3 papers - avg viability 6.0
An open-source AI framework for optimizing concrete mix designs to improve strength and reduce environmental impact.
An AI surrogate model accelerates ferroelectric vertical NAND design by predicting threshold voltage shifts and retention behavior with 10000x speedup compared to TCAD.
Develops a novel machine learning interatomic potential that accurately predicts material properties by incorporating local curvature information, bridging the gap between theoretical simulations and experimental observations.