Workshop on Digital Engineering for Fusion Energy Research

Speaker List

• Abetharan Antony (Zenithon Ai)
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    Development of a Neural Operator-Based Surrogate Model for Accelerated Gyrokinetic Transport Calculations

• Michael Battye (University of York)
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    An Open-Source Divertor Digital Twin Environment for Fusion Power Plants

• Loren Brandenburg (Commonwealth Fusion Systems)
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    Tokamak Model Digital Lifecycle for Neutronics Simulation Applications

• Leonardo Caputo (Ghent University)
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    An Overview of Methods and Applications for Data-Driven Predictive Maintenance in Fusion Devices

• Lane Carasik (Virginia Commonwealth University)
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    ARC Divertor and Heat Exchanger Thermal Hydraulic Modeling using the Nek5000 CFD Code

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    Divertor Monoblock Multiphysics Analysis Using the SALAMANDER Code

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    Fusion Energy System ARC System Modeling using SAM

• Austin Carter (Commonwealth Fusion Systems)
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    Coupled Neutronics–CFD Workflow for ARC Tokamak Blanket and Coolant Design

• Qiyun Cheng (Massachusetts Institute of Technology)
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    A Cross Machine and Parametric Neural Operator Surrogate Model for MHD Simulations

• Cyd Cowley (digiLab)
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    Bayesian Experimental Design to Enable Digital Twins

• James Dark (Plasma Science and Fusion Center - MIT)
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    Multi-physics tritium transport modelling of the ARC breeding blanket with FESTIM

• Guillaume Giudicelli (Idaho National Laboratory)
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    Overview of the capabilities in the Multiphysics Object Oriented Simulation Environment and recent activities in modeling and simulation for fusion energy systems

• Aaron Ho (MIT PSFC)
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    Surrogate model generation using high-fidelity CGYRO predictions enabled by active learning techniques

• Casey Icenhour (Idaho National Laboratory)
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    Bringing together integrated simulation, surrogates, and data to support digital twins for fusion engineering

• Amanda Johnson (Commonwealth Fusion Systems)
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    Tokamak Model Digital Lifecycle for Neutronics Simulation Applications

• Andrei Khodak
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    Integration of Customized MHD Modeling into a Digital Engineering Workflow for Advanced Liquid Metal Blankets

• Jacek Kosek (ITER Organization)
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    REIMS - Riemann Explicit Implicit Magnet Simulator, new tool for calculating superconductor performance

• Moritz Kröger
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    Fusion Middleware. A comparison of state of the art systems in research, industrial manufacturing and cloud.

• JAE MIN Kwon (National Fusion Research Institute)
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    Development of a data framework for conceptual design of fusion reactor

• Albrecht Kyrieleis (Amentum)
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    Towards a Tritium Breeder Digital Twin

• Chanyoung Lee (Korea Institute of Fusion Energy)
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    Virtual Tokamak for Integrated Physics and Engineering Analysis

• Jacob Merson (Rensselaer Polytechnic Institute)
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    PCMS: A Geometry and Discretization Aware Multi-physics Coupling Tool for Fusion Devices

• Max Monange (EX-Fusion Inc.)
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    Open-Sourcing EX-Fusion’s Mod-Sim Workflow for Multiphysics Coupling in Laser Fusion Reactor Systems

• Connor Moreno (University of Wisconsin - Madison)
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    Data-Driven Prediction of Parametric Sensitivities of Stellarator Blanket Performance

• Valeria Ospina Bohorquez (Focused Energy)
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    A Multi-Physics Digital Twin for the Integrated Design and Optimization of an Inertial Fusion Energy Power Plant

• Vignesh Perumal (CAMINNO)
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    An ML-based design approach for Fusion Energy targets & components

• Ethan Peterson (Massachusetts Institute of Technology)
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    Towards Accurate Uncertainty Estimates in High-Fidelity Radiation Transport Simulations of Fusion Power Plants

• Milan Rother
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    PathSim: An Open-Source Python Framework for Digital Twin Applications in Fusion Fuel-Cycle Modeling

• Andrea Saltos (Commonwealth Fusion Systems)
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    Advancing SPARC Design Through Deterministic Methods: An Overview

• Audrey Saltzman (MIT PSFC)
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    Leveraging Bayesian optimization for automated plasma composition optimization of ARC with physics-based turbulent transport models

• Abhik Sarkar (Lawrence Livermore National Laboratory)
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    Integrating Edge Analytics and HPC for Autonomous HED Experimental Workflows

• Stefano Segantin
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    Digital Engineering for Fusion: Uncertainty Quantification in Neutronics Modeling

• Mark Shephard (Rensselaer Polytechnic Institute)
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    Tools to Support Geometry and Meshing Needs for Fusion Energy System Simulation Codes

• Daniel van Vugt (Ignition Computing)
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    IMAS components for digital twins

• Huihua Yang (Plasma Science and Fusion Center - MIT)
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    Validation of FESTIM Hydrogen Transport Modeling in FLiBe Through HYPERION Permeation Data

• Eisung Yoon (Ulsan National Institute of Science and Technology)
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    Mesh and 3D Data Analysis Technology for Digital Twin