The NOFO was modified and an updated SF-424A/Budget Justification Workbook was uploaded February 6, 2026.
Encourage/Discourage notification letters were released and the Full Application NOFO was posted January 26, 2026.
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 rational material discovery to synthesis and final reactor testing. These novel workflows will be developed by coupling the latest advancements in artificial intelligence (AI) and machine learning (ML) with high-throughput experimentation (HTE) to verifiably complete 10–15 years of traditional catalysis R&D work within 12–18 months, thus achieving more than a ten-time acceleration in the catalyst development cycle. The program will then use these new tools to discover and optimize catalytic chemistries relevant to ARPA-E’s goals. These new chemistries will ultimately help advance the objective of net-zero carbon emissions by 2050.
Innovations developed under the CATALCHEM-E program will involve:
Future refinery relevant or other next-generation feedstocks such as hydrogen (H2), nitrogen (N2), oxygen (O2), water (H2O), carbon dioxide (CO2), methane (CH4), ammonia (NH3), methanol (MeOH), ethanol (EtOH), bio-intermediates (CxHyOz), waste plastics, and triglycerides (TAGs); and
Products like ethylene (C2=) and propylene (C3=) as low carbon monomers, and sustainable aviation fuel (SAF), diesel, and syngas as distillate range hydrocarbons.