Diffusion Methods for Generating Transition Paths

• URL: http://arxiv.org/abs/2309.10276v1
• Date: Tue, 19 Sep 2023 03:03:03 GMT
• Title: Diffusion Methods for Generating Transition Paths
• Authors: Luke Triplett and Jianfeng Lu
• Abstract summary: In this work, we seek to simulate rare transitions between metastable states using score-based generative models. We develop two novel methods for path generation in this paper: a chain-based approach and a midpoint-based approach. Numerical results of generated transition paths for the M"uller potential and for Alanine dipeptide demonstrate the effectiveness of these approaches in both the data-rich and data-scarce regimes.
• Score: 6.222135766747873
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: In this work, we seek to simulate rare transitions between metastable states using score-based generative models. An efficient method for generating high-quality transition paths is valuable for the study of molecular systems since data is often difficult to obtain. We develop two novel methods for path generation in this paper: a chain-based approach and a midpoint-based approach. The first biases the original dynamics to facilitate transitions, while the second mirrors splitting techniques and breaks down the original transition into smaller transitions. Numerical results of generated transition paths for the M\"uller potential and for Alanine dipeptide demonstrate the effectiveness of these approaches in both the data-rich and data-scarce regimes.

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