-
artificial intelligence (AI) methods that propose, prioritize, and interpret experiments, accelerating the discovery and optimization of catalytic materials for energy and sustainability applications
-
-deposited oxide films, and covalent or electrostatic functionalization (30%); 3. Build and optimize experimental hardware, including optical excitation and collection paths, microwave and RF delivery (30%); 4
-
, and post hoc support for laboratory studies and provide the substrate necessary for artificial intelligence (AI) guided experimental design and optimization of scarce/costly resources, such as animal
-
provide the substrate necessary for artificial intelligence (AI) guided experimental design and optimization of scarce/costly resources, such as animal models. As AI capabilities advance, the computational