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_posts/2025-10-16-jax_refine.md

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```markdown
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layout: post
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title: "Optimizing Molecular Dynamics Weights with Machine Learning Tools"
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**TL;DR:**
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By treating MD frame weights as trainable parameters in a differentiable Pearson correlation objective, we can use ML optimizers like Adam to rapidly identify which parts of a trajectory best explain experimental diffuse scattering — turning a brute-force search into a smooth, data-driven optimization problem.
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```
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