  We have developed an AI-aided multiple time stepping (AI-MTS) algorithm and
multiscale modeling framework (AI-MSM) and implemented them on the Summit-like
supercomputer, AIMOS. AI-MSM is the first of its kind to integrate
multi-physics, including intra-platelet, inter-platelet, and fluid-platelet
interactions, into one system. It has simulated a record-setting multiscale
blood clotting model of 102 million particles, of which 70 flowing and 180
aggregating platelets, under dissipative particle dynamics to coarse-grained
molecular dynamics. By adaptively adjusting timestep sizes to match the
characteristic time scales of the underlying dynamics, AI-MTS optimally
balances speeds and accuracies of the simulations.
