Researchers in the United States have identified a simple geometric design rule that could help engineers build reliable, ultralow-energy computing systems. The team also highlighted that the modern electronics rely on billions of tiny switches that consume electricity every time they turn on or off. So, researchers have been searching for alternatives that can perform the same tasks while using far less energy.Now, an Argonne-led study has uncovered a geometric rule that determines whether clusters of nanomagnets behave predictably or probabilistically as they relax toward a stable state. The finding challenges standard modeling assumptions and opens new possibilities for ultralow-energy computing.“What we have identified is a relationship between structure and function,” said Argonne Materials Scientist Hanu Arava, lead author of the study. “In our case, the structure is the geometric arrangement of the magnets with respect to each other, and the function is how energy moves through the system. We’ve shown that geometry alone can determine how energy moves through these magnetic systems and that insight gives us a new way to design computing devices.”To help explain the process, Arava compares it to dropping a ball from the top of a mountain. The ball naturally rolls downhill along the easiest route until it reaches the lowest point. Scientists call that route an energy-relaxation pathway — the path a system follows as it moves toward its most stable state. In the nanomagnet system, the magnets interact through their magnetic fields in a more complex way, but they follow the same basic principle: moving step by step toward the lowest-energy configuration, according to a press release.To uncover this relationship, the researchers studied a simple geometric progression at Argonne’s Center for Nanoscale Materials, a DOE Office of Science user facility. They began with four nanomagnets arranged in a Greek cross or plus sign, then rotated all four simultaneously until they formed a square. At intervals along the way, the team measured how the system relaxed toward its most stable state, as per the release. Intuitive framework for understanding energy relaxation Published in Communications Materials, the study investigates the nature of intermediate states in a simple nanomagnet model consisting of four nanomagnets arranged onto a square plaquette. Through systematic exploration, researchers demonstrate how geometry influences energy relaxation pathways via multipolar analysis. “We elaborate on the nature of energy relaxation pathways, with direct consequences for understanding magnetic frustration and metastability in artificial spin ice structures. Our theoretical models are supported by experimental results from field-induced relaxation using Magnetic Force Microscopy measurements. This work provides an intuitive framework for understanding energy relaxation in artificial spin ice structures,” said researchers in the study. The team revealed that although the experiment involved just four nanomagnets, the result has broader implications. In larger magnetic devices, thousands of similar clusters would need to work together. The new findings give engineers a simple design principle: adjust the rotation angle of the magnets to tune how reliably they reach a predictable final state, according to researchers.Get the latest in engineering, tech, space & science - delivered daily to your inbox.Prabhat, an alumnus of the Indian Institute of Mass Communication, is a tech and defense journalist. While he enjoys writing on modern weapons and emerging tech, he has also reported on global politics and business. He has been previously associated with well-known media houses, including the International Business Times (Singapore Edition) and ANI.
US scientists identify geometric design rule that could help build ultralow-energy computing systems
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