Why is this work important?

This study highlights a clear emerging trend:

• Deep learning is not here to replace physics,

• but to work together with physics,

• giving models both “intuition” and “physical discipline.”

This combination brings several important benefits for liquid crystal research:

• Faster material characterization

• Automated defect detection

• More reliable experimental analysis

• Near–real-time interpretation of microscopy images

Looking ahead, this approach could extend to many other fields, including:

• Polarized imaging of biological tissues

• Structural analysis of optical materials

• A wide range of anisotropic imaging systems