4/30/2024 | Digital Thread and Computing (Room: A102) | Day 1: Afternoon Breakout Sessions | Digital Beam Forming System: From Requirements to Mission Verification - Sunil Acharya | /wp-content/uploads/2024/06/Sunil-Acharya_Digital-Beam-Forming-System-From-Requirements-to-Mission-Verification.pdf |
| 4/30/2024 | Digital Thread and Computing (Room: A102) | Day 1: Afternoon Breakout Sessions | Integrating simulation within a PLM-based digital thread - Justin Rey | /wp-content/uploads/2024/06/Justin-Rey_Simulation-based-Digital-Threads-for-High-Diversity-Prototyping.pdf |
| 4/30/2024 | Decision Science and Visualization (Room: A112-A113) | Day 1: Afternoon Breakout Sessions | Digital Engineering strategies to achieve net-zero carbon emissions for buildings, vehicles, operations, and vendors by 2031 - Nathan Woodruff | /wp-content/uploads/2024/06/Nathan-Woodruff_Net-Zero-Engineering-Support-Tool-NEST.pdf |
| 4/30/2024 | Decision Science and Visualization (Room: A112-A113) | Day 1: Afternoon Breakout Sessions | Leveraging the high-fidelity 3D visualization environment to exploit complex wideband radar imagery (OMEGA Project) - John Ploschnitznig | /wp-content/uploads/2024/06/John-Ploschnitznig_Leveraging-the-high-fidelity-3D-visualization-environment-to-exploit-complex-wideband-radar-imagery-The-OMEGA-Project.pdf |
| 4/30/2024 | Decision Science and Visualization (Room: A112-A113) | Day 1: Afternoon Breakout Sessions | Integrating Probabilistic Risk Assessment Models with the Digital Engineering Ecosystem - Andrew Clark | /wp-content/uploads/2024/06/Andrew-Clark_ntegrating-Probabilistic-Risk-Assessment-Models-with-the-Digital-Engineering-Ecosystem.pdf |
| 4/30/2024 | Decision Science and Visualization (Room: A112-A113) | Day 1: Afternoon Breakout Sessions | Demonstration Platform for Control Method Evaluation - Maria Eduarda and Montezzo Coelho | /wp-content/uploads/2024/06/Maria-Coelho_Demonstration-Platform-for-Control-Method-Evaluation.pdf |
| 4/30/2024 | Decision Science and Visualization (Room: A112-A113) | Day 1: Afternoon Breakout Sessions | Digital Acquisition - Digital Prototypes and Executable Models for Proposal Evaluation - John Thompson | /wp-content/uploads/2024/06/John-Thompson_Digital-Acquisition-–-Digital-Prototypes-and-Executable-Models-for-Proposal-Evaluation.pdf |
| 4/30/2024 | Instrumentation, Controls, and Cyber Resilience (Room: A110) | Day 1: Afternoon Breakout Sessions | Virtual infrastructure twin of scanning transmission electron microscopes and computing platforms at different facilities at Oak Ridge National Laboratory - Nageswara Rao | /wp-content/uploads/2024/06/Nageswara-Rao_Digital-Twins-of-Science-Instrument-Computing-Ecosystems-for-Software-Development-and-Testing.pdf |
| 4/30/2024 | Instrumentation, Controls, and Cyber Resilience (Room: A110) | Day 1: Afternoon Breakout Sessions | Current challenges and potential solutions for the formal verification of cyber-physical systems - Daniel Cole | /wp-content/uploads/2024/06/Daniel-Cole_Formally-proving-characteristics-of-cyber-physical-systems.pdf |
| 4/30/2024 | Instrumentation, Controls, and Cyber Resilience (Room: A110) | Day 1: Afternoon Breakout Sessions | Systems-Theoretic Process Analysis - Mauricio Gutierrez | /wp-content/uploads/2024/06/Mauricio-Gutierrez_Development-And-Maintenance-Of-A-Digital-Twin-Over-The-Life-Cycle-Of-An-Engineered-System.pdf |
| 4/30/2024 | Instrumentation, Controls, and Cyber Resilience (Room: A110) | Day 1: Afternoon Breakout Sessions | Cyber-Informed Engineering: Integrating Cybersecurity into Digital Engineering - Sin Ming Loo | /wp-content/uploads/2024/06/Sin-Ming-Loo_Cyber-Informed-Engineering_-Integrating-Cybersecurity-Into-Digital-Engineering.pdf |
| 4/30/2024 | Instrumentation, Controls, and Cyber Resilience (Room: A110) | Day 1: Afternoon Breakout Sessions | Mixed Reality Training: Opportunities and Challenges - Derek Hansen, Steve Francis, and Ezra Bradley" | /wp-content/uploads/2024/06/Derek-Hansen_Mixed-Reality-Training_-Opportunities-and-Challenges.pdf |
| 5/1/2024 | Digital Twins Applications (Room: A102) | Day 2: Morning Breakout Sessions | Technical approaches are critical towards adoption and implementation of digital twins enabling technologies in currently operating and future reactors - Vaibhav Yadav | /wp-content/uploads/2024/06/Vaibhav-Yadav_onsiderations-and-Challenges-with-Artificial-Intelligence-in-Nuclear-Digital-Twin-Applications.pdf |
| 5/1/2024 | Digital Twins Applications (Room: A102) | Day 2: Morning Breakout Sessions | The Tactical Emulation for Software-in-the-Loop Assessment (TESLA) - James Nutaro | /wp-content/uploads/2024/06/Jim-Nutaro_Tactical-Emulation-for-Software-in-the-Loop-TESLA.pdf |
| 5/1/2024 | Digital Twins Applications (Room: A102) | Day 2: Morning Breakout Sessions | Idaho State University's 5-W AGN-201 reactor - Jaden Palmer | /wp-content/uploads/2024/06/Jaden-Palmer_Utilizing-Physics-Informed-Synthetic-Data-To-Predict-Reactor-Operations-of-the-AGN-201-Reactor.pdf |
| 5/1/2024 | Digital Twins Applications (Room: A102) | Day 2: Morning Breakout Sessions | A digital-twin enabled operation framework for integrated energy systems - Maria Eduarda and Montezzo Coelho | /wp-content/uploads/2024/06/Maria-Coelho_Digital-Twin-Enabled-Operation-Framework-for-Integrated-Energy-Systems.pdf |
| 5/1/2024 | Digital Twins Applications (Room: A102) | Day 2: Morning Breakout Sessions | Digital twin and extended reality capabilities for the Beartooth testbed - Kaleb Houck | /wp-content/uploads/2024/06/Kaleb-Houck_SNM-Operator-Training-Using-Digital-Twin-and-Extended-Reality.pdf |
| 5/1/2024 | Artificial Intelligence and Machine Learning (Room: A110) | Day 2: Morning Breakout Sessions | Understanding Deep Learning - Tom Conley | /wp-content/uploads/2024/06/Thomas-Conley_Understanding-Deep-Learning-in-AI.pdf |
| 5/1/2024 | Artificial Intelligence and Machine Learning (Room: A110) | Day 2: Morning Breakout Sessions | A first-of-a-kind condition monitoring framework for complex systems - Yeni Li | /wp-content/uploads/2024/06/Yeni-Li_A-First-of-Kind-Condition-Monitoring-Framework-For-Complex-Systems.pdf |
| 5/1/2024 | Artificial Intelligence and Machine Learning (Room: A110) | Day 2: Morning Breakout Sessions | The field of machine learning operations (MLOps) - Brandon Biggs | /wp-content/uploads/2024/06/Brandon-Briggs_The-field-of-Machine-Learning-Operations-MLOps.pdf |
| 5/1/2024 | Artificial Intelligence and Machine Learning (Room: A110) | Day 2: Morning Breakout Sessions | An alternative, machine learning (ML)-based method for state space exploration - Adam Giammarese | /wp-content/uploads/2024/06/Adam-Giammarese_An-alternative-machine-learning-ML-based-method-for-state-space-exploration.pdf |
| 5/1/2024 | Artificial Intelligence and Machine Learning (Room: A110) | Day 2: Morning Breakout Sessions | YOLO: A state-of-the-art deep learning model renowned for its real-time object detection - Randall Reese | /wp-content/uploads/2024/06/Randall-Reese_You-only-look-once-YOLO-and-Radio-Frequency-Signal-Analysis.pdf |
| 5/1/2024 | Model Based System Engineering (Room: A112-A113) | Day 2: Morning Breakout Sessions | Oklo’s approach of holistic simulation of nuclear systems - Clyde Huibregtse | /wp-content/uploads/2024/06/Clyde-Huibregtse_Oklos-Approach-to-Holistic-Simulation-of-Nuclear-Reactors_-Multiphysics.pdf |
| 5/1/2024 | Model Based System Engineering (Room: A112-A113) | Day 2: Morning Breakout Sessions | Model-Based System Engineering for Parametric and Performance Analyses of an Aircraft Engine - Walter Schwarz | /wp-content/uploads/2024/06/Walter-Schwarz_Model-Based-System-Engineering-for-Parametric-and-Performance-Analyses-of-an-Aircraft-Engine.pdf |
| 5/1/2024 | Model Based System Engineering (Room: A112-A113) | Day 2: Morning Breakout Sessions | A convolutional neural network model was then developed to predict microstructural properties from low-resolution microstructural data - William Epting | /wp-content/uploads/2024/06/William-Epting_Rapid-Assessment-and-Optimization-of-SOC-Electrodes-from-Low-Resolution-Data-Using-Machine-Learning-and-Computer-Vision.pdf |
| 5/1/2024 | Model Based System Engineering (Room: A112-A113) | Day 2: Morning Breakout Sessions | Supporting Test Series with Digital Engineering - Hannah Ekblad | /wp-content/uploads/2024/06/Hannah-Ekblad_MBSE-Test-Evaluation_-Supporting-Test-Series-with-Digital-Engineering.pdf |
| 5/1/2024 | Model Based System Engineering (Room: A112-A113) | Day 2: Morning Breakout Sessions | MBSE principles and tools to support decisions in energy systems - Svetlana Lawrence | /wp-content/uploads/2024/06/Svetlana-Lawrence_MBSE-to-Support-Decisions-for-Energy-Systems.pdf |
| 5/1/2024 | Model Based System Engineering (Room: A112-A113) | Day 2: Morning Breakout Sessions | From machine learning to machine reasoning: a model-based system engineering perspective - Diego Mandelli | /wp-content/uploads/2024/06/Diego-Mandelli_From-Machine-Learning-to-Machine-Reasoning_-A-Model-Based-System-Engineering-Perspective.pdf |
| 5/1/2024 | Digital Twins Tools (Room: A102) | Day 2: Afternoon Breakout Sessions | Digital Engineering is more than just tools – A tool vendor’s perspective - Tony Davenport | /wp-content/uploads/2024/06/Tony-Davenport_Digital-Engineering-is-More-Than-Just-Tool.pdf |
| 5/1/2024 | Digital Twins Tools (Room: A102) | Day 2: Afternoon Breakout Sessions | BOMs, knitting them into the next phase of the data mesh ecosystem, anticipating the need for well-defined DevSecOps environmental control components - Erica Dretzka | /wp-content/uploads/2024/06/Erica-Dretzka_Context-Aware-Data-Mesh.pdf |
| 5/1/2024 | Digital Twins Tools (Room: A102) | Day 2: Afternoon Breakout Sessions | National Academies Report on Digital Twins - Conrad Grant and Irene Qualters | /wp-content/uploads/2024/06/Conrad-Grant_Foundational-Research-Gaps-and-Future-Directions-for-Digital-Twins.pdf |
| 5/1/2024 | Digital Twins Tools (Room: A102) | Day 2: Afternoon Breakout Sessions | NASA Goddard Space Flight Center (GSFC) is home to the largest organization of scientists, engineers, and technologists across NASA - Aaron Comis | /wp-content/uploads/2024/06/Aaron-Comis_Digital-Thread_-The-Connective-Tissue-of-Our-Evolving-Digital-Ecosystem.pdf |
| 5/1/2024 | Digital Twins Tools (Room: A102) | Day 2: Afternoon Breakout Sessions | Digital Engineering for Electric Vehicle Development - Walter Schwarz | /wp-content/uploads/2024/06/Walter-Schwarz_Digital-Engineering-for-Electric-Vehicle-Development.pdf |
| 5/1/2024 | Digital Twins Tools (Room: A102) | Day 2: Afternoon Breakout Sessions | Optimization of Real-Time Capacity Allocation (ORCA) - Takanori Kajihara | /wp-content/uploads/2024/06/Takanori-Kajihara_Optimization-of-Real-time-Capacity-Allocation-ORCA.pdf |
| 5/1/2024 | Decision Science and Visualization (Room: A110) | Day 2: Afternoon Breakout Sessions | Leveraging Advanced Concepts and Digital Transformation for Enhanced Efficiency - Tony Davenport | /wp-content/uploads/2024/06/Tony-Davenport_Leveraging-Advanced-Concepts-and-Digital-Transformation-for-Enhanced-Efficiency.pdf |
| 5/1/2024 | Decision Science and Visualization (Room: A110) | Day 2: Afternoon Breakout Sessions | Opportunities for Digital Twins to Define the Future of Nuclear Energy Systems - Prashant Jain | /wp-content/uploads/2024/06/Tony-Davenport_Leveraging-Advanced-Concepts-and-Digital-Transformation-for-Enhanced-Efficiency.pdf |
| 5/1/2024 | Decision Science and Visualization (Room: A110) | Day 2: Afternoon Breakout Sessions | As nuclear energy expands its capacity and operational scope to meet evolving energy needs and combat climate change - Fan Zhang | /wp-content/uploads/2024/06/Fan-Zhang_Robot-assisted-Online-Monitoring-and-Online-Maintenance.pdf |
| 5/1/2024 | Decision Science and Visualization (Room: A110) | Day 2: Afternoon Breakout Sessions | The Human Unimodel for Nuclear Technology to Enhance Reliability (HUNTER) - Ronald Boring | /wp-content/uploads/2024/06/Ronald-Boring_RANCOR-HUNTER_-A-Framework-For-Human-Performance-Data-Collection-And-Simulation.pdf |
| 5/1/2024 | Digital Thread and Computing (Room: A112-A113) | Day 2: Afternoon Breakout Sessions | The principles of a Virtual Twin through a high-temperature gas-cooled reactor (HTGR) project - El Mehdi Azzouzi | /wp-content/uploads/2024/06/El-Mehdi-Azzouzi_From-architecture-to-analysis-High-temperature-gas-cooled-reactor-HTGR-project.pdf |
| 5/1/2024 | Digital Thread and Computing (Room: A112-A113) | Day 2: Afternoon Breakout Sessions | The transformative NNSA program, PRIDE (Product Realization Integrated Digital Enterprise) - Jon Parish | /wp-content/uploads/2024/06/Jon-Arlotti-Parish_NNSA-PRIDE.pdf |
| 5/1/2024 | Digital Thread and Computing (Room: A112-A113) | Day 2: Afternoon Breakout Sessions | An in-depth understanding of dynamic issues related to the integration is critical to design, demonstration, and deployment of hybrid energy systems - Samuel Bayham | /wp-content/uploads/2024/06/Sam-Bayham_Integrated-Energy-Systems-and-Cyber-Physical-Modeling-at-the-National-Energy-Technology-Laboratory.pdf |
| 5/1/2024 | Digital Thread and Computing (Room: A112-A113) | Day 2: Afternoon Breakout Sessions | Extension of SysML using Category Theory for Structured Analysis - Lance Joneckis | /wp-content/uploads/2024/06/Lance-Joneckis_Extensions-of-SysML_-Using-Category-Theory-for-Structured-Analysis.pdf |