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Inverse Design Tool for Ion Optical Devices using the Adjoint Variable Method.

Lars Thorben Neustock1, Paul C Hansen2, Zachary E Russell3

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This summary is machine-generated.

We developed a computational tool for designing ion optical devices. This method efficiently analyzes how design changes impact performance, enabling faster optimization of complex systems like electron microscopes.

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Area of Science:

  • Physics
  • Computational Science
  • Engineering

Background:

  • Numerical methods are crucial for ion optical devices (e.g., electron microscopes, mass spectrometers).
  • Solving charged particle optics equations analytically is often impossible, making detailed computational analysis and optimization challenging.
  • Current methods for analyzing and optimizing ion optical devices are computationally intensive and time-consuming.

Purpose of the Study:

  • To present a novel computer-aided design (CAD) tool for ion optical devices.
  • To introduce an efficient method for sensitivity analysis and optimization of charged particle optics.
  • To overcome the computational burden associated with designing complex ion optical systems.

Main Methods:

  • Utilizing the adjoint variable method combined with the finite-element method (FEM) and Störmer-Verlet method.
  • Implementing a full sensitivity analysis to quantify the impact of design parameters on device performance.
  • Applying gradient-based optimization in conjunction with the adjoint method for shape and voltage optimization.

Main Results:

  • Demonstrated a computationally efficient sensitivity analysis for ion optical devices, with cost largely independent of parameter count.
  • Successfully performed sensitivity analysis on freeform N-element Einzel lens systems with over 13,000 parameters.
  • Achieved optimization of the spot size for these lens systems, showcasing the method's practical application.

Conclusions:

  • The adjoint variable method offers a significant computational advantage for the design and optimization of ion optical devices.
  • This approach facilitates the optimization of numerous design parameters, including shapes and applied voltages, for complex electrostatic devices.
  • The developed CAD tool enables more efficient and effective design of instruments like electron microscopes and mass spectrometers.