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Borrowing from birds, experts reduce search times for novel high-entropy alloys to seconds
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Written by AZoMJan 15 2021
At the U.S. Department of Energy’s Ames Laboratory, computational materials science experts optimize an algorithm that is based on the nesting habits of cuckoo birds, thereby decreasing the search time for new high-tech alloys from weeks to just seconds.
Computational materials scientists at Ames Laboratory developed an evolutionary algorithm, using a hybrid version of a computer program called Cuckoo Search (CS), which mimics the brood parasite behavior of cuckoo birds. Image Credit: U.S. Department of Energy, Ames Laboratory.
The researchers have been analyzing a type of alloy known as a high-entropy alloy, an innovative class of materials that are highly desired for several exceptional and possibly useful properties.
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IMAGE: Computational materials scientists at Ames Laboratory developed an evolutionary algorithm, using a hybrid version of a computer program called Cuckoo Search (CS), which mimics the brood parasite behavior of cuckoo. view more
Credit: U.S. Department of Energy, Ames Laboratory
Computational materials science experts at the U.S. Department of Energy s Ames Laboratory enhanced an algorithm that borrows its approach from the nesting habits of cuckoo birds, reducing the search time for new high-tech alloys from weeks to mere seconds.
The scientists are investigating a type of alloys called high-entropy alloys, a novel class of materials that are highly sought after for a host of unusual and potentially beneficial properties. They are lightweight in relation to their strength, fracture-resistant, highly corrosion and oxidation resistant, and stand up well in high-temperature and high-pressure environments making them attractive materials for aerospace indust
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IMAGE: A major roadblock to computational design of high-entropy alloys has been removed, according to scientists at Iowa State University and Lehigh University. Engineers from the Ames Lab and Lehigh University s. view more
Credit: Ames Laboratory, U.S. Department of Energy
A major roadblock to computational design of high-entropy alloys has been removed, according to scientists at Iowa State University and Lehigh University. Engineers from the Ames Lab and Lehigh University s Department of Mechanical Engineering and Mechanics have developed a process that reduces search time used for predictive design 13,000-fold.
According to Ganesh Balasubramanian, an associate professor at Lehigh, the goal of the team s research was to accelerate the computational modeling of complex alloys. The tools available for creating random distribution of atoms in materials simulation models, he says, have been used for many, many years now and are limited in their reach for fast
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