TECHNOLOGY LICENSING OPPORTUNITY: AmineBind ML
ENERGY, DEPARTMENT OF
Place of performance: Los Alamos, NM
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- Posted
- Sep 2, 2026
- Closes
- No deadline published by the funder
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At a glance
This is a government contract opportunity posted by ENERGY, DEPARTMENT OF in the research and development in the physical category. Work is performed in Los Alamos, NM.
Classification and identifiers
- Industry (NAICS)
- Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology) (541715)
- Product or service (PSC)
- General Science and Technology R&D Services; General Science and Technology; Applied Research (AJ12)
- Solicitation number
- S-196258
- Contracting office
- TRIAD - DOE CONTRACTOR
Who can apply
About this opportunity
A descriptor?based software and model for amine-based carbon capture discovery Organizations that design sorbents for removing CO2 from air gain a fast, chemistry?aware way to rank candidates and focus resources on the most promising structures. AmineBind ML, a trained surrogate model, packaged with user?friendly software, predicts CO2 binding energies for amine active sites from simple molecular inputs. Teams can screen vast chemical spaces in minutes, align material choices with target regeneration temperatures and reduce trial?and?error in lab campaigns. Overview Developed by Los Alamos National Laboratory, the software ingests a chemical structure as a SMILES string, identifies amine binding sites, then uses a descriptor?based machine learning surrogate model trained on roughly 20,000 ...