Capturing the kinetics of escape
Wait long enough, and a nanoparticle in an optical trap will eventually break free. Collisions with the surrounding molecules impart the particle with random velocity fluctuations known as Brownian motion; in time, that motion will carry the particle out of its confining potential well. Depending on the collective pressure exerted by the molecules, however, the escape could take an instant or an eternity. At low pressures, the collisions are so infrequent that the particle is slow to gather steam, and the escape rate falls to practically zero. The escape rate also becomes negligibly small at high pressures, where the constant barrage from the background molecules strongly damps the particle’s momentum. Somewhere between those extremes is thought to lie a point, known as Kramers turnover, where the odds of escape peak.
Kramers turnover and its underlying theory is relevant not only to trapped nanoparticles but to folding proteins, current-switching Josephson junctions, and virtually all other damped systems that have metastable energy states. But because the damping in most systems can’t be easily tuned, researchers haven’t been able to pinpoint Kramers turnover in experiments.
Now ETH Zürich’s Lukas Novotny