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experimentally measured thermodynamic properties (heat capacity functions, decomposition enthalpies, and phase boundaries produced by the lab's calorimetry program) into modeling workflows, so that predictions and
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) project entitled “Data-driven methods for reaction pathway exploration in multi-component non-equilibrium systems.” This project aims to understand and predict reaction pathway selection and functional
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for seasonal prediction using hybrid physics-machine learning models in R&D item Research on Seasonal Meteorological and Oceanographic Forecast Simulator under Development of Integrated Simulation Platform
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