The National Science Foundation (NSF) awarded this $274,991 Phase I Small Business Innovation Research (SBIR) project grant to Atmosense, Inc. under the NSF Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084). The project aims to develop advanced materials analysis tools utilizing machine learning to rapidly discover and synthesize high surface area nanomaterials for use in microchip gas sensors. The goal is to enable faster detection of harmful gases like formaldehyde and methane. Key objectives include integrating high-throughput synthesis, experiments, and computational modeling to accelerate development of candidate nanomaterials. This early-stage R&D work seeks to provide a sustainable competitive advantage for future detection of difficult target gases. No sub-awards are planned for this project, which has an award date of September 1, 2024 and a targeted completion date of May 31, 2025.
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