Schmidt Sciences
Eligibility
- Eligble PIs
Description
Can AI help us make predictions for matter in the regimes that actually determine technological function: defects, interfaces, disorder, and dynamics at multiple length and time scales? Schmidt Sciences seeks to fund AI-driven methods that can reliably predict properties governed by defects, interfaces, disorder, and multi-scale dynamics—including methods that bridge length and time scales that conventional simulation cannot connect—for any technologically relevant material or molecule.
Award Note
One-Time RFP
Keywords:
AI, piolot, chemistry, computer science, materials, biology, computing, technology development,
Application due:
04/30/26
Award amount:
$100,000 - $500,000