FOCUS

Nanoscale Warming Is Faster Than Cooling

Physics 13, 144
Contrary to conventional wisdom, a sufficiently small, cold object warms to the temperature of its surroundings faster than a warm object cools, according to a new theory.
stsmhn/Getty Images
Faster ice. Under certain conditions, a liquid put into a freezer will freeze faster if it starts out from a warmer temperature, a phenomenon known as the Mpemba effect. Now physicists have shown that in theory, a similar but more general effect occurs at the nanoscale: cold objects warm up faster than warm objects cool down. The research uncovers a fundamental asymmetry in the evolution of objects toward thermal equilibrium.Faster ice. Under certain conditions, a liquid put into a freezer will freeze faster if it starts out from a warmer temperature, a phenomenon known as the Mpemba effect. Now physicists have shown that in theory, a similar but more general effect occu... Show more

Researchers have long assumed that heating and cooling occur at the same rates, but a new theory shows that, for nanoscale bodies, cold objects warm up faster than hot objects cool down [1]. The effect appears to be the result of a subtle difference in the way heating and cooling work at the nanoscale. The asymmetry, the researchers believe, could soon be demonstrated in experiments, and it could prove useful in engineering tiny engines for use in a variety of nanodevices.

Basic physics asserts that cooling and warming rates should be identical if conditions are the same. Much as a ball on a hill rolls downward, seeking states of lower energy, a thermodynamic system generally evolves, or “relaxes,” to minimize its free energy, a quantity that represents the amount of energy available to do work. If the total free energy difference between the initial and final conditions is the same in both cases, warming and cooling should take place at the same rate.

Alessio Lapolla and Aljaž Godec of the Max Planck Institute for Biophysical Chemistry, Germany, analyzed a class of mathematical models of the equilibration process. In one model simplified to one dimension, they considered a particle trapped in a small region and undergoing random Brownian motion at some temperature T. In the model, the particle has a most likely position—the center of the trap at x=0—and the particle's position fluctuates randomly about this point. These fluctuations are described by a probability distribution, a function representing the likelihood of finding the particle at each position. The function has its peak at x=0, and its width increases with heating and decreases with cooling.

Lapolla and Godec first solved for the probability distribution for the particle position if held at a cold temperature T and at a hot temperature T+. They then imagined plunging this trapped-particle system into an environment at a different temperature, Teq, chosen between T and T+. By choosing Teq appropriately, they made the free energy difference the same in both cases, expecting the rate of temperature change to be identical. Yet their detailed calculations revealed that the system warming up from T would reach Teq faster than the one cooling down from T+.

“Relaxation happens faster ‘uphill’ than ‘downhill,’” says Godec. “This is an unforeseen asymmetry.” The researchers also demonstrated the effect in a couple of other related models and proved a general theorem that gives the conditions under which it should be expected.

The explanation for the effect in the one-dimensional example, Lapolla and Godec suggest, lies in a subtle imbalance in how the probability distribution of any system evolves under conditions of warming or cooling. In either case, Brownian motion on its own would cause the distribution to widen, while interactions with the “walls” of the trap would cause the particle to drift back toward the center, narrowing the distribution. So these two effects work in opposition to one another. When averaged across the distribution, the researchers found, the inward drift process was less effective during warming, when the distribution is widening, than during cooling, when it is narrowing. With a less effective process opposing Brownian broadening during warming, the distribution reaches its final width more rapidly.

“I believe we still have a lot to understand. We have only scratched the surface so far,” says Godec. The team hopes that further study of the effect will result in a deeper understanding of other situations where the temperature changes over time. For example, some liquids freeze more rapidly if their starting temperature is warmer, rather than colder—a phenomenon known as the Mpemba effect.

“I find the effect surprising and counter-intuitive,” says statistical physicist Edgar Roldan of the Abdus Salam International Centre for Theoretical Physics, Italy, “because at higher temperatures a system has larger fluctuations and thus more configurations to explore. It does remind me a little of the Mpemba effect.”

Verifying the effect in experiments, the researchers believe, should be relatively easy and could be done in the near future, for example, by measuring the positions and effective temperature of particles held in an optical trap. The researchers suggest that the effect could also be useful in some practical applications, such as efforts to improve the efficiency of microscopic motors and heat pumps by engineering better thermal properties.

–Mark Buchanan

Mark Buchanan is a freelance science writer who splits his time between Abergavenny, UK, and Notre Dame de Courson, France.

References

  1. A. Lapolla and A. Godec, “Faster uphill relaxation in thermodynamically equidistant temperature quenches,” Phys. Rev. Lett. 125, 110602 (2020).

Subject Areas

Statistical Physics

Related Articles

The Complex Variability of Climate
Statistical Physics

The Complex Variability of Climate

Climate scientist Michael Ghil describes gaps in our understanding of climate change.   Read More »

City Sizes May Affect Blackout Probabilities
Complex Systems

City Sizes May Affect Blackout Probabilities

The probabilities of electricity blackouts may be influenced by the sizes of cities more than by the details of power grids. Read More »

A Statistical Model for Optimizing Output
Complex Systems

A Statistical Model for Optimizing Output

A new statistical model that optimizes a system’s output could help to maximize the efficiency of mechanical systems. Read More »

More Articles