[LCRC Accounts] Yearly Allocation Request for gcmat
Hello, A yearly allocation for the LCRC cluster has been requested with the following updated information: Submitter/PI: Jonathan Ozik Project Name: gcmat Division: GSS Project title: Global Critical Materials Modeling Associated funding: DOE Office of Energy Policy and Systems Analysis DOD Defense Logistics Agency Other Systems: Science: This project uses adaptive simulation methods to compute sensitivity and uncertainty ranges for predicting global price and production of critical materials needed for clean energy technologies. Project description: We will use agent-based modeling to study the effects of producer and consumer decisions on market dynamics. Also, we intend to understand the effects of critical parameters on model outcomes. We will continue to use Repast Simphony for agent-based modeling and the Swift/T parallel scripting workflow language for constructing adaptive workflows. Our goal is to advance methods for adaptive simulation experiments that will be widely applicable to many kinds of models. We will carry out parameter sweeps over 100k+ to 1M+ parameter combinations, determining regions of parameter space that exhibit the best fit to empirical data, including historical prices of critical materials, and parameter sensitivity. The adaptive simulation workflows will allow us to strategically explore large parameter spaces, dynamically generating parameter combinations based on results of distributed simulation runs, using evolutionary algorithms and approximate Bayesian computation. Industry partnership: Project URL: Current FY Hours Used: undetermined amount New FY Requested allocation: 400000 Q1: 100000 Q2: 100000 Q3: 100000 Q4: 100000 Justification: Storage requirements: The project generates large amount of data in the form of simulation outputs. Outputs from large parameter sweeps involving millions of simulation runs quickly add up. This data needs to be stored for analysis and for joint access by the project members. As such, a 5TB storage allocation would be very helpful. Thank You, The LCRC Accounts System
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accounts@lcrc.anl.gov