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<h1align="center">Doob’s Lagrangian: A Sample-Efficient Variational Approach to Transition Path Sampling</h1>
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<ahref="https://github.com/plainerman/variational-doob"><imgsrc="https://img.shields.io/badge/language-python%20-%2300599C.svg?style=flat-square"alt="Built with Python"/></a>
<ahref="https://github.com/plainerman/variational-doob"><imgsrc="https://img.shields.io/badge/language-python%20-%2300599C.svg?style=for-the-badge"alt="Built with Python"/></a>
A novel variational approach to transition path sampling (TPS) based on the Doob’s h-transform. Our method can be used to sample transition paths between two meta-stable states of molecular systems.
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