Scout | CATALCHEM-E: Rapid AI and High-Throughput Development of Heterogeneous Catalysts

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CATALCHEM-E: Rapid AI and High-Throughput Development of Heterogeneous Catalysts

CATALCHEM-E funds development of integrated AI/ML and high-throughput experimentation workflows to compress 10–15 years of heterogeneous catalyst R&D into 12–18 months. Projects will span discovery, synthesis, and reactor testing to find and optimize low-carbon catalytic chemistries for feedstocks (CO2, CH4, H2, biomass intermediates, plastics, etc.) and products (ethylene, propylene, SAF,…

Source

Agency: Advanced Research Projects Agency Energy

Dates

Full Application Submission Deadline: February 25, 2026

Keywords

heterogeneous catalysis

high-throughput

machine learning

ai-guided discovery

catalyst screening

sustainable fuels

co2 utilization

Supporting Links

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