Uncertainty-Aware AI: A New Era of Materials Understanding

RISE is also advancing AI-driven methods for materials characterization, integrating uncertainty-aware models into experimental analysis. By combining empirical measurements with simulation-based approaches, these methods help researchers:

• Identify which experiments are likely to be most informative
• Uncover hidden patterns in complex material systems
• Gain more reliable interpretations even when data is limited or noisy

Efficient Research Loop

This creates a more efficient loop between hypothesis, experiment, and insight, enabling faster scientific progress.

Vision

We are shortening the path from experiment to understanding, merging automation, simulation, and intelligent exploration to push the frontiers of materials science.