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Achieving Efficient Fragment Screening at XChem Facility at Diamond Light Source

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Published on: May 29, 2021

AI-BL1.0: a program for automatic on-line beamline optimization using the evolutionary algorithm.

Shibo Xi¹, Lucas Santiago Borgna², Lirong Zheng³

¹Heterogeneous Catalysis, Institute of Chemical and Engineering Sciences, Agency for Science, Technology and Research, 1 Pesek Road, Jurong Island 627833, Singapore.

Journal of Synchrotron Radiation

|December 24, 2016

Summary

This summary is machine-generated.

AI-BL1.0 is an open-source Labview program for automatic on-line beamline optimization. It uses Genetic Algorithm and Differential Evolution, enhanced by Observer Mode, to improve efficiency at synchrotron light sources.

Keywords:

Labview automatic beamline optimization evolutionary algorithm

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Area of Science:

Synchrotron Radiation Science
Computational Physics
Software Engineering

Background:

Automated optimization of synchrotron beamlines is crucial for efficient experimental operations.
Existing methods may lack the flexibility or efficiency required for complex beamline tuning.
Developing user-friendly, open-source software can accelerate research by simplifying beamline control.

Purpose of the Study:

To present AI-BL1.0, a novel open-source Labview-based program for automated on-line beamline optimization.
To demonstrate the program's capability in enhancing the efficiency of synchrotron beamline operations.
To validate the performance of the implemented optimization algorithms.

Main Methods:

Implementation of Genetic Algorithm and Differential Evolution for optimization tasks.
Integration of an Observer Mode strategy to enhance the efficiency of evolutionary algorithms.
Development using Labview for broad accessibility and ease of use in experimental environments.

Main Results:

Successful construction and validation of the AI-BL1.0 program.
Demonstrated improvement in operational efficiency through the implemented optimization algorithms.
Validation across multiple synchrotron facilities, including XAFCA and 1W1B beamlines.

Conclusions:

AI-BL1.0 provides an effective and open-source solution for on-line beamline optimization.
The program's design facilitates improved efficiency and accessibility for synchrotron users.
The successful validation confirms its utility in real-world experimental settings.