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.本数据集用于验证混合燃耗框架的准确性。该方法将大间隔“粗时间步”下的高保真求解方案（蒙特卡洛（Monte Carlo））与更高效的降阶输运求解方案（确定性方法或基于摄动的预测方法）相结合，可在精细尺度下精准捕捉反应速率，同时避免给整体计算流程带来过重负担。 数据集分为两大组别：Serpent与Hybrid。Serpent组下的子组别对应燃耗方案（ce或leli）与燃耗步长（5、10与20）；Hybrid组则包含粗时间步为5、10、20天的子组别，所有子组别均采用单日作为子步长。 基准求解结果存放于"reference/serpent"与"reference/hybrid"组别中。以"serpent/ce/10"组别为例，各组别内均包含中子通量、同位素组成与增殖系数相关数据。