This investigation presents a novel multidimensional continuous conditional generative adversarial network that is able to create alloy microstructures directly from composition-process variables in a single forward pass. The model is applied to discover ternary Mg-Al-Sn alloys manufactured by casting with high ultimate tensile strength and low corrosion rate. From the target performance indices, the model provides the candidate alloy compositions together with their corresponding process parame