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My research on rare events focuses on developing theories and algorithms to accelerate the simulation of infrequent but significant events in complex systems. This work has important applications in fields such as materials science, chemical physics, and biological processes.
Key areas of investigation include:
- Accelerated sampling techniques
- Transition state theory
- Machine learning approaches for rare event prediction