Abstract: A learned model generating method includes: acquiring learning data; and generating a learned model for estimating a factor of an abnormality of a processing target substrate after processing using a processing fluid by performing machine learning of the learning data. The learning data includes a feature quantity and abnormality factor information. The abnormality factor information represents a factor of an abnormality of a learning target substrate after processing using the processing fluid. The feature quantity includes first feature quantity information representing a feature of a time transition of section data in time series data representing a physical quantity of an object used by a substrate processing device that processes the learning target substrate using the processing fluid. The first feature quantity information is represented using times.

Abstract: A treatment cup cleaning method is provided, which includes: a rotating step of rotating a substrate rotating unit with a substrate being held by the substrate rotating unit; a cleaning liquid supplying step of supplying a cleaning liquid to an upper surface and a lower surface of the substrate and causing the cleaning liquid to scatter from a peripheral edge of the substrate to be applied to an inner wall of a treatment cup in the rotating step, whereby the cleaning liquid is supplied to the inner wall of the treatment cup; and a scattering direction changing step of changing a cleaning liquid scattering direction in which the cleaning liquid scatters from the peripheral edge of the substrate in the rotating step and the cleaning liquid supplying step.

Abstract: A substrate processing method is implemented in a substrate processing apparatus including a substrate holding and rotating unit having a spin base rotatable about a predetermined vertical axis, and a processing cup surrounding the substrate holding and rotating unit and arranged to receive processing liquid splattering from the substrate rotated by the substrate holding and rotating unit, the substrate processing method including a substrate rotating step of rotating the spin base to rotate the substrate about the vertical axis at a predetermined liquid processing speed and, in parallel with the substrate rotating step, a processing liquid supplying step of supplying processing liquid onto the lower surface of the substrate at a predetermined first flow rate and supplying processing liquid onto the upper surface of the substrate at a second flow rate that is higher than the first flow rate.

Abstract: A substrate processing method is implemented in a substrate processing apparatus including a substrate holding and rotating unit having a spin base rotatable about a predetermined vertical axis, and a processing cup surrounding the substrate holding and rotating unit and arranged to receive processing liquid splattering from the substrate rotated by the substrate holding and rotating unit, the substrate processing method including a substrate rotating step of rotating the spin base to rotate the substrate about the vertical axis at a predetermined liquid processing speed and, in parallel with the substrate rotating step, a processing liquid supplying step of supplying processing liquid onto the lower surface of the substrate at a predetermined first flow rate and supplying processing liquid onto the upper surface of the substrate at a second flow rate that is higher than the first flow rate.