This research project advances the development of next-generation liquid nanosensors using surface-enhanced Raman spectroscopy (SERS), a powerful technique that enables highly sensitive detection of molecular signatures. These sensors have transformative potential for early detection of environmental pollutants in water supplies and non-invasive diagnosis of diseases such as cancer and neurodegenerative disorders. However, current SERS probes face major limitations in sensitivity and reproducibility due to the complexity of detecting trace biomolecules in liquid samples. This award supports a cost-effective, computation-guided approach to the design, synthesis, and application of high-performance SERS nanoprobes. By integrating multiscale simulations with experimental synthesis, the project reduces reliance on traditional trial-and-error methods. Computational models will guide the structural design of plasmonic nanostructures and predict optimal synthesis conditions, accelerating discovery while conserving resources. This interdisciplinary collaboration between engineering and the physical sciences supports NSF’s mission to promote the progress of science and advance national health and welfare. The project also fosters STEM education and expands the workforce by providing hands-on research opportunities for students, helping to train the next generation of scientists and engineers. This award supports the rational design and synthesis of metal-insulator-metal (MIM) nano