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# FY24/25 LDRD: IFE Superfacility
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# SYNergistic software platform for AI, Physics Simulations, and Experiments
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This is the project management for our FY24/25 LDRD on creating a blueprint for an IFE superfacility, that can combine experimental and simulation data through ML modeling with the goal to predict good experimental input parameters to achieve a certain goal (e.g., maximize number of particles produced in a certain energy range).
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LDRD-funded partners: ATAP AMP (lead), ATAP BELLA (experiments), AMCRD (ML)
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Self-funded partners: NERSC, SLAC
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## Quick Links
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- [Google Drive](https://drive.google.com/drive/u/0/folders/1bwManHU1j67kR008tj7KRuppZPCeaWuj)
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- [Meeting Minutes](https://docs.google.com/document/d/1dcpWVORoMVZ1U-bFw1yFQzZOMu8ay4K9hkbavuiiwJI/edit)
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- [Deployed Spin app](https://bellasuperfacility.lbl.gov)
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- GChat: `Superfacility LDRD`
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- Project Management:
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- [Milestones](https://github.com/ECP-WarpX/2024_IFE-superfacility/milestones)
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- [Tasks (Issues)](https://github.com/ECP-WarpX/2024_IFE-superfacility/issues)
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## Overview of the deployed workflow
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## Overview of the repository
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This repo contains scripts and code to show ML predictions from simulations and experimental data, in the BELLA control room, as illustrated schematically here:
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