Credit: Graphic by Tim Carpenter/LLNL.
In the Multiscale Machine-Learned Modeling Infrastructure (MuMMI), the macroscale simulation runs a large system, with hundreds of proteins, at low resolution and machine learning decides which regions of the macro-model require investigation in a microscale simulation at much higher resolution. Analysis from this microscale simulation is fed back into the macroscale model to improve its fidelity.