Scout | Rapid AI-driven catalyst discovery and testing (CATALCHEM-E)

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Rapid AI-driven catalyst discovery and testing (CATALCHEM-E)

CATALCHEM-E funds development of workflows that combine AI/ML with high-throughput experimentation to cut heterogeneous catalyst R&D timelines from a decade to roughly 12–18 months, moving projects from discovery through synthesis to reactor testing. The program targets catalytic chemistries for low‑carbon feedstocks (CO2, CH4, NH3, bio-intermediates, waste plastics, etc.) to produce produ…

Source

Agency: Advanced Research Projects Agency Energy

Dates

Application Window Closes: December 17, 2024

Opportunity Released: February 10, 2025

Submission Deadline: December 17, 2024

Keywords

heterogeneous catalysis

high-throughput

ai-ml

catalyst discovery

low-carbon fuels

co2 conversion

feedstock diversification

Supporting Links

Documents

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