AI Enhances Plasma Plume Analysis

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Pictured on the left, human vision of the pulsed laser deposition plasma plumes. On the right, images from movies of the interpretation of the plasma plumes by AI, which can predict film growth characteristics. Credit: Sumner Harris/ORNL, U.S. Dept. of Energy
Pictured on the left, human vision of the pulsed laser deposition plasma plumes. On the right, images from movies of the interpretation of the plasma plumes by AI, which can predict film growth characteristics (credit: Sumner Harris/ORNL, U.S. Dept. of Energy).

October 15, 2024 | Originally published by Oak Ridge National Laboratory (ORNL) on September 16, 2024

In a game-changing study, Oak Ridge National Laboratory scientists developed a deep learning model — a type of artificial intelligence that mimics human brain function — to analyze high-speed videos of plasma plumes during a process called pulsed laser deposition, or PLD.

The PLD technique uses powerful laser pulses to vaporize a target material, creating a cloud-like stream of atoms and particles — the plasma plume — which then settles onto a target surface to form ultrathin films. This method is crucial for creating advanced materials used in electronics and energy technologies.

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