ASTRA reframes transition-state search as guided diffusion inference that samples the isodensity surface between metastable basins and converges to first-order saddles via score differences and physical forces.
arXiv preprint arXiv:2510.11923 (2025)
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A learned implicit bias in generative protein emulators accelerates state coverage up to 37x faster on Fast-Folding proteins while increasing diversity by 35%.
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A Priori Sampling of Transition States with Guided Diffusion
ASTRA reframes transition-state search as guided diffusion inference that samples the isodensity surface between metastable basins and converges to first-order saddles via score differences and physical forces.
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Learning Implicit Bias in Generative Spaces for Accelerating Protein Dynamics Emulation
A learned implicit bias in generative protein emulators accelerates state coverage up to 37x faster on Fast-Folding proteins while increasing diversity by 35%.