Inverse modeling is a class of computational and statistical methods that infer unknown model parameters, inputs, or system states from observed outputs, given a forward model that maps parameters to ...
A wave of AI-driven techniques, from generative models to autonomous labs, is transforming materials science by enabling inverse design, rapid property prediction, and automated synthesis.