The National Science Foundation (NSF) awarded a $1,500,000 Project Grant under the Mathematical and Physical Sciences (CFDA 47.049) program to The Pennsylvania State University, doing business as Penn State, to create a materials innovation infrastructure that accelerates the discovery and optimization of biosensor materials. The project aims to: (1) understand the effect of transition metal dichalcogenide (TMD) functionalization and doping on nanoscale interactions with biomolecules; (2) develop active learning AI models to accelerate computational modeling; (3) synthesize new and improved sensing materials and establish process-property-performance relationships; (4) synthesize TMDs using scalable methods, fabricate sensors, and conduct multimodal screening; and (5) create a cloud database to share project outcomes. The research outcomes are expected to have a transformative impact on AI-guided design of materials for electrochemical sensing that may extend to other applications like smart coatings, gas sensing, and catalysis. Subawards are planned under this grant.
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