Predicting Granular Waves with AI: A Faster Path to Material Modeling
Researchers have demonstrated that machine learning can accurately predict the complex propagation of waves through granular materials, offering a significant speedup over traditional simulations.








![Aeon’s query latency distribution reveals a system designed for speed-achieving sub-millisecond response for the vast majority of requests [latex] (85\%) [/latex]-but acknowledging the inevitable cost of occasional, longer delays [latex] (up to 2.5ms) [/latex] when cached data is unavailable, a characteristic notably absent in the consistently stable, yet slower, [latex] 1.5ms [/latex] response time of HNSW.](https://arxiv.org/html/2601.15311v1/figures/latency_cdf.png)