AI BriefingAI Discovers New Physical Law
Key point
An AI model captures the asymmetric particle forces in dusty plasma with over 99% accuracy
Details
In an Emory University study published in PNAS, researchers designed a custom neural network that learns 3D particle trajectories of dusty plasma, reproducing complex non-reciprocal forces with over 99% accuracy.
The model:
- Precisely captured the asymmetric interaction in which a leading particle attracts a trailing particle, while the trailing particle pushes away the leading particle.
- Revised the existing assumption that particle charge is simply proportional to size, and the assumption that the distance decay of force is independent of size.
- Validated the results through additional experiments.
The researchers believe this framework can run on a standard desktop and could be extended to various many-body systems such as materials science, inks and paints, and cell populations.
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