3. Brief Introduction to Inputs

The dictionary CanteraTorchProperties is the original dictionay of DeepFlame. It read in netowrk realted parameters and configurations. It typically looks like:

chemistry           on;
CanteraMechanismFile "ES80_H2-7-16.yaml";
transportModel "Mix";//"UnityLewis";
odeCoeffs
{
    //"relTol"   1e-15;
    //"absTol"   1e-24;
}
inertSpecie        "N2";

zeroDReactor
{
    constantProperty "pressure";
}

torch on;
GPU on;
torchModel1 "ESH2-sub1.pt";
torchModel2 "ESH2-sub2.pt";
torchModel3 "ESH2-sub3.pt";

torchParameters1
{
    Tact 700  ;
    Qdotact  3e7;
    coresPerGPU 4;
}
torchParameters2
{
    Tact 2000;
    Qdotact  3e7;
}
torchParameters3
{
    Tact 2000;
    Qdotact  7e8;
}
loadbalancing
{
        active  false;
        //log   true;
}

In the above example, the meanings of the parameters are:

• CanteraMechanismFile: the name of the reaction mechanism file

• odeCoeffs: the ode torlerance. 1e-15 and 1e-24 are used for network training, so it should keep the same when comparing results with nd without DNN.

• torch: the switch used to control the on and off of DNN. If users are running CVODE, this needs to be switched off.

• GPU: the switch used to control whether GPU or CPU is used to carry out inference.

• torchModel: name of network.

• torchParameters: thresholds used to decide when to use network.

• coresPerGPU: number of CPU cores on one node.