Hybrid Depletion Framework using Mixed-fidelity Transport Solutions and Substeps: Data

Simulation data demonstrating accuracy of a hybrid depletion framework. The method couples a high fidelity solution (Monte Carlo) at large "coarse step" intervals, with a faster reduced-order transport solution (deterministic or a perturbation-based prediction). This allows capturing reaction rates at a fine scale, without overly burdening the overall computational sequence.

Data are arranged in two group: serpent and hybrid. The sub-groups in Serpent indicate the depletion scheme (ce or, leli) and depletion step size (5, 10, and 20). The hybrid group contains subgroups for 5, 10, and 20 day coarse steps, all with single day substeps. Reference solutions are in the "reference/serpent" and "reference/hybrid" groups. Inside each group, e.g. "serpent/ce/10", data for fluxes, isotopic compositions, and multiplication factor are contained.

模拟数据展示了混合去活框架的准确性。该方法将高保真解（蒙特卡洛方法）与更快的降阶传输解（确定性或扰动预测）相结合，应用于较大的“粗步”间隔。这允许在精细尺度上捕捉反应速率，而不会过度增加整体计算序列的负担。数据分为两组：Serpent和混合。Serpent的子组指示去活方案（ce或leli）和去活步长（5、10和20）。混合组包含针对5、10和20天粗步的子组，所有子组均包含单日子步。参考解位于“reference/serpent”和“reference/hybrid”组中。在每个组内部，例如“serpent/ce/10”，包含了通量、同位素组成和增殖因子的数据。