Designing SciML components in ModelingToolkit.jl
Ashutosh Bharambe, Dhairya Gandhi
SciML bridges the gap between scientific modeling and Machine Learning (ML). It has revolutionised simulation, if used properly when designing and calibrating complex acausal systems. Julia, with ModelingToolkit.jl (MTK) has some of the most advanced simulation capabilities, but how does one make use of ML methods with it? This talk will focus on how to utilise an existing neural network as a component in MTK and seamlessly integrate it back into the first principles system
Methods and Applications of Scientific Machine Learning (SciML)
Lawrence Room 104 - Function Room
