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,…
The Catalytic Application Testing for Accelerated Learning Chemistries via High-throughput Experimentation and Modeling Efficiently (CATALCHEM-E) program aims to disrupt and accelerate the design and development cycle for heterogeneous catalyst R&D workflows. The program will span from ratio…
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