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Researchers discovered a trick for dragging an object in a fluid with minimal effort, suggesting an optimal strategy for nanorobots.

A research team has demonstrated that the most efficient protocol for dragging a microscopic object through a fluid has an unexpected feature: the variation of the velocity with time after the midpoint of the trip is the reverse of its variation up to the midpoint [1]. This time-symmetry property, the researchers say, can help to identify the most efficient control strategy in a wide variety of micromechanical systems and could improve the operation of tiny machines.

Biomedical engineers are exploring micro-and nanoscale devices that swim through the body under their own power to deliver drugs [2]. Machine-like motion at tiny scales is also common in biology, for instance in the transport of compartments called vesicles by motor proteins inside cells [3]. To understand the energetics of such systems, Sarah Loos of the University of Cambridge and colleagues have studied a simple model of microscale transport. They used optical tweezers—a laser beam that can trap a small particle—to drag a 2.7-micrometer-diameter silica sphere through fluids. “This problem is simple enough to be solved analytically and realized experimentally, yet rich enough to show some fundamental characteristics of optimal control in complex systems,” says Loos. In practice, the device inducing the motion “could be a nanorobot carrying a drug molecule or a molecular motor that pulls or pushes against a microscopic object.”

Researchers from TU Delft and Brown University have engineered string-like resonators capable of vibrating longer at ambient temperature than any previously known solid-state object—approaching what is currently only achievable near absolute zero temperatures. Their study, published in Nature Communications, pushes the edge of nanotechnology and machine learning to make some of the world’s most sensitive mechanical sensors.

The ability to genetically modify haematopoietic stem cells would allow the durable treatment of a diverse range of genetic disorders but gene delivery to the bone marrow has not been achieved. Here lipid nanoparticles that target and deliver mRNA to 14 unique cells within the bone marrow are presented.

An international research team including Los Alamos National Laboratory and Tel Aviv University has developed a unique, mechanical metamaterial that, like a computer following instructions, can remember the order of actions performed on it. Named Chaco, after the archaeological site in northern New Mexico, the new metamaterial offers a route to applications in memory storage, robotics, and even mechanical computing.

From the rain drops rolling down your window, to the fluid running through a COVID rapid test, we cannot go a day without observing the world of fluid dynamics. Naturally, how liquids traverse across, and through, surfaces is a heavily researched subject, where new discoveries can have profound effects in the fields of energy conversion technology, electronics cooling, biosensors, and micro-/nano-fabrications.

The shimmering of butterfly wings in bright colors does not emerge from pigments. Rather, photonic crystals are responsible for the play of colors. Their periodic nanostructure allows light at certain wavelengths to pass through while reflecting other wavelengths. This causes the wing scales, which are in fact transparent, to appear so magnificently colored.

Proteins are molecular machines, with flexible pieces and moving parts. Understanding how these parts move helps scientists unravel the function a protein plays in living things—and potentially how to change its effects. Biochemists at the U.S. Department of Energy’s (DOE) Brookhaven National Laboratory and colleagues at DOE’s Pacific Northwest National Laboratory (PNNL) have published a new example of how one such molecular machine works.