Engineers open door to big new library of tiny nanoparticles

The study, led by Professor Liangbing Hu, was published in Science Advances on April 24, 2020. Research Associate Chunpeng Yang served as first author on the study.

"With this method, we can quickly develop different bimetallics using various elements, but with the same structure and morphology," said Hu. "Then we can use them to screen catalytic materials for a reaction; such materials will not be limited by synthesizing difficulties."

The complex nature of nanostructured bimetallic particles makes mixing such particles using conventional methods difficult, for a variety of reasons -- including the chemical makeup of the metals, particle size, and how metals arrange themselves at the nanoscale.

This new non-equilibrium synthesis method exposes copper-based mixes to a thermal shock of approximately 1300 degrees Celsius for .02 seconds and then rapidly cools them to room temperature. The goal of using such a short interval of thermal heat is to quickly trap, or 'freeze,' the high-temperature metal atoms at room temperature while maintaining their mixing state. In doing so, the research team was able to prepare a collection of homogeneous copper-based alloys. Typically, copper only mixes with a few other metals, such as zinc and palladium -- but by using this new method, the team broadened the miscible range to include copper with nickel, iron, and silver, as well.

"Using a scanning electron microscope and transmission electron microscope, we were able to confirm the morphology -- how the materials formed -- and size of the resulting Cu-Ag [copper-silver] bimetallic nanoparticles," Yang said.

This method will enable scientists to create more diverse nanoparticle systems, structures, and materials having applications in catalysis, biological applications, optical applications, and magnetic materials.

As a model system for rapid catalyst development, the team investigated copper-based alloys as catalysts for carbon monoxide reduction reactions, in collaboration with Feng Jiao, professor at the University of Delaware. The electro-catalysis of carbon monoxide reduction (COR) is an attractive platform, allowing scientists to use greenhouse gas and renewable electrical energy to produce fuels and chemicals.

"Copper is, thus far, the most promising monometallic electrocatalyst that drives carbon monoxide reduction to value-added chemicals," said Jiao. "The ability to rapidly synthesize a wide variety of copper-based bimetallic nanoalloys with a uniform structure enables us to conduct fundamental studies on the structure-property relationship in COR and other catalyst systems."

The non-equilibrium synthetic strategy can be extended to other bimetallic or metal oxide systems, too. Utilizing artificial intelligence-based machine learning, the new synthetic method will make rapid catalyst screening and rational design possible.