US 2026/0073232 A1 · MASS ANALYZER CALIBRATION VIA REINFORCEMENT LEARNING

Abstract

Systems/techniques are provided for facilitating mass analyzer calibration via reinforcement learning. In various embodiments, a system can predict, via execution of one or more reinforcement learning neural networks on present-time state data of a mass analyzer of a scientific instrument, what adjustments to one or more operational parameters of the mass analyzer would cause the mass analyzer to approach a calibrated state, wherein the one or more operational parameters include an electrode voltage of the mass analyzer or a timing control of the mass analyzer. In various aspects, the system can modify the one or more operational parameters based on the adjustments, thereby causing the mass analyzer to approach the calibrated state.

Claims20

Dependent claims

A system, comprising:

a processor that executes computer-executable components stored in a non-transitory computer-readable memory, wherein the computer-executable components comprise:
a calibration component that predicts, via execution of one or more reinforcement learning neural networks on present-time state data of a mass analyzer of a scientific instrument, what adjustments to one or more operational parameters of the mass analyzer would cause the mass analyzer to approach a calibrated state, wherein the one or more operational parameters include an electrode voltage of the mass analyzer or a timing control of the mass analyzer;
and
an execution component that modifies the one or more operational parameters based on the adjustments, thereby causing the mass analyzer to approach the calibrated state.

1 more element

A computer-implemented method, comprising:

predicting, by a device operatively coupled to a processor and via execution of one or more reinforcement learning neural networks on present-time state data of a mass analyzer of a scientific instrument, what adjustments to one or more operational parameters of the mass analyzer would cause the mass analyzer to approach a calibrated state, wherein the one or more operational parameters include an electrode voltage of the mass analyzer or a timing control of the mass analyzer;
and
modifying, by the device, the one or more operational parameters based on the adjustments, thereby causing the mass analyzer to approach the calibrated state.

Dependencies are inferred from the claim text.

Mass analyzer calibration via reinforcement learning

Life of this patent

Mass analyzer calibration via reinforcement learning

Life of this patent

Abstract

Claims20