This technology combines edge-diffraction modeling, boundary-element methods, and parallel processing to create a model of acoustic scattering of midfrequency active sonar from underwater targets that are larger than mines and smaller than conventional submarines. ARiA’s approach offers an accurate and efficient method for calculating acoustic scattering of midfrequency threats that is 10 times faster than current state-of-the-art target-scattering models and scales well at high frequencies. This method has been validated against third party BEM software and analytical solutions. ARiA provides research and development in interdisciplinary acoustics, signal processing, modeling & simulation, machine learning, and artificial intelligence. The goal is to transition this technology as a tool for ONR, NAVAIR, and NAVSEA to use in creating midfrequency synthetic target signatures for developing signal-processing algorithms.