Funder: Schmidt Sciences

Due Dates: April 30, 2026: Proposal / Full application deadline

Funding Amounts: Track I: Up to $100,000 (6–12 months) | Track II: $100,000–$500,000 (12–18 months) | 10–15 awards expected

Summary: Supports AI-driven methods to predict material and molecular properties governed by non-idealities and multi-scale effects, aiming to bridge computational and experimental gaps.

Key Information: Open globally to universities and non-profits; indirect costs capped at 10%.