Catalytic application testing for accelerated learning chemistries via high-throughput experimentation and modeling efficiently sbir/sttr (catalchem-e sbir/sttr)
Closed Posted
- Opportunity number
- DE-FOA-0003506
- Agency
-
Advanced Research Projects Agency
Department of Energy
- Applications due
- Award size
- $2,500,000 to $3,500,000
Opportunity facts
- Assistance listings
- Funding instrument
- Cooperative Agreement, Other
- Categories
-
- Opportunity Zone Benefits
- Science and Technology and other Research and Development
- Eligible applicants
-
- Small Businesses
- Full announcement
Opportunity details come from Grants.gov. Updated .
About this opportunity
The Department of Energy's Advanced Research Projects Agency (ARPA-E) is seeking applications for the Catalytic Application Testing for Accelerated Learning Chemistries via High-throughput Experimentation and Modeling Efficiently (CATALCHEM-E) SBIR/STTR program. The program aims to disrupt and accelerate the design and development cycle for heterogeneous catalyst R&D workflows, with the goal of achieving more than a ten-fold acceleration in the catalyst development cycle. The program will use advancements in artificial intelligence, machine learning, and high-throughput experimentation to discover and optimize catalytic chemistries relevant to ARPA-E's goals of advancing net-zero carbon emissions by 2050. The evaluation criteria will focus on the ability to verifiably complete 10-15 years of traditional catalysis R&D work within 12-18 months. The application deadline is December 17, 2024.
The CATALCHEM-E program will provide funding through cooperative agreements and other funding instruments, with awards targeting small businesses. The typical award values are expected to range from $500,000 to $40 million, with project durations typically spanning 1-3 years. The work is to be performed at the recipients' own research facilities across the United States.
Synopsis
2 versions
Update #2 · Latest ·
This is Modification 02 to the NOFO: • Clarified the meaning of the Program Policy Factors in Section V.C. • The CP due date for this NOFO has already closed and is not being extended with this modification. -
This is Modification 02 to the NOFO:
• Clarified the meaning of the Program Policy Factors in Section V.C.
• The CP due date for this NOFO has already closed and is not being extended with this modification.
To obtain a copy of the Notice of Funding Opportunity (NOFO) please go to ARPA-E eXCHANGE at https://arpa-e-foa.energy.gov.
Program Overview
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.[1] 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.[2]
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.
[1] Sharon Mitchell, Nina-Luisa Michels, and Javier Pérez-Ramírez, "From Powder to Technical Body: The Undervalued Science of Catalyst Scale Up," Chemical Society Reviews 42, no. 14 (June 21, 2013): 6094-6112, https://doi.org/10.1039/C3CS60076A.
[2] U.S. Department of Energy. "How we're moving to net-zero by 2050," (April 2021). https://www.energy.gov/articles/how-were-moving-net-zero-2050.
Update #1 ·
Program Overview
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.[1] 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.[2]
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.
[1] Sharon Mitchell, Nina-Luisa Michels, and Javier Pérez-Ramírez, "From Powder to Technical Body: The Undervalued Science of Catalyst Scale Up," Chemical Society Reviews 42, no. 14 (June 21, 2013): 6094-6112, https://doi.org/10.1039/C3CS60076A.
[2] U.S. Department of Energy. "How we're moving to net-zero by 2050," (April 2021). https://www.energy.gov/articles/how-were-moving-net-zero-2050.
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