Carla Rodríguez
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carlardrguez.bsky.social
Carla Rodríguez
@carlardrguez.bsky.social
AI x Science - Artificial Scientist Lab @MPI_light || Developing high-performance physics simulators in JAX for AI-driven scientific discovery in optics 🔬✨

Git: https://github.com/CarlaRodriguez96
Our work constitutes an important step in AI-driven scientific discovery of new concepts in optics and advanced microscopy.

This couldn't have been possible without the amazing team at the Max Planck Institute for the Science of Light!

w/ Sören Arlt, Leonhard Möckl and @mariokrenn.bsky.social

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December 12, 2024 at 10:10 AM
To validate our approach, we first had XLuminA rediscover groundbreaking techniques like STED microscopy (2014 Nobel Prize in Chemistry).

But it went further — finding a completely new optical configuration that combines multiple SR principles in unexpected ways! 👀

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December 12, 2024 at 10:10 AM
XLuminA is written in JAX and features seamlessly integrated automatic differentiation and GPU-acceleration.

We demonstrate a speed-up of x10,000 compared to traditional optimization methods! 💥🚀

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December 12, 2024 at 10:10 AM
Our solution: we have developed XLuminA, an efficient open-source framework designed with the ultimate goal of discovering new experimental optical designs, with a focus on SR microscopy.

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December 12, 2024 at 10:10 AM
Thus, AI-based exploration techniques could provide enormous benefit, by exploring this space in a fast, unbiased way! 🤖🌌

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December 12, 2024 at 10:10 AM
However, the vast space encompassing all possible experimental configurations in optics suggests that some powerful designs might have not been discovered yet, and might never be with a direct human-driven approach. 🤔

3/
December 12, 2024 at 10:10 AM
Finding new microscopy techniques has traditionally relied on human experience, intuition and creativity. The discovery of super-resolution methods, which circumvent the classical diffraction limit of light, represent a leap in optical microscopy.

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December 12, 2024 at 10:10 AM