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Researchers harness AI for autonomous discovery and optimization of materials

September 30, 2024
in Artificial Intelligence
Reading Time: 1 min read
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At this time, researchers are creating methods to speed up discovery by combining automated experiments, synthetic intelligence and high-performance computing. A novel software developed at Oak Ridge Nationwide Laboratory that leverages these applied sciences has demonstrated that AI can affect supplies synthesis and conduct related experiments with out human supervision.

This autonomous supplies synthesis software makes use of pulsed laser deposition, or PLD, to deposit a skinny layer of substance onto a base materials. It then employs AI to research how the standard of the newly created materials pertains to the synthesis circumstances, comparable to temperature, strain and vitality emitted throughout the PLD course of. The AI suggests a revised set of circumstances which will yield improved high quality after which controls the PLD gear to conduct the following experiment.

“We constructed laptop management of all processes into the system and integrated some {hardware} improvements to allow AI to drive experimentation,” mentioned the research’s chief, Sumner Harris of the Middle for Nanophase Supplies Sciences at ORNL. “The automation permits us to carry out our work 10 occasions sooner, and the AI can perceive large parameter areas with far fewer samples.”

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Tags: Artificial Intelligence; Distributed Computing; Computer Science; Information Technology; Computer GraphicsautonomousDiscoveryharnessMaterialsOptimizationResearchers
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