Machine learning for quantum material synthesis

A method for classifying exfoliation methods, the method comprising:

• performing an exfoliation attempt using a candidate exfoliation method, the performing of the exfoliation attempt resulting in products of the exfoliation attempt on a surface of a substrate;
• forming a micrograph of the surface of the substrate;
• and
• classifying the micrograph into one of a plurality of categories, the categories including:
• a first category, consisting of micrographs including at least one oligolayer flake, and
• a second category, consisting of micrographs including no oligolayer flakes,
• the classifying comprising classifying the micrograph with a neural network.

A system for classifying attempts to form oligolayer flakes, the system comprising:

• a processing circuit,
• the processing circuit being configured to run a neural network to classify each of a plurality of micrographs of a surface of a substrate into one of a plurality of categories, the categories including:
• a first category, consisting of micrographs including at least one oligolayer flake, and
• a second category, consisting of micrographs including no oligolayer flakes.