VirtualLab Fusion 2024.1

The development of VirtualLab Fusion never stops.

With VirtualLab Fusion 2024.1 the Optimization Package has been released as the newest member of the VirtualLab Fusion product family. It contains powerful local and global optimization algorithms to design a system according to your merit functions. The intuitive and user-friendly interface will guide you through the optimization process. Powerful post-processing tools will enable you to understand the development of merit function values during the optimization process.
 

Higher Speed

Distributed computing technology is utilized in the new Optimization Package.

Performance & handling of VirtualLab Fusion data object (e.g. data arrays) has been optimized.

Enhanced parallelization and memory management boost our modeling algorithms’ performance.
 

Easier Use

New customization options for optical setup trees are now available.

Undo operations are now supported for optical setups.

Handling of calculators within VirtualLab Fusion has been improved.

Data import capabilities enhanced, including import for non-equidistant data.

Advanced export options, such as copying to clipboard, are now supported.
 

More Physics

The latest addition to our ever-expanding collection of simulation models has been introduced: functional coatings.

Enhancements to the volume grating medium have been implemented.

New detector add-ons have been introduced to enhance your detector toolkit.
 

Deeper Transparency

The property browser has been redesigned and now features enhanced sort and search functionalities.

All parameters table layout (e.g. within the parameter run) has been enhanced to provide a clearer overview across hierarchy levels.
 

Better Control

A new parameter type, Enumerations, has been added to all snippets within VirtualLab Fusion.

New advanced options for defining random distributions in parameter runs are now available.

Parameter extraction has been extended, enhancing functionalities such as parameter overview and parameter runs.

 

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