SimBlue Marine
SimBlue Marine
Physics-based AI/ML solutions for high-fidelity simulations, underwater acoustics, and custom digital twin platforms.
SimBlue Marine's Digital Twin technology leverages cutting-edge physics-based machine learning and artificial intelligence to create high-fidelity virtual replicas of marine systems. Our advanced AI/ML solutions provide intelligent answers for underwater noise prediction, high-fidelity fluid dynamics simulations, acoustic propagation modeling, and custom digital twin platforms. We specialize in developing tailored solutions, custom platforms, and integrated pipelines that combine deep learning with fundamental physics to deliver unprecedented accuracy in marine engineering applications.
High-level overview of digital twin framework analyzing the contractive impact of fuel consumption and acoustic footprint from ships through integrated performance modeling and environmental assessment.
In-house physics-informed machine learning model architectures for predicting long-range underwater acoustic propagation, featuring deep learning frameworks optimized for acoustic prediction tasks.
Comparative analysis of one-shot prediction performance for acoustic shadow and caustic regions using trained neural networks, showcasing machine learning inference capabilities in underwater acoustics.
Flowchart illustrating the systematic approach to voyage optimization that balances fuel efficiency, weather routing considerations, and operational constraints for enhanced voyage planning outcomes.
Regional implementation study showcasing voyage optimization methodologies and fleet performance analysis in the Salish Sea marine environment with focus on route efficiency and environmental impact.