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Researchers harness AI for autonomous discovery and optimization of materials

Date:
June 11, 2024
Source:
DOE/Oak Ridge National Laboratory
Summary:
Today, researchers are developing ways to accelerate discovery by combining automated experiments, artificial intelligence and high-performance computing. A novel tool that leverages those technologies has demonstrated that AI can influence materials synthesis and conduct associated experiments without human supervision.
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Today, researchers are developing ways to accelerate discovery by combining automated experiments, artificial intelligence and high-performance computing. A novel tool developed at Oak Ridge National Laboratory that leverages those technologies has demonstrated that AI can influence materials synthesis and conduct associated experiments without human supervision.

This autonomous materials synthesis tool uses pulsed laser deposition, or PLD, to deposit a thin layer of substance onto a base material. It then employs AI to analyze how the quality of the newly created material relates to the synthesis conditions, such as temperature, pressure and energy emitted during the PLD process. The AI suggests a revised set of conditions that may yield improved quality and then controls the PLD equipment to conduct the next experiment.

"We built computer control of all processes into the system and incorporated some hardware innovations to enable AI to drive experimentation," said the study's leader, Sumner Harris of the Center for Nanophase Materials Sciences at ORNL. "The automation allows us to perform our work 10 times faster, and the AI can understand huge parameter spaces with far fewer samples."


Story Source:

Materials provided by DOE/Oak Ridge National Laboratory. Note: Content may be edited for style and length.


Journal Reference:

  1. Sumner B. Harris, Arpan Biswas, Seok Joon Yun, Kevin M. Roccapriore, Christopher M. Rouleau, Alexander A. Puretzky, Rama K. Vasudevan, David B. Geohegan, Kai Xiao. Autonomous Synthesis of Thin Film Materials with Pulsed Laser Deposition Enabled by In Situ Spectroscopy and Automation. Small Methods, 2024; DOI: 10.1002/smtd.202301763

Cite This Page:

DOE/Oak Ridge National Laboratory. "Researchers harness AI for autonomous discovery and optimization of materials." ScienceDaily. ScienceDaily, 11 June 2024. <www.sciencedaily.com/releases/2024/06/240611130443.htm>.
DOE/Oak Ridge National Laboratory. (2024, June 11). Researchers harness AI for autonomous discovery and optimization of materials. ScienceDaily. Retrieved July 17, 2024 from www.sciencedaily.com/releases/2024/06/240611130443.htm
DOE/Oak Ridge National Laboratory. "Researchers harness AI for autonomous discovery and optimization of materials." ScienceDaily. www.sciencedaily.com/releases/2024/06/240611130443.htm (accessed July 17, 2024).

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