# Target search of active agents crossing high energy barriers

Source: [Target search of active agents crossing high energy barriers](<https://www.sota2.com/research/paper/68fa3de61e209131ce8e4115>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2025-10-25T01:46:05.638Z

Authors: Luigi Zanovello, Michele Caraglio, Thomas Franosch, Pietro Faccioli

Published: 2020-07-24T12:03:20.000Z

## Abstract

Target search by active agents in rugged energy landscapes has remained a challenge because standard enhanced sampling methods do not apply to irreversible dynamics. We overcome this non-equilibrium rare-event problem by developing an algorithm generalizing transition-path sampling to active Brownian dynamics. This method is exemplified and benchmarked for a paradigmatic two-dimensional potential with a high barrier. We find that even in such a simple landscape the structure and kinetics of the ensemble of transition paths change drastically in the presence of activity. Indeed, active Brownian particles reach the target more frequently than passive Brownian particles, following longer and counterintuitive search patterns.

## Recorded benchmark results

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## Original sources and implementation

[Original paper](<https://arxiv.org/abs/2007.12466>)

[PDF](<https://arxiv.org/pdf/2007.12466.pdf>)