Two advanced acronyms gaining traction are (Frequency Domain Enhanced Sampling) and its core component, the NNF (Nonlinear Normalization Function). Here’s a breakdown of what they are and why they matter. What is FDES? FDES is a biasing method used to accelerate the exploration of a system’s potential energy surface. Unlike traditional methods (e.g., metadynamics or umbrella sampling) that add repulsive potentials in real space or along collective variables, FDES works in the frequency domain .

Demystifying FDES & NNF: A Smarter Way to Explore Molecular Energy Landscapes

If you work with molecular dynamics (MD) or enhanced sampling, you’ve likely encountered the challenge of rare events—like protein folding or chemical reactions—that occur beyond standard simulation timescales.

Have you tried FDES in your own work? What challenges did you face with the NNF tuning? Let’s discuss below.